摘要
冗余控制是WSN(无线传感器网络)的重要问题。冗余控制可以有效地提高WSN的效率和延长其生存时间。论文提出一种概率估计的冗余控制算法(PERCA)。PERCA算法根据邻居节点的个数和信号强弱,采用概率的方法来估计每个节点覆盖区域被其他节点覆盖的比例,并通过相互比较使尽量多的节点休眠。仿真实验结果表明,该算法能够以较少的前提条件和较小的计算复杂度有效灵活地控制WSN的冗余程度。
Redundant control is an important problem in wireless sensor network. Redundant control can effectively improve the effi- ciency of WSN and prolong its lifetime. A probabilistic estimation redundant control algorithm（PERCA） is proposed. According to the num- ber of neighbor nodes and their signal strength, PERCA uses a probabilistic method to estimate the portion that the coverage of each node covered by other nodes, and allow nodes as many as possible to sleep by comparing to each other. The simulation results show that, with less precondition and lower computational complexity, the algorithm can control the redundant degree dfectively and flexibly.
出处
《计算机与数字工程》
2013年第6期866-869,954,共5页
Computer & Digital Engineering
基金
基于无线自组网的应急通信关键技术问题研究(编号:61072043)资助
关键词
无线传感器网络
冗余控制
概率估计
随机均匀分布
wireless sensor network
redundant control
probabilistic estimation
random uniform distribution
