无线传感器网络的最优地理密度控制算法——阴影衰落环境下的概率覆盖研究  

Algorithm Optimal Geographical Density Control in Wireless Sensor Networks——Research on the coverage in a Shadow Fading Environment

作　　者：刘益[1] 胡楚然[1] 

机构地区：[1]湖南人文科技学院计算机科学技术系,娄底417000

出　　处：《计算机系统应用》2013年第11期154-158,共5页Computer Systems & Applications

摘　　要：信号在传播过程中因障碍物阻挡产生的阴影衰落,使某一事物同时受到多个节点共同的概率感知,对网络的覆盖产生较大的影响.无线传感器网络的最优地理密度控制算法,采用基于协作的概率覆盖感知模型,通过最优地理位置原则选取工作节点,在达到所要求的覆盖质量的同时尽可能减少覆盖面积的重叠,从而使完全覆盖监测区域所需的工作节点数目最少.仿真结果表明,该算法能最大限度地减少完全覆盖监测区域所需的工作节点数目.A shadow fading caused by obstructions in the surroundings of transmitting has an important effect on wireless sensor networks. It makes an object to be probabilistic sensed by more than one node. An optimal geographical density control algorithm in wireless sensor network based on probabilistic was proposed. By choosing the optimal nodes, this algorithm reduced overlapping area that satisfies covered quality as much as possible to minimize working number. The simulation results show that this algorithm can minimize the total number of nodes.

关 键 词：阴影衰落 概率覆盖 协作感知 最优地理密度控制 

分 类 号：TP212.91[自动化与计算机技术—检测技术与自动化装置]