基于跨层设计的无线网络通信的研究
|
摘要
本文针对无线网络通信过程中，网络拥塞频繁发生的情况，通过对造成无线网络拥塞各类原因的分析，根据无线网络跨层设计和无线网络通信协作原理，对网络拥塞进行有效处理。通过对无线网络拥塞程度的划分，结合跨层设计的思想，对网络各层参数进行综合考虑，构造拥塞度划分函数，实现根据不同拥塞度采取不同拥塞处理机制的动态自适应体系。当拥塞度比较高时，根据有向图理论，采用有向合作路径网对网络拥塞进行处理。有向合作路径网是基于协作通信的一种思想，有效的分流了拥塞节点的负载压力，并且提升了网络资源的利用率。在形成有向合作路径网的过程中，利用基于博弈思想的QRD机制和QPCG信道竞争机制提高网络资源竞争的公平性；通过利用多元时间序列模型对网络吞吐量的预测，有效的提高了节点在进行网络协作时的目的性，进一步提升了网络整体性能。
本文提出的理论和模型，都经过数学模型和仿真验证。通过数学模型和仿真实现，验证了拥塞度划分体系的必要性。在有向合作路径网体系中加入QRD机制、QPCG信道竞争机制以及多元时间序列预测模型，通过仿真对比，验证了各类机制在吞吐量、投递率等方面对无线网络性能的优化程度。通过对仿真结果的分析和比较，本文提出的相应体系，有效的提高了网络资源利用率，加强了资源竞争的公平性，最终达到了提升网络性能的目的。
Cross-layer design is a joint optimization of crossing all the layers or severallayers of the protocol stack, in the case of a given resource constraints. As a keytheoretical innovation of the next generation wireless communication systems, theidea of cross-layer design is to regard the originally fragmented network layers as aunified whole to design, analysis, optimization and control, taking full advantage ofthe strong correlation between the layers to optimize the whole wireless networkprotocols. With the continuous expansion of the wireless network applications,distributed states, topology changes, resource constrains, high transmission quality,and other problems of the wireless network is becoming increasingly fierce. And theseissues will lead to the occurrence of the phenomenon of the wireless networkcongestion, in the wireless network transmission process. The reason for wirelessnetwork congestion has a very high complexity, making the traditional networkcongestion handling mechanism do not handle the phenomena of the wireless networkcongestion. The propose of cross-layer design, combined with the concept of thewireless network collaborative communication, provides a new direction to solve theproblem of the wireless network congestion.
This article, based on the concept of the cross-layer design in wireless networks,combined with the idea of the wireless network collaborative communication,analyzed the wireless network congestion problem, improved the congestion handlingmechanism of the wireless network. In this article, firstly, proposed the congestiondegree dividing mechanism, breaking the traditional congestion handling system,using the method of cross-layer design to solve the problem of diversity of wirelessnetwork congestion reasons, improved the dynamic adaptive ability of the wirelessnetwork. Then, specific to the mechanism of the wireless network congestion degreedivision, according to the principles of the collaborative communication, proposed theconcept of directed cooperative path network. Finally, to solve the blindness ofcross-layer node collaboration, proposed a model of average throughput forecastingbased on multivariate time series. Through the combination of cross-layer design and node collaborative communication, effectively improved the congestion handlingmechanism of the wireless network.
In this paper, specific to the complex and divers characteristics of the congestionreasons of the wireless networks, proposed a congestion handling mechanism tohandle the wireless network congestion. Through the analysis of the broadcast natureof wireless links, link interference, the dynamic changes of the network, terminalmobility, high bit error during the transmission, and other reasons causing congestion,which are existing in wireless networks, demonstrates the necessity of the congestiondivision mechanism. Through the cross-layer design method, monitoring the nodeinformation of every layer, formulated the mechanism of the congestion division ofthe wireless network nodes. The proposal the mechanism of congestion degreedivision makes wireless network congestion handling targeted, and improves thedynamic adaptive mechanism of the wireless network.
On the basis of the idea of congestion degree division, this article proposed theconcept of directed cooperative path network based on cross-layer collaborationcommunication. During the process of forming directed cooperative path network,through the method of cross-layer design, monitor the parameters of every layer of thecongested nodes, calculate load pressure of the nodes and the links, and the channelinterference level, then, select communication nodes according to the congestiondegree of the wireless network nodes. According to the establishment of the directedcooperative path network, effectively conduct load shunt and load pressure protectionfor the congested nodes, to avoid the occurrence of catastrophic congestion. To furtherenhance the fairness of packet send competition and channel competition of the node,based on the game theory and on the basis of the idea of fairness, this article proposedthe mechanism of QRD and the mechanism of QPCG channel competition, reducingthe virtual collision phenomenon when the queues send packets, reducing the delaytime of packet sending and channel competing. Through desalinating the priorityweights during frequent collisions, achieve an idea if non-fully collaborativecommunication. Through the application of game idea, improve the fairness ofwireless network competition, achieving the purpose of wireless network resourceoptimization.
Due to the time-varying characteristic of the wireless networks, this articleapplied time series to forecast the average throughput of the wireless network nodes, effectively provided a supplement of congestion degree division idea, conducting thenode to make a pretreatment before congested. Through the application of the ARIMAmodel, singly predict the average throughput of the nodes within short time, althoughit is with a certain accuracy, but for the complexity of the impact reasons of thetransmission, it is too far single, and impacts the prediction effect. In order toeffectively predict the average throughput of the node, this article also proposed aaverage throughput prediction model based on multivariate time series, through themethod of cross-layer design, monitor the changes of average throughput and packettransmit queue length during a period of time, then use the multivariate time series toforecast, providing prediction data for the node collaborative communication and theinter-node congestion handling.
In this paper, the methods and models, proposed above, through mathematicalmodeling and simulation, in a certain wireless state, improve the resource sharingdegree, strengthen fare competition, optimize collaborative communication methods,and enhance the dynamically adaptive capability of the wireless network.
