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无线传感器网络的链路稳定成簇与功率控制算法
引用本文:李方敏,刘新华,徐文君,韩屏.无线传感器网络的链路稳定成簇与功率控制算法[J].计算机学报,2008,31(6):968-978.
作者姓名:李方敏  刘新华  徐文君  韩屏
作者单位:武汉理工大学信息工程学院&宽带无线通信与传感器网络湖北省重点实验室,武汉,430070
基金项目:国家自然科学基金 , 新世纪优秀人才支持计划 , 教育部科学技术研究项目 , 湖北省国际合作项目
摘    要:在能量有限条件下通过降低能耗来延长网络生存时间是无线传感器网络面临的重要挑战之一。在层次体系结构中,MAC层和网络层的能耗是影响系统能量有效性的关键,因此可以将这两层结合起来考虑,从网络跨层优化的角度来分析其能耗。针对现有典型成簇算法理论前提条件多、无法适应网络动态变化、不易在实际环境中实现的不足,结合功率控制理论及算法,基于跨层优化的策略提出了一种易于实现、能动态适应网络变化、能量有效的链路稳定成簇算法。该算法能在降低能耗的同时扩大网络的吞吐量。实验仿真结果表明,与现有的几种典型方案相比,新算法在保证网络稳定性的同时使网络具有了更大的有效吞吐量及更长的生存时间。

关 键 词:无线传感器网络  成簇算法  功率控制  跨层优化
修稿时间:2007年1月22日

Link-Stable Clustering and Power Control for Wireless Sensor Networks
LI Fang-Min,LIU Xin-Hua,XU Wen-Jun,HAN Ping.Link-Stable Clustering and Power Control for Wireless Sensor Networks[J].Chinese Journal of Computers,2008,31(6):968-978.
Authors:LI Fang-Min  LIU Xin-Hua  XU Wen-Jun  HAN Ping
Abstract:Reducing power consumption to extend network lifetime with limited energy resource is one of the most important challenges in wireless sensor networks.A cross-layer strategy that considers MAC layer and network layer jointly should be adopt to improve the performance of the network due to the fact that both the layers have an great effect on the energy-efficient capability of wireless sensor networks.Aiming at the disadvantages that the traditional clustering algorithms can not suit to dynamic network environments and it is hard for people to apply those algorithms in reality,a link-stable clustering algorithm(LSC) which is simple,dynamic and energy-efficient for wireless sensor networks is proposed based on cross-layer improving strategy in this paper.The algorithm can expand the network throughput and reduce the power consumption.The experimental results demonstrate that the novel cross-layer improving protocol which use clustering and power control scheme can provide longer lifetime and higher throughput than the current important protocols while keeping the network stably.
Keywords:wireless sensor networks  clustering algorithm  power control  cross-layer improving
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