摘要
能量空洞（Energy Hole，EH）现象给传感器网络带来了很大的损害，确定能量空洞的时间与空间演化规律对于无线传感器网络的研究起着重要的支撑作用。采用微分的方法从理论上分析得到了多跳无线传感器网络节点承担的数据量。给出了计算传感器网络能量空洞时间与空间的演化过程的算法。算法第一次较为准确地从时间上给出第一个节点死亡（First Node Died，FND）到全部节点死亡（All Node Died，AND）的演化过程，以及能量空洞在空间上发生，发展的全过程。采用Omnet＋＋平台进行了大量的模拟实验，结果证明了该算法的正确性，从而可为传感器网络的部署、优化、能量空洞避免提供很好的指导作用。
The Energy Hole（EH） problem has brought big damage to Wireless Sensor Networks（WSNs）, and the evolution law of Energy Hole from spatial and temporal plays an important role in WSNs. This paper theoretically obtains nodal data load in multi-hop WSNs through the differential method, and then the algorithm which calculates the evolution of Energy Hole from spatial and temporal is given. The algorithm accurately gives the death evolution from first node to all nodes, as well as the entire evolution of Energy Hole from spatial for the first time. A large number of simulation results based on Omnet＋＋ prove the correctness of the algorithm in this paper, which shows this paper can be a good guide for Energy Hole avoiding, deployment and optimization in sensor networks.
出处
《计算机工程与应用》
CSCD
2013年第15期105-112,共8页
Computer Engineering and Applications
基金
国家科技部科技人员服务企业项目（No.20090628）
绍兴市科技计划项目（No.2012870024）.
关键词
无线传感器网络
能量空洞
网络寿命
负载加速
时空特征
Wireless Sensor Networks （WSN）
Energy Hole （EH）
lifetime
load acceleration
space-time character