本文提出的理论和模型，都经过数学模型和仿真验证。通过数学模型和仿真实现，验证了拥塞度划分体系的必要性。在有向合作路径网体系中加入QRD机制、QPCG信道竞争机制以及多元时间序列预测模型，通过仿真对比，验证了各类机制在吞吐量、投递率等方面对无线网络性能的优化程度。通过对仿真结果的分析和比较，本文提出的相应体系，有效的提高了网络资源利用率，加强了资源竞争的公平性，最终达到了提升网络性能的目的。
Cross-layer design is a joint optimization of crossing all the layers or severallayers of the protocol stack, in the case of a given resource constraints. As a keytheoretical innovation of the next generation wireless communication systems, theidea of cross-layer design is to regard the originally fragmented network layers as aunified whole to design, analysis, optimization and control, taking full advantage ofthe strong correlation between the layers to optimize the whole wireless networkprotocols. With the continuous expansion of the wireless network applications,distributed states, topology changes, resource constrains, high transmission quality,and other problems of the wireless network is becoming increasingly fierce. And theseissues will lead to the occurrence of the phenomenon of the wireless networkcongestion, in the wireless network transmission process. The reason for wirelessnetwork congestion has a very high complexity, making the traditional networkcongestion handling mechanism do not handle the phenomena of the wireless networkcongestion. The propose of cross-layer design, combined with the concept of thewireless network collaborative communication, provides a new direction to solve theproblem of the wireless network congestion.
This article, based on the concept of the cross-layer design in wireless networks,combined with the idea of the wireless network collaborative communication,analyzed the wireless network congestion problem, improved the congestion handlingmechanism of the wireless network. In this article, firstly, proposed the congestiondegree dividing mechanism, breaking the traditional congestion handling system,using the method of cross-layer design to solve the problem of diversity of wirelessnetwork congestion reasons, improved the dynamic adaptive ability of the wirelessnetwork. Then, specific to the mechanism of the wireless network congestion degreedivision, according to the principles of the collaborative communication, proposed theconcept of directed cooperative path network. Finally, to solve the blindness ofcross-layer node collaboration, proposed a model of average throughput forecastingbased on multivariate time series. Through the combination of cross-layer design and node collaborative communication, effectively improved the congestion handlingmechanism of the wireless network.
In this paper, specific to the complex and divers characteristics of the congestionreasons of the wireless networks, proposed a congestion handling mechanism tohandle the wireless network congestion. Through the analysis of the broadcast natureof wireless links, link interference, the dynamic changes of the network, terminalmobility, high bit error during the transmission, and other reasons causing congestion,which are existing in wireless networks, demonstrates the necessity of the congestiondivision mechanism. Through the cross-layer design method, monitoring the nodeinformation of every layer, formulated the mechanism of the congestion division ofthe wireless network nodes. The proposal the mechanism of congestion degreedivision makes wireless network congestion handling targeted, and improves thedynamic adaptive mechanism of the wireless network.
On the basis of the idea of congestion degree division, this article proposed theconcept of directed cooperative path network based on cross-layer collaborationcommunication. During the process of forming directed cooperative path network,through the method of cross-layer design, monitor the parameters of every layer of thecongested nodes, calculate load pressure of the nodes and the links, and the channelinterference level, then, select communication nodes according to the congestiondegree of the wireless network nodes. According to the establishment of the directedcooperative path network, effectively conduct load shunt and load pressure protectionfor the congested nodes, to avoid the occurrence of catastrophic congestion. To furtherenhance the fairness of packet send competition and channel competition of the node,based on the game theory and on the basis of the idea of fairness, this article proposedthe mechanism of QRD and the mechanism of QPCG channel competition, reducingthe virtual collision phenomenon when the queues send packets, reducing the delaytime of packet sending and channel competing. Through desalinating the priorityweights during frequent collisions, achieve an idea if non-fully collaborativecommunication. Through the application of game idea, improve the fairness ofwireless network competition, achieving the purpose of wireless network resourceoptimization.
Due to the time-varying characteristic of the wireless networks, this articleapplied time series to forecast the average throughput of the wireless network nodes, effectively provided a supplement of congestion degree division idea, conducting thenode to make a pretreatment before congested. Through the application of the ARIMAmodel, singly predict the average throughput of the nodes within short time, althoughit is with a certain accuracy, but for the complexity of the impact reasons of thetransmission, it is too far single, and impacts the prediction effect. In order toeffectively predict the average throughput of the node, this article also proposed aaverage throughput prediction model based on multivariate time series, through themethod of cross-layer design, monitor the changes of average throughput and packettransmit queue length during a period of time, then use the multivariate time series toforecast, providing prediction data for the node collaborative communication and theinter-node congestion handling.
