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UCUBG:基于等级划分的水下传感器网络非均匀分簇算法
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  • 英文篇名:UCUBG: An uneven clustering algorithm for UWSNs based on grading
  • 作者:李志华 ; 赵昭 ; 魏忠诚 ; 刘春凤 ; 赵继军
  • 英文作者:LI Zhi-hua;ZHAO Zhao;WEI Zhong-cheng;LIU Chun-feng;ZHAO Ji-jun;School of Information & Electrical Engineering,Hebei University of Engineering;School of Computer Science and Technology,Tianjin University;
  • 关键词:水下传感器网络 ; 分簇算法 ; 能耗均衡 ; 降低时延 ; 等级划分 ; 节点密度
  • 英文关键词:UWSNs;;clustering algorithm;;energy balance;;decrease delay;;grading;;node density
  • 中文刊名:KZYC
  • 英文刊名:Control and Decision
  • 机构:河北工程大学信息与电气工程学院;天津大学计算机科学与技术学院;
  • 出版日期:2017-12-07 13:18
  • 出版单位:控制与决策
  • 年:2019
  • 期:v.34
  • 基金:国家自然科学基金项目(61402327,61363081);; 河北省自然科学基金项目(F2015402108,F2016402054);; 河北省物联网数据采集与处理工程技术研究中心开放课题
  • 语种:中文;
  • 页:KZYC201901011
  • 页数:8
  • CN:01
  • ISSN:21-1124/TP
  • 分类号:92-99
摘要
随着海洋经济发展,水下无线传感器网络已成为研究热点.针对水下传感器网络中集中式分簇困难,能耗不均和水声时延长问题,提出一种基于等级划分的分布式非均匀分簇算法.该算法首先利用平均能量与节点密度相结合的阈值函数以及综合考虑节点深度和节点密度的簇首竞争半径函数,选择簇首节点,使簇首分布更加合理和均匀;然后划分簇首等级,优化入簇过程,均衡具有不同簇间传输任务的簇内负载;最后结合簇首等级和贪心算法,构建簇间多跳传输路由,降低整体通信能耗和时延.仿真结果表明,所提出的算法不仅能均衡能耗,延长网络寿命,而且能够有效降低网络通信时延.
        With the development of marine economy, underwater wireless sensor networks(UWSNs) has been increasingly becoming mainstream. An uneven clustering algorithm based on gradation is proposed to solve the problem of difficult centralized clustering, uneven energy consumption and high-delay with underwater acoustic. Firstly, the cluster head node is sclected by using the threshold function combined with the node average energy and the node density, and the cluster head competition radius function considering the node depth and density, so that the distribution of the cluster head node is more reasonable and even. Then the cluster head grade is divided to balance the load of clusters with different inter-cluster transmission tasks. Finally, aiming to reduce the overall communication energy consumption and delay, inter-cluster multi-hop transmission routing is built combined with the cluster head level and greedy algorithm.Simulation results show that the proposed algorithm can not only balance energy consumption and prolong the network lifetime, but also effectively reduce the network communication delay.
引文
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