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无线传感网优化生存时间的分布式功率控制
引用本文:陈友荣,刘半藤,程菊花,俞 立.无线传感网优化生存时间的分布式功率控制[J].传感技术学报,2011,24(12):1787-1793.
作者姓名:陈友荣  刘半藤  程菊花  俞 立
作者单位:浙江树人大学信息科技学院;浙江工业大学信息工程学院
基金项目:浙江省教育厅项目(Y201018705);浙江树人大学校项目(2011A11004)
摘    要:为延长无线传感网的生存时间,提出优化生存时间的分布式功率控制算法(DPCOL).该算法分析节点发送功率变化下的链路流量平衡约束,链路最大传输速率约束,节点能耗约束等条件,建立最大化生存时间的网络模型.采用分布式功率迭代和次梯度算法求解该模型.节点获知与各邻居节点通信所需要的最低发送功率集,随机选择发送功率集中的功率作为...

关 键 词:无线传感网  优化生存时间  功率控制  次梯度

Distributed Power Control for Optimizing Lifetime in Wireless Sensor Networks
CHEN Yourong,LIU Banteng,CHENG Juhua,YU Li.Distributed Power Control for Optimizing Lifetime in Wireless Sensor Networks[J].Journal of Transduction Technology,2011,24(12):1787-1793.
Authors:CHEN Yourong  LIU Banteng  CHENG Juhua  YU Li
Affiliation:1.College of Information Science and Technology,Zhejiang Shuren University,Hangzhou 310015,China;2.College of Information Engineering,Zhejiang University of Technology,Hangzhou 310032,China
Abstract:To prolong the lifetime in wireless sensor networks,distributed power control algorithm for optimizing lifetime(DPCOL)is proposed.The algorithm analyzes the conditions such as link flow balance constraint,link constraint for maximum transmission rate and node energy constraint when node transmission power changes.It establishes the maximum network lifetime module.To solve the model,distributed power iterations and subgradient algorithm are used.Nodes obtain the minimum transmission power set needed to communicate with neighbors,randomly select the current transmission power from the set,receive the parameter information of neighbor nodes,and distributed compute node lifetime with subgradient algorithm.After a certain time of iterations,DPCOL can obtain the local optimal network lifetime,local optimal transmission power of each node and current data forwarding probability.Simulation results show that the algorithm can balance node energy consumption and the number of neighbor nodes,and prolong the network lifetime.Under certain conditions,DPCOL algorithm outperforms the algorithm which uses fixed transmission power.
Keywords:wireless sensor networks  optimizing network lifetime  power control  subgradient
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