In this paper, the methods and models, proposed above, through mathematicalmodeling and simulation, in a certain wireless state, improve the resource sharingdegree, strengthen fare competition, optimize collaborative communication methods,and enhance the dynamically adaptive capability of the wireless network.
引文
[1]张海霞,袁东风,马艳波.无线通信跨层设计—从原理到应用[M].北京,人民邮电出版社,2010
[2] Frank H.P. Fitzek and Marcos D.Katz.Cooperation in Wireless Networks: Principles and Applications[M].The Netherlands,Springer,2006
[3] Ekram Hossain,Kin K.Leung. Wireless Mesh Networks Architectures andProtocols[M]. Springer Science+Business Media,2008
[4] Z.Q.Luo. Universal Decentralized Detection in a Bandwidth Constrained Sensor Network[J]. IEEE Transactions on Signal Processing,2005,53(8):2617-2624
[5] Q.Tian and E.J.Coyle. Optimal Distributed Detection in Clustered Wireless SensorNetwork: The Weighted Median[J].In Proc. IEEE INFOCOM,2006
[6] S.Shakkottai, T.S.Rappaport and P.C.Karlsson. Cross-layer Design for Wireless Network[J].IEEE Communications Magazinc,2003,41(10):74-80
[7] M.V.Schaar and N.S.Shankar. Cross-layer wireless multimedia transmission:challenges, principles, and new paradigms[J].IEEE Wireless Communications,2005:50-58
[8] Z.Ji and K.J.Ray Liu. Dynamic Spectrum Sharing: A Game Theoretical Overview[J]. IEEE Communications Magazinc,2007,45:88-94
[9] A.Fattahi,F.Fu,M.van der Schaar, and F.Paganini. Mechanism-Based Resource Allocation for Multimedia Transmission over Spectrum Agile Wireless Network[J].IEEE J.Sel. Areas Commun,2007,25(3):601-612
[10] H.P.Shiang and M.van der Schaar. Queuing-Based Dynamic Channel Selectionfor Heterogeneous Multimedia Applications over Cognitive Radio Network[J].IEEE Trans. Multimedia,2008,10:896-909
[11] F.Fu and M.van der Schaar. Learning for Dynamic Bidding in Cognitive Radio Resources[J].CORR abs/0709,2005:2446
[12] L.Cao and H. Zheng. On the Efficiency and Complexity of Distributed SpectrumAllocation[J].in Proc. Of CrownCom,2007
[13] L.Cao and H.Zheng. Upper Bound of The Number of Channel for Conflict-FreeCommunication in Multi-Channel Wireless Networks[J]. in Proc. Of IEEE WCNC,2007
[14] D.Wu and R.Negi. Effective capacity: A wireless link model for support of quality of service[J].IEEE Trans. Wireless Commun.,2003,2(4):630-643
[15] Goldsmith A J,Wicker S B. Design challenges for energy-constrained ad hoc wireless network[J].IEEE Wireless Communications,2002,9(4):8-27
[16] Knopp R,Humblet P A. Information capacity and power control in single-cell multiuser communications[C].Proceeedings of ICC’95. Seattle: IEEE,1995:331-335
[17] Wong C Y,Cheng R S,Letaief K B,el al. Multiuser OFDM with adaptive subcarrier, bit, and power allocation[J].IEEE Journal on Selected Areas in Communications,1999,17(10):1747-1758
[18] Q.Liu,S.Zhou and G.B.Giannakis. Cross-layer combining of Adaptive Modulation and Coding with Truncated ARQ over Wireless Link[J].IEEE Transactions onWireless Communications,2004,3:1746-1755
[19] X.wang,Q.Liu and G.B.Giannakis. Analyzing and optimizing adaptive modulation and coding jointly with truncated ARQ for QoS-Guaranteed traffic[J].IEEE Transactions on Vehicular Technology,2007,56(2):710-720
[20] M.Omueti and Lj. Trajkovic.M-TCP+: using disconnection feedback to improveperformance of TCP in wired/wireless networks[J].Proc. SPECTS2007,San Diego,CA,USA,2007:443-450
[21] K.Fall and S.Floyd. Simulation based comparisons of Tahoe, Reno and SACK TCP[J].Computer Communications Review,1996,26(3):5-21
[22] M.N.Akhtar,M.A.O.Barry and H.S.Al-Raweshidy. Modified Tahoe TCP for wireless networks using OPNET simulator[J].Proc of LCS2003,London,2003
[23] Hangguan Shan,Weihua Zhuang.Cross-Layer Protocol Design for Distributed Wireless Networks with Novel Relay Selection[C].Global Telecommunication Conference,2010
[24] Qiong Shi,Cristina Comaniciu,Dandan Wang,Ufuk Tureli. Cross-layer MACdesign for location-aware wireless sensor networks [J].International Journal ofCommunication Systems,2011,24:872-888
[25] Su Kyoung Lee,Lae Young Kim. Drop policy to enhance TCP performance in OBS networks[J].IEEE Communications Letters,2006,10(4):299-301
[26] Yuci Guo,Pearce,D.A.J.,Mitchell,P.D. A receiver-based vertical handover mechanism for TCP congestion control[J]. Wireless Communications,IEEETransactions on,2006,5(10):2824-2833
[27] Ming-Fong Jhang,Sheng-Wei Lin and Wanjiun Liao.Coding and Capacity AwareRouting for Wireless Ad Hoc Networks[C].2010Ieee International Conference on Communications
[28] Luciano Bononia,Marco Di Felicea,Antonella Molinarob, Sara Pizzib.Enhancingmulti-hop communication over multi-radio multi-channel wireless meshnetworks: A cross-layer approach[J].Computer Communications,2011,34(13):1559–1569.
[29] A.Shevtekar,Karunakar Anantharam,N.Ansari. Low rate TCP denial-of-serviceattack detection at edge routers[J].IEEE Communications Letters,2005,9(4):363-365
[30] IEEE Computer Society LAN MAN StandaVRs Committee. Wireless LAN Medium Access Protocol(MAC) and Physical Layer(PHY) Specification.IEEE Sth802.11-1997[M].New York,NY,The Institute of Electrical and Electronics Engineers,1997
[31] R Caceres,L Iftode. The effects of mobility on reliable transport protocols[J]. Proceedings of the14th International Conference on Distributed Computing Systems,Poznan，Poland,IEEE1994:12-20
[32]王倩,徐如志,杨峰.无线网络中基于自适应带宽估计的跨层拥塞控制算法[J].山东大学学报（理学版）,2011,11(46):22-27
[33]夏海伦,丁炜.Ad Hoc网络中支持拥塞控制的速率自适应协议[J].吉林大学学报,2007,25(3):292-298
[34]陈超,郑宝玉,赵贤敬.一种利用跨层优化策略选择中继的协作路由算法[J].电子与信息学报,2007,29(12):2981-2985
[35]侯维娜,屈双惠.无线传感器网络中跨层优化自适应侦听机制研究[J].计算机工程与应用,2010,14(3):119-121
[36]马金忠,叶进,张向利.无线网络中基于显式拥塞反馈的TCP协议跨层设计研究[J].计算机科学,2009,36(3):82-85
[37]孙立新.基于跨层的无线传感器网络资源调度与路由算法研究[D].哈尔滨理工大学,2008.
