摘要
通过建立传感器节点与节点、节点与目标之间的虚拟力模型,制定一种新的簇头选择策略,将节点剩余能量和距离目标的大小作为参数,选择离目标近且剩余能量大的节点作为簇头,提高网络覆盖率;通过虚拟单元格进行分簇,以保持簇头节点之间的数据通信,同时休眠其它非簇头节点的周期性轮换簇头的方式来优化节点能耗,以此来延长网络寿命。与经典GAF算法比较,理论分析和仿真实验结果表明了该算法在网络覆盖率和节点生存时间上均有明显的优势。
First, a new cluster selection strategy by upbuilding virtual force model of sensor node and node, node and target is established, node surplus energy and the distance with target as parameters is taken, elected the nodes which are close to the target and with more surplus energy as cluster head to optimize network coverage; then, clustered by virtual cells to keep the data communication between cluster head nodes and took a periodic rotation cluster head way of sleeping non-cluster nodes to optimize node energy consumption and extend the network li^e. Finally, in comparison with GAF, the theory analysis and simulation experiment results show that the new algorithm has obvious advantage in the network coverage and node survival time.
出处
《计算机工程与设计》
CSCD
北大核心
2012年第3期890-894,共5页
Computer Engineering and Design
