摘要
针对异类传感器网络提出了一种基于最短路径的分布式拓扑控制(SPDTC)算法。该算法利用网络中所有节点的局部信息保持网络的连通性,同时,利用最短路径算法计算链接权值的大小来进行拓扑结构的调整。将该算法与DRNG算法的节点度和平均链接长度进行仿真分析,仿真结果表明:该算法能更有效降低干扰,节省网络能量,提高了网络的性能。
The shortest-path-based distributed topology control(SPDTC) algorithm is presented for heterogeneous wireless sensor networks. The algorithm maintains network connectivity only based on locally collected information and adjusts the topology structure according to the shortest-path algorithm by calculating the link weight. Simulation results show that SPDTC algorithm can efficiently reduce interference, save network energy and improve the network performance when compared with DRNG algorithm in the average node degree and link length.
出处
《传感器与微系统》
CSCD
北大核心
2009年第6期18-21,共4页
Transducer and Microsystem Technologies
基金
国家自然科学基金资助项目(607710287)
湖南省科技计划资助项目(2006ZK3108)
关键词
异类无线传感器网络
最短路径算法
拓扑控制
heterogeneous wireless sensor networks
shortest-path algorithm
topology control