[38]张晚生,刘凯,王力.移动AdHoc网络中的分布式协作路由算法[J].西安电子科技大学学报,2011,38(5):43-50
[39] G.J.Foschini. Layered Space-time Architecture for Wireless Communication in Fading Environment When Using Multiple Antennas[J].Bell Labs Technical Journal,1996:41-59
[40] V.Tarokh,H.Jafarkhani and A.R.Calderbank. Space-time block coding for wireless communications: performance results[J].IEEE Journal on Selected Areas in Communications,1999,17(3):451-460
[41] A.Paulraj,R.Nabar and D.Gore. Introduction to Space-Time Wireless Communications[M].Cambridge University Press,2003
[42] Sendonaris A.,Erkip E. and Aazhang B.. User cooperation diversity(PartI):System description[J].IEEE Trans.Commun.,2003,51:1927-1938
[43] Laneman J.N.,Tse D.N.C. and Wornell G.W.. Cooperative diversity in wireless networks: Efficient protocols and outage behavior[J].IEEE Trans.Inform.Theory,2003,49(10):2415-2425
[44]谢显中，雷维嘉，马彬，高川.认知与协作无线通信网络[M].北京,人民邮电出版社,2012
[45] Mischa Dohler and Yonghui Li. Cooperative Wireless Communications: Hardware,Channel&PHY[M].Wiley,2010
[46] A.B.Carleial. Inteference Channels[J].IEEE Transaction on InformationTheory,1978,24(1):60-70
[47] Chengnian Long,Qun Chi,Xinping Guan, Tongwen Chen.Joint random access and power control game in ad hoc networks with noncooperative users[J]. Ad HocNetworks,2011,9:142–151
[48] Elzbieta Beres and Raviraj Adve.Cooperation and Routing in Multi-Hop Networks[C].2007Ieee International Conference on Communications, Vols1-14：4766-4771
[49] Kemal Bicakci,Bulent Tavli.Prolonging network lifetime with multi-domain cooperation strategies in wireless sensor networks[J]. Ad Hoc Networks,2010,8:582–596
[50] Dimitris E. Charilas,Konstantinos D. Georgilakis, Athanasios D. Panagopoulos.hybrId inCentive mechAnism for coopeRation stimulation[J]. Ad HocNetworks,2012,10:976–989
[51]黄蕾,刘立祥.Adhoc网络寻路阶段的合作激励机制研究[J].计算机学报,2008,31(2):262-269
[52]王博,黄传河.AdHoc网络中一种基于防策略支付模型的安全激励合作算法[J].计算机学报,2012,35(7):1370-1389
[53]汪洋,林闯,李泉林,王竞奇,姜欣.基于非合作博弈的无线网络路由机制研究[J].计算机学报,2009,32(1):54-68
[54]余官定,张朝阳,仇佩亮.基于合作分集的新型自动重传协议[J].通信学报,2006,27(12):20-25
[55]李小勇,桂小林.可信网络中基于多维决策属性的信任量化模型[J].计算机学报,2009,32(3):405-416
[56]田立勤,林闯.可信网络中一种基于行为信任预测的博弈控制机制[J].计算机学报,2007,38(11):1930-1938
[57]孙强,李腊元,陈年生.一种基于博弈论模型的Ad Hoc网络功率控制算法[J].计算机学报,2009,32(1):169-176
[58]杨娟,李颖,张志军,李季青.移动Ad hoc网络容量非合作规划博弈模型的稳定性[J].电子与信息学报,2012,34(1):75-81
[59]谭长庚,罗文燕,陈松乔,王建新.移动Adhoc网络中节点合作性研究综述[J].计算机科学,2007,34(4):24-27
[60]张晚生,刘凯,王力.移动AdHoc网络中的分布式协作路由算法[J].西安电子科技大学学报（自然科学版）,2011,38(5):43-50
[61]王博,黄传河,杨文忠,但峰,徐利亚.Ad Hoc网络中基于惩罚机制的激励合作转发模型[J].计算机研究与发展,2011,48(3):398-406
[62]郭建立.移动自组网中节点合作方法的研究[D].哈尔滨工业大学,2009
[63] O’Neill D.,Julian D. and Boyed S.. Seeking Foschini’s genie: optimal rates and powers in wireless networks[J].IEEE Transactions on Vehicular Technology. ToAppear,2004
[64] Johansson M. and Xiao L.. Scheduling, routing and power allocation for fairnessin wireless networks[J].In Proc. IEEE Vehicular Technology Conference,Spring,2004
[65] Kodialam M. and Nandagopal T.. Characterizing achievable rates in multi-hop wireless networks:The joint routing and scheduling problem[M].In Pro. MobiC om,2003
[66] Jain K.,Padhye J.,Padmanabhan V.N. and Qiu L.. Impact of interference on multihop wireless network performance[M].In Proc. MobiCom,2003
[67] Radunovic B. and Boudec J.Y.Le. Joint scheduling, power control and routing insymmetric, one-dimensional, multi-hop wireless networks[M].In Pro. Modeling and Optimization in Mobile, Ad Hoc and Wireless Networks(WiOpt),2003
[68] Koetter R. and Medard M.. An algebraic approach to network coding[J].IEEE Transaction on Information Theory,2003,11(5):782-795
[69] Liu L. and Ge H.. Space-time coding for wireless sensor networks with cooperateve routing diversity[J].In The Thirty-Eighth Asilomar Conference on signal, Systems, and Computers,2003
[70] Hares S.,YaniKomeroglu H. and Hashem B.. Diversity-and amc (adaptive modulation and coding)-aware routing in tdma multihop networks[M].In Proc. Globecom,2003
[71] Cui S. and Goldsmith A.J.. Cross-layer optimization of sensor networks based oncooperativ mimo techniques with rate adaptation[J].In Proc. IEEE SPAWC,2005
[72] Ganesan D.,Cristescu R. and Beferull-Lozano B.. Power-efficient sensor placement and transmission structure for data gathering under distortion constraints[J]. Third International Symposium on Information Processing in Sensor Networks,2004
[73] Xiao J.,Cui S.,Luo Z.Q. and Goldsmith A.J.. Joint estimation in sensor networksunder energy constraint[J].IEEE1st Conference on sensor and Ad Hoc Communications and Networks,2004
[74] Begen A.C.,Altunbasbk Y.,Ergun O. and Begen M.A.. Real-time multiple description and layered encoded video streaming with optimal diverse routing[J].In IEEE International Symposium on Computers and Communication,2003
[75] P.Liu,Z.Tao,Z..Lin,E.Erkip and S.Panwar. Cooperative wireless communications:A crosslayer approach[J].IEEE Wireless Communications,2006,13(4):84-92
[76] A.K.Sadek,K.J.R.Liu and A.Ephremides. Cooperative multiple access for wireless networks: Protocols design and stability analysis[J].40th Annual Conference onI nformation Sciences and Systems,2006:1224-1229
[77] T.C.Y.Ng and W. Yu. Joint optimization of relay strategies and resource allocations in cooperative cellular networks[J].IEEE Journal on Selected Areas in Communications,2007,25(2):328-339
[78] I.F.Akyildiz,M.C.Vuran and O.B.Akan. A cross-layer protocol for wireless sensor networks[J].40th Annual Conference on Information Sciences and Systems,2006:1102-1107
[79] Blefari-Melazzi N.,Detti A.,Habib I.,Ordine A. and Salsano S.. TCP Fairness Issues in IEEE802.11Networks: Problem Analysis and Solutions Based on Rate Control[J].IEEE Transactions on Wireless Communications,2007,6(4):1364-1355
[80] Shao Liu, Basar T. and Srikant R.. Exponential-RED: a stabilizing AQM schemefor low-and high-speed TCP protocols[J].IEEE/ACM Transactions on Networking,2005,13(5):1068-1081
[81] Kalampoukas L.. Congestion management in high speed networks[M].UCSU,1997
[82] Tanenbaum A.S.. Computer Networks[J].3th ed.,Prentice Hall,Inc.,1996
[83] Yuh-Shyan Chen,Wei-Han Hsiao,Kau-Lin Chiu. A cross-layer partner-based fasthandoff mechanism for IEEE802.11wireless networks[J].International Journal of Communication Systems,22(12),2009:1515–1541
[84] Dionysia Triantafyllopoulou, Nikos Passas,Evangelos Zervas and Lazaros Merakos.Analysis and optimization of a cross-layer adaptation mechanism for real-timeapplications in wireless networks [J].WirelessNetworks,2011,17:1339–1354
[85]吴国伟,张岩.无线传感器网络中的逐跳跨层拥塞控制[J].计算机工程,2010,36(16):108-109
[86] Michelle X. Gonga,Scott F. Midkiffb,Shiwen Maoc, On-demand routing and channel assignment in multi-channel mobile ad hoc networks[J].Ad Hoc Networks,2009,7(1):63–78.
