西安电子科技大学学报

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一种能量有效的分布式传感器管理算法

方德亮;冉晓旻;李鸥   

  1. (信息工程大学 信息系统工程学院,河南 郑州 450001)
  • 收稿日期:2016-06-28 出版日期:2017-04-20 发布日期:2017-05-26
  • 作者简介:方德亮(1990-),男,信息工程大学硕士研究生,E-mail:709811670@qq.com
  • 基金资助:

    国家科技重大专项资助项目(2014ZX03006003)

Energy efficient distributed sensor management algorithm

FANG Deliang;RAN Xiaomin;LI Ou   

  1. (Institute of Information System Engineering, Information Engineering Univ., Zhengzhou 450001, China)
  • Received:2016-06-28 Online:2017-04-20 Published:2017-05-26

摘要:

针对无线传感器网络多目标跟踪传感器分配问题,考虑节点能量受限,提出一种保证跟踪精度、高效节能的分布式传感器管理算法.算法基于目标预测位置,以观测前后的信息增益为准则,建立了传感器管理优化模型,利用拍卖理论对传感器的价格进行调整,达到市场平衡时,完成目标传感器的分配问题.为缩短决策时间,减少节点通信能耗,引入了载波侦听多路访问机制并利用本地局部信息进行决策.给出了算法收敛性和有效性证明.仿真结果表明,该算法能有效应对多目标跟踪问题,在保证跟踪精度的同时,能有效减少通信能耗,延长网络生命周期,对能量受限的无线传感器网络有较强的适应性.

关键词: 无线传感器网络, 传感器选择, 目标跟踪, 分布式优化

Abstract:

Considering the limitation of energy in wireless sensor networks(WSN),a distributed sensor management algorithm is proposed for multi-target tracking with high accuracy and efficient energy conservation. The predicted coordinate of the target and information gain are used to establish the optimization model. The method introduces the auction theory and adjusts the price of the sensor resources, and once the balance of the market is reached,the target-sensor assignment problem is solved. In order to shorten the decision-making time and save the energy consumption,the carrier sense multiple access(CSMA) mechanism is introduced and the decision-making can be completed with local information and a few iterations. The convergence and effectiveness of the algorithm are proved,and simulation results show that the algorithm can effectively deal with multi-target tracking problem,guarantee the tracking performance and save the energy to prolong the network lifetime. So the proposed algorithm has a strong adaptability for the energy constrained WSN.

Key words: wireless sensor networks, sensor selection, target tracking, distributed optimization