用于铁路环境监测的无线传感器网络的低时延数据收集算法

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• 英文论文题名：Low-Latency Data Gathering Based on WSNs in Monitoring Environment of Railways
• 论文作者：李健 ; 李建玉 ; 吕晓军 ; 周栋
• 英文论文作者：Li Jian ; Li Jianyu ; Lv Xiaojun ; Zhou Dong ; Institute of Computing Technology ; China Academy of Railway Sciences
• 年：2016
• 作者机构：中国铁道科学研究院电子计算技术研究所;
• 论文关键词：铁路环境监测 ; 无线传感器网络 ; 链路调度 ; 数据收集 ; 能耗均衡 ; 实时性
• 英文论文关键词：Railway Environment Monitoring ; Wireless Sensor Networks ; Link Scheduling ; Data Gathering ; Balanced Energy Consumption ; Real-time
• 会议召开时间：2016-11-16
• 会议录名称：第十一届中国智能交通年会大会论文集
• 语种：中文
• 分类号：TN929.5;TP212.9
• 学会代码：ZJTX
• 会议名称：第十一届中国智能交通年会
• 会议地点：中国重庆
• 主办单位：中国智能交通协会
• 学会名称：中国智能交通协会
• 页数：8
• 文件大小：1253k
• 原文格式：D
• 会议级别：全国

摘要

为了实现对铁路环境监测的有效预警,本文研究了基于无线传感器网络的铁路环境监测的数据收集实时性问题。首先,针对铁路沿线部署的中继节点,我们提出来基于冗余的等间距部署策略来提高中继节点数据转发的有效性并降低了这些节点通信消耗的总能量。其次,结合节点拓扑结构的优化和链路的调度问题,我们设计了一种低时延的数据收集算法(Low-Latency Data Gathering,LLDG),所提算法构建了若干个以汇聚节点为根节点的数据收集树,这些数据收集树可以均衡地分担网络中的流量负载,同时由于节点的不相交性也避免了某些关键节点的故障引起的多个子树的数据收集中断问题。此外,所提算法可以在每个时槽调度最大数目的链路用于数据的传输,从而实现低时延的数据收集。仿真结果表明,我们所设计的LLDG算法相对于一些类似的数据收集算法获得了更好的能耗均衡性和实时性。
In order to achieve the effective early warning of railway environmental monitoring,in this paper,a real-time problem in data collection of railway environmental monitoring based on wireless sensor networks(WSNs) is studied.Firstly,in view of the relay nodes deployed along the railway,a redundant based deployment strategy with the identical distance between adjacent relay nodes is proposed to improve the effectiveness of the data forwarding of relay nodes and reduce the total energy consumption used for communication.Secondly,a Low-Latency Data Gathering(LLDG) combined with the network topology optimization and link scheduling problem is designed.The LLDG algorithm constructs several data gathering trees,in which the sink nodes are regarded as the root nodes.The data gathering trees can balance the network traffic load,and avoid the data collection disruption problem caused by the failure of some key nodes at the same time due to the node disjoint of the data gathering trees.In addition,the LLDG algorithm can maximize the communication links for data forwarding under a time slot to reduce the low-latency of data collection.Simulation results show that the LLDG algorithm can achieve more balanced energy consumption and better real-time performance against to other similar algorithms.

引文

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