[87] Vinicius C.M. Borges,Marilia Curado,Edmundo Monteiro, Cross-layer routing metrics for mesh networks: Current status and research directions [J].Computer Communications,2011,34:681-703.
[88]王辛果,张信明,陈国良.时延受限且能量高效的无线传感网络跨层路由[J].软件学报,2011,22(7):1626-1640
[89]韩冰青,张宏.无线Ad Hoc网络中QoS感知的跨层资源分配算法[J].软件学报,2010,21(12):3038-3150
[90]徐伟强,汪亚明,俞成海,刘良桂,张云华.移动Ad Hoc网络的跨层优化拥塞控制[J].软件学报,2010,21(7):1667-1678
[91]苏凡军,陈义荣.无线多跳网络节点合作算法研究综述[J].微计算机信息,2011,4(3):24-26
[92]郑国强,孙若玉.一种适用于无线传感器网络的跨层高效MAC协议[J].传感技术学报,2009,22(1):95-99
[93][美]保罗·萨缪尔森，威廉·诺德豪斯.微观经济学[M].16版.萧琛等译.北京，华夏出版社，1999.
[94]陈钊.信息与激励经济学[M].上海，上海三联书店，上海人民出版社，2005.
[95] AXELROD R. The evolution of cooperation[M]. New York，Basic Books,1984.
[96]张维迎.博弈论与信息经济学[M].上海，上海三联书店，上海人民出版社，2004.
[97] SENDONARIS A, ERKIP E, AAZHANG B. User cooperation diversity-partI:system description[J]. IEEE Trans.Commun.2003,51(11):1927-1938.
[98] SENDONARIS A, ERKIP E, AAZHANG B. User cooperation diversity-partII:system description[J]. IEEE Trans. Commun.2003,51(11):1939-1948.
[99] HUANG JIANWEI, HAN ZHU, CHIANG MUNG, al. Auction-based distributedresource allocation for cooperation transmission in wireless networks[C]//Proc.Of the IEEE GLOBECOM. New York, IEEE,2007:4807-4812.
[100] ZHANG GUOPENG, CONG LI, ZHAO LIQIANG et al. Competitive resourcesharing based on game theory in cooperative relay networks[J]. ETRI Journal.2009,31(1):89-91.
[101] YAICHE H, MAZUMDAR R R, ROSENBERG C. A game theoretic framework for bandwidth allocation and pricing in broadband networks[J].IEEE/ACM Trans. Netw.2000,8(5):667-678.
[102]张国鹏.基于博弈论的无线网络资源竞争与协作机制研究[M].江苏徐州，中国矿业大学出版社，2011
[103] ZHAO LIQIANG,ZHANG HAILIN. Using incompletely cooperative gametheory in mobile Ad Hoc network[C].Proc. of IEEE ICC. New York：IEEEPress.2007:3401-3406
[104] ZHAO LIQIANG,ZHANG JIE,ZHANG HAILIN. Using incompletely cooperative game theory in wireless Mesh networks[J].IEEE Network.2008,22(1):39-44
[105]王燕.应用时间学列分析[M].北京,中国人民大学出版社,2008
[106] Peter J.Brockwell,Richard A.Davis.Time Series: Theory and Methods[M].NewYork,Springer-Verlag,1991
[107] Min Gan,Hui Peng,Xiaoyan Peng,Xiaohong Chen,Garba Inoussa.A locally linear RBF network-based state-dependent AR model for nonlinear time series modeling[J]. Information Sciences,2010,180:4370-4383
[108]韩志杰,王汝传,凡高娟,肖甫.一种基于ARMA的WSN非均衡分簇路由算法[J].电子学报,2010,38(4):865-869
[109]沙毅,闫星星,唐逊.基于流量预测的Ad Hoc网络负载均衡协议[J].东北大学学报(自然科学版),2012,33(10):1403-1406
[110]沙毅,杨艳,黄烨,朱丽春,张志伟.基于ARIMA模型的Ad-hoc网络节点位置预测加权分簇算法[J].计算机科学,2012,39(3):47-50
[111]张冉,赵成龙.ARIMA模型在网络流量预测中的应用研究[J].计算机仿真,2011,28(2):171-174
[112]李捷,刘先省,韩志杰.基于ARMA的无线传感器网络流量预测模型的研究[J].电子与信息学报,2007,29(5):1225-1227
[113]曹永洁,齐建东,赵燕东,臧哲.无线传感器网络能耗均衡的流量调节机制[J].计算机工程,2012,38(1):99-101
[114]史浩山,杨俊刚,李田.无线传感器网络时间序列流量预估算法[J].中国电子科学研究院学报,2010,5(2):122-125
[115]连进.基于移动预测的AdHoc网络路由技术的研究[D].武汉理工大学,2008
[2] Frank H.P. Fitzek and Marcos D.Katz.Cooperation in Wireless Networks: Principles and Applications[M].The Netherlands,Springer,2006
[3] Ekram Hossain,Kin K.Leung. Wireless Mesh Networks Architectures andProtocols[M]. Springer Science+Business Media,2008
[4] Z.Q.Luo. Universal Decentralized Detection in a Bandwidth Constrained Sensor Network[J]. IEEE Transactions on Signal Processing,2005,53(8):2617-2624
[5] Q.Tian and E.J.Coyle. Optimal Distributed Detection in Clustered Wireless SensorNetwork: The Weighted Median[J].In Proc. IEEE INFOCOM,2006
[6] S.Shakkottai, T.S.Rappaport and P.C.Karlsson. Cross-layer Design for Wireless Network[J].IEEE Communications Magazinc,2003,41(10):74-80
[7] M.V.Schaar and N.S.Shankar. Cross-layer wireless multimedia transmission:challenges, principles, and new paradigms[J].IEEE Wireless Communications,2005:50-58
[8] Z.Ji and K.J.Ray Liu. Dynamic Spectrum Sharing: A Game Theoretical Overview[J]. IEEE Communications Magazinc,2007,45:88-94
[9] A.Fattahi,F.Fu,M.van der Schaar, and F.Paganini. Mechanism-Based Resource Allocation for Multimedia Transmission over Spectrum Agile Wireless Network[J].IEEE J.Sel. Areas Commun,2007,25(3):601-612
[10] H.P.Shiang and M.van der Schaar. Queuing-Based Dynamic Channel Selectionfor Heterogeneous Multimedia Applications over Cognitive Radio Network[J].IEEE Trans. Multimedia,2008,10:896-909
[11] F.Fu and M.van der Schaar. Learning for Dynamic Bidding in Cognitive Radio Resources[J].CORR abs/0709,2005:2446
[12] L.Cao and H. Zheng. On the Efficiency and Complexity of Distributed SpectrumAllocation[J].in Proc. Of CrownCom,2007
[13] L.Cao and H.Zheng. Upper Bound of The Number of Channel for Conflict-FreeCommunication in Multi-Channel Wireless Networks[J]. in Proc. Of IEEE WCNC,2007
[14] D.Wu and R.Negi. Effective capacity: A wireless link model for support of quality of service[J].IEEE Trans. Wireless Commun.,2003,2(4):630-643
[15] Goldsmith A J,Wicker S B. Design challenges for energy-constrained ad hoc wireless network[J].IEEE Wireless Communications,2002,9(4):8-27
[16] Knopp R,Humblet P A. Information capacity and power control in single-cell multiuser communications[C].Proceeedings of ICC’95. Seattle: IEEE,1995:331-335
[17] Wong C Y,Cheng R S,Letaief K B,el al. Multiuser OFDM with adaptive subcarrier, bit, and power allocation[J].IEEE Journal on Selected Areas in Communications,1999,17(10):1747-1758
[18] Q.Liu,S.Zhou and G.B.Giannakis. Cross-layer combining of Adaptive Modulation and Coding with Truncated ARQ over Wireless Link[J].IEEE Transactions onWireless Communications,2004,3:1746-1755
[19] X.wang,Q.Liu and G.B.Giannakis. Analyzing and optimizing adaptive modulation and coding jointly with truncated ARQ for QoS-Guaranteed traffic[J].IEEE Transactions on Vehicular Technology,2007,56(2):710-720
[20] M.Omueti and Lj. Trajkovic.M-TCP+: using disconnection feedback to improveperformance of TCP in wired/wireless networks[J].Proc. SPECTS2007,San Diego,CA,USA,2007:443-450
[21] K.Fall and S.Floyd. Simulation based comparisons of Tahoe, Reno and SACK TCP[J].Computer Communications Review,1996,26(3):5-21
[22] M.N.Akhtar,M.A.O.Barry and H.S.Al-Raweshidy. Modified Tahoe TCP for wireless networks using OPNET simulator[J].Proc of LCS2003,London,2003
[23] Hangguan Shan,Weihua Zhuang.Cross-Layer Protocol Design for Distributed Wireless Networks with Novel Relay Selection[C].Global Telecommunication Conference,2010
[24] Qiong Shi,Cristina Comaniciu,Dandan Wang,Ufuk Tureli. Cross-layer MACdesign for location-aware wireless sensor networks [J].International Journal ofCommunication Systems,2011,24:872-888
[25] Su Kyoung Lee,Lae Young Kim. Drop policy to enhance TCP performance in OBS networks[J].IEEE Communications Letters,2006,10(4):299-301
[26] Yuci Guo,Pearce,D.A.J.,Mitchell,P.D. A receiver-based vertical handover mechanism for TCP congestion control[J]. Wireless Communications,IEEETransactions on,2006,5(10):2824-2833
[27] Ming-Fong Jhang,Sheng-Wei Lin and Wanjiun Liao.Coding and Capacity AwareRouting for Wireless Ad Hoc Networks[C].2010Ieee International Conference on Communications
[28] Luciano Bononia,Marco Di Felicea,Antonella Molinarob, Sara Pizzib.Enhancingmulti-hop communication over multi-radio multi-channel wireless meshnetworks: A cross-layer approach[J].Computer Communications,2011,34(13):1559–1569.
[29] A.Shevtekar,Karunakar Anantharam,N.Ansari. Low rate TCP denial-of-serviceattack detection at edge routers[J].IEEE Communications Letters,2005,9(4):363-365
[30] IEEE Computer Society LAN MAN StandaVRs Committee. Wireless LAN Medium Access Protocol(MAC) and Physical Layer(PHY) Specification.IEEE Sth802.11-1997[M].New York,NY,The Institute of Electrical and Electronics Engineers,1997
[31] R Caceres,L Iftode. The effects of mobility on reliable transport protocols[J]. Proceedings of the14th International Conference on Distributed Computing Systems,Poznan，Poland,IEEE1994:12-20
[32]王倩,徐如志,杨峰.无线网络中基于自适应带宽估计的跨层拥塞控制算法[J].山东大学学报（理学版）,2011,11(46):22-27
[33]夏海伦,丁炜.Ad Hoc网络中支持拥塞控制的速率自适应协议[J].吉林大学学报,2007,25(3):292-298
[34]陈超,郑宝玉,赵贤敬.一种利用跨层优化策略选择中继的协作路由算法[J].电子与信息学报,2007,29(12):2981-2985
[35]侯维娜,屈双惠.无线传感器网络中跨层优化自适应侦听机制研究[J].计算机工程与应用,2010,14(3):119-121
[36]马金忠,叶进,张向利.无线网络中基于显式拥塞反馈的TCP协议跨层设计研究[J].计算机科学,2009,36(3):82-85
[37]孙立新.基于跨层的无线传感器网络资源调度与路由算法研究[D].哈尔滨理工大学,2008.
[38]张晚生,刘凯,王力.移动AdHoc网络中的分布式协作路由算法[J].西安电子科技大学学报,2011,38(5):43-50
[39] G.J.Foschini. Layered Space-time Architecture for Wireless Communication in Fading Environment When Using Multiple Antennas[J].Bell Labs Technical Journal,1996:41-59
[40] V.Tarokh,H.Jafarkhani and A.R.Calderbank. Space-time block coding for wireless communications: performance results[J].IEEE Journal on Selected Areas in Communications,1999,17(3):451-460
[41] A.Paulraj,R.Nabar and D.Gore. Introduction to Space-Time Wireless Communications[M].Cambridge University Press,2003
[42] Sendonaris A.,Erkip E. and Aazhang B.. User cooperation diversity(PartI):System description[J].IEEE Trans.Commun.,2003,51:1927-1938
[43] Laneman J.N.,Tse D.N.C. and Wornell G.W.. Cooperative diversity in wireless networks: Efficient protocols and outage behavior[J].IEEE Trans.Inform.Theory,2003,49(10):2415-2425
[44]谢显中，雷维嘉，马彬，高川.认知与协作无线通信网络[M].北京,人民邮电出版社,2012
[45] Mischa Dohler and Yonghui Li. Cooperative Wireless Communications: Hardware,Channel&PHY[M].Wiley,2010
[46] A.B.Carleial. Inteference Channels[J].IEEE Transaction on InformationTheory,1978,24(1):60-70
[47] Chengnian Long,Qun Chi,Xinping Guan, Tongwen Chen.Joint random access and power control game in ad hoc networks with noncooperative users[J]. Ad HocNetworks,2011,9:142–151
[48] Elzbieta Beres and Raviraj Adve.Cooperation and Routing in Multi-Hop Networks[C].2007Ieee International Conference on Communications, Vols1-14：4766-4771
[49] Kemal Bicakci,Bulent Tavli.Prolonging network lifetime with multi-domain cooperation strategies in wireless sensor networks[J]. Ad Hoc Networks,2010,8:582–596
[50] Dimitris E. Charilas,Konstantinos D. Georgilakis, Athanasios D. Panagopoulos.hybrId inCentive mechAnism for coopeRation stimulation[J]. Ad HocNetworks,2012,10:976–989
[51]黄蕾,刘立祥.Adhoc网络寻路阶段的合作激励机制研究[J].计算机学报,2008,31(2):262-269
[52]王博,黄传河.AdHoc网络中一种基于防策略支付模型的安全激励合作算法[J].计算机学报,2012,35(7):1370-1389
[53]汪洋,林闯,李泉林,王竞奇,姜欣.基于非合作博弈的无线网络路由机制研究[J].计算机学报,2009,32(1):54-68
[54]余官定,张朝阳,仇佩亮.基于合作分集的新型自动重传协议[J].通信学报,2006,27(12):20-25
[55]李小勇,桂小林.可信网络中基于多维决策属性的信任量化模型[J].计算机学报,2009,32(3):405-416
[56]田立勤,林闯.可信网络中一种基于行为信任预测的博弈控制机制[J].计算机学报,2007,38(11):1930-1938
[57]孙强,李腊元,陈年生.一种基于博弈论模型的Ad Hoc网络功率控制算法[J].计算机学报,2009,32(1):169-176
[58]杨娟,李颖,张志军,李季青.移动Ad hoc网络容量非合作规划博弈模型的稳定性[J].电子与信息学报,2012,34(1):75-81
[59]谭长庚,罗文燕,陈松乔,王建新.移动Adhoc网络中节点合作性研究综述[J].计算机科学,2007,34(4):24-27
[60]张晚生,刘凯,王力.移动AdHoc网络中的分布式协作路由算法[J].西安电子科技大学学报（自然科学版）,2011,38(5):43-50
[61]王博,黄传河,杨文忠,但峰,徐利亚.Ad Hoc网络中基于惩罚机制的激励合作转发模型[J].计算机研究与发展,2011,48(3):398-406
[62]郭建立.移动自组网中节点合作方法的研究[D].哈尔滨工业大学,2009
[63] O’Neill D.,Julian D. and Boyed S.. Seeking Foschini’s genie: optimal rates and powers in wireless networks[J].IEEE Transactions on Vehicular Technology. ToAppear,2004
[64] Johansson M. and Xiao L.. Scheduling, routing and power allocation for fairnessin wireless networks[J].In Proc. IEEE Vehicular Technology Conference,Spring,2004
[65] Kodialam M. and Nandagopal T.. Characterizing achievable rates in multi-hop wireless networks:The joint routing and scheduling problem[M].In Pro. MobiC om,2003
[66] Jain K.,Padhye J.,Padmanabhan V.N. and Qiu L.. Impact of interference on multihop wireless network performance[M].In Proc. MobiCom,2003
[67] Radunovic B. and Boudec J.Y.Le. Joint scheduling, power control and routing insymmetric, one-dimensional, multi-hop wireless networks[M].In Pro. Modeling and Optimization in Mobile, Ad Hoc and Wireless Networks(WiOpt),2003
[68] Koetter R. and Medard M.. An algebraic approach to network coding[J].IEEE Transaction on Information Theory,2003,11(5):782-795
[69] Liu L. and Ge H.. Space-time coding for wireless sensor networks with cooperateve routing diversity[J].In The Thirty-Eighth Asilomar Conference on signal, Systems, and Computers,2003
[70] Hares S.,YaniKomeroglu H. and Hashem B.. Diversity-and amc (adaptive modulation and coding)-aware routing in tdma multihop networks[M].In Proc. Globecom,2003
[71] Cui S. and Goldsmith A.J.. Cross-layer optimization of sensor networks based oncooperativ mimo techniques with rate adaptation[J].In Proc. IEEE SPAWC,2005
[72] Ganesan D.,Cristescu R. and Beferull-Lozano B.. Power-efficient sensor placement and transmission structure for data gathering under distortion constraints[J]. Third International Symposium on Information Processing in Sensor Networks,2004
[73] Xiao J.,Cui S.,Luo Z.Q. and Goldsmith A.J.. Joint estimation in sensor networksunder energy constraint[J].IEEE1st Conference on sensor and Ad Hoc Communications and Networks,2004
[74] Begen A.C.,Altunbasbk Y.,Ergun O. and Begen M.A.. Real-time multiple description and layered encoded video streaming with optimal diverse routing[J].In IEEE International Symposium on Computers and Communication,2003
[75] P.Liu,Z.Tao,Z..Lin,E.Erkip and S.Panwar. Cooperative wireless communications:A crosslayer approach[J].IEEE Wireless Communications,2006,13(4):84-92
[76] A.K.Sadek,K.J.R.Liu and A.Ephremides. Cooperative multiple access for wireless networks: Protocols design and stability analysis[J].40th Annual Conference onI nformation Sciences and Systems,2006:1224-1229
[77] T.C.Y.Ng and W. Yu. Joint optimization of relay strategies and resource allocations in cooperative cellular networks[J].IEEE Journal on Selected Areas in Communications,2007,25(2):328-339
[78] I.F.Akyildiz,M.C.Vuran and O.B.Akan. A cross-layer protocol for wireless sensor networks[J].40th Annual Conference on Information Sciences and Systems,2006:1102-1107
[79] Blefari-Melazzi N.,Detti A.,Habib I.,Ordine A. and Salsano S.. TCP Fairness Issues in IEEE802.11Networks: Problem Analysis and Solutions Based on Rate Control[J].IEEE Transactions on Wireless Communications,2007,6(4):1364-1355
[80] Shao Liu, Basar T. and Srikant R.. Exponential-RED: a stabilizing AQM schemefor low-and high-speed TCP protocols[J].IEEE/ACM Transactions on Networking,2005,13(5):1068-1081
[81] Kalampoukas L.. Congestion management in high speed networks[M].UCSU,1997
[82] Tanenbaum A.S.. Computer Networks[J].3th ed.,Prentice Hall,Inc.,1996
[83] Yuh-Shyan Chen,Wei-Han Hsiao,Kau-Lin Chiu. A cross-layer partner-based fasthandoff mechanism for IEEE802.11wireless networks[J].International Journal of Communication Systems,22(12),2009:1515–1541
[84] Dionysia Triantafyllopoulou, Nikos Passas,Evangelos Zervas and Lazaros Merakos.Analysis and optimization of a cross-layer adaptation mechanism for real-timeapplications in wireless networks [J].WirelessNetworks,2011,17:1339–1354
[85]吴国伟,张岩.无线传感器网络中的逐跳跨层拥塞控制[J].计算机工程,2010,36(16):108-109
[86] Michelle X. Gonga,Scott F. Midkiffb,Shiwen Maoc, On-demand routing and channel assignment in multi-channel mobile ad hoc networks[J].Ad Hoc Networks,2009,7(1):63–78.
[87] Vinicius C.M. Borges,Marilia Curado,Edmundo Monteiro, Cross-layer routing metrics for mesh networks: Current status and research directions [J].Computer Communications,2011,34:681-703.
[88]王辛果,张信明,陈国良.时延受限且能量高效的无线传感网络跨层路由[J].软件学报,2011,22(7):1626-1640
[89]韩冰青,张宏.无线Ad Hoc网络中QoS感知的跨层资源分配算法[J].软件学报,2010,21(12):3038-3150
[90]徐伟强,汪亚明,俞成海,刘良桂,张云华.移动Ad Hoc网络的跨层优化拥塞控制[J].软件学报,2010,21(7):1667-1678
[91]苏凡军,陈义荣.无线多跳网络节点合作算法研究综述[J].微计算机信息,2011,4(3):24-26
[92]郑国强,孙若玉.一种适用于无线传感器网络的跨层高效MAC协议[J].传感技术学报,2009,22(1):95-99
[93][美]保罗·萨缪尔森，威廉·诺德豪斯.微观经济学[M].16版.萧琛等译.北京，华夏出版社，1999.
[94]陈钊.信息与激励经济学[M].上海，上海三联书店，上海人民出版社，2005.
[95] AXELROD R. The evolution of cooperation[M]. New York，Basic Books,1984.
[96]张维迎.博弈论与信息经济学[M].上海，上海三联书店，上海人民出版社，2004.
[97] SENDONARIS A, ERKIP E, AAZHANG B. User cooperation diversity-partI:system description[J]. IEEE Trans.Commun.2003,51(11):1927-1938.
[98] SENDONARIS A, ERKIP E, AAZHANG B. User cooperation diversity-partII:system description[J]. IEEE Trans. Commun.2003,51(11):1939-1948.
[99] HUANG JIANWEI, HAN ZHU, CHIANG MUNG, al. Auction-based distributedresource allocation for cooperation transmission in wireless networks[C]//Proc.Of the IEEE GLOBECOM. New York, IEEE,2007:4807-4812.
[100] ZHANG GUOPENG, CONG LI, ZHAO LIQIANG et al. Competitive resourcesharing based on game theory in cooperative relay networks[J]. ETRI Journal.2009,31(1):89-91.
[101] YAICHE H, MAZUMDAR R R, ROSENBERG C. A game theoretic framework for bandwidth allocation and pricing in broadband networks[J].IEEE/ACM Trans. Netw.2000,8(5):667-678.
[102]张国鹏.基于博弈论的无线网络资源竞争与协作机制研究[M].江苏徐州，中国矿业大学出版社，2011
[103] ZHAO LIQIANG,ZHANG HAILIN. Using incompletely cooperative gametheory in mobile Ad Hoc network[C].Proc. of IEEE ICC. New York：IEEEPress.2007:3401-3406
[104] ZHAO LIQIANG,ZHANG JIE,ZHANG HAILIN. Using incompletely cooperative game theory in wireless Mesh networks[J].IEEE Network.2008,22(1):39-44
[105]王燕.应用时间学列分析[M].北京,中国人民大学出版社,2008
[106] Peter J.Brockwell,Richard A.Davis.Time Series: Theory and Methods[M].NewYork,Springer-Verlag,1991
[107] Min Gan,Hui Peng,Xiaoyan Peng,Xiaohong Chen,Garba Inoussa.A locally linear RBF network-based state-dependent AR model for nonlinear time series modeling[J]. Information Sciences,2010,180:4370-4383
[108]韩志杰,王汝传,凡高娟,肖甫.一种基于ARMA的WSN非均衡分簇路由算法[J].电子学报,2010,38(4):865-869
[109]沙毅,闫星星,唐逊.基于流量预测的Ad Hoc网络负载均衡协议[J].东北大学学报(自然科学版),2012,33(10):1403-1406
[110]沙毅,杨艳,黄烨,朱丽春,张志伟.基于ARIMA模型的Ad-hoc网络节点位置预测加权分簇算法[J].计算机科学,2012,39(3):47-50
[111]张冉,赵成龙.ARIMA模型在网络流量预测中的应用研究[J].计算机仿真,2011,28(2):171-174
[112]李捷,刘先省,韩志杰.基于ARMA的无线传感器网络流量预测模型的研究[J].电子与信息学报,2007,29(5):1225-1227
[113]曹永洁,齐建东,赵燕东,臧哲.无线传感器网络能耗均衡的流量调节机制[J].计算机工程,2012,38(1):99-101
[114]史浩山,杨俊刚,李田.无线传感器网络时间序列流量预估算法[J].中国电子科学研究院学报,2010,5(2):122-125
[115]连进.基于移动预测的AdHoc网络路由技术的研究[D].武汉理工大学,2008