基于概率感知模型的边界区域分布式多重覆盖算法研究  

Distributed Multiple Coverage Study Against Boundary Region Based on Probability Perceptual Model

作　　者：衣晓[1] 薛兴亮[1,2] 高玉章[1,3] 

机构地区：[1]海军航空工程学院信息融合技术研究所 [2]92768部队 [3]海军航空工程学院青岛校区

出　　处：《传感技术学报》2013年第11期1579-1583,共5页Chinese Journal of Sensors and Actuators

基　　金：山东省自然科学基金项目(ZR2011FQ002);海军航空工程学院研究生创新基金项目

摘　　要：在无线传感器网络监视预警应用中,"边界"的地位突出而重要。为了提高边界区域内的监测概率,研究了节点为概率感知模型条件下的分布式多重覆盖算法。根据传感器节点感知圆盘的相互关系,将整个边界区域划分为不可再分割的可数个最小区域块,然后利用改进的贪婪式算法对整个边界区域进行分布式多重覆盖算法研究,最终通过仿真比较,验证了非理想状况下对边界区域实行多重覆盖可在保证能效的前提下有效提高边界覆盖率。Boundary occupies an important and outstanding place in wireless sensor network monitoring and warning application. In order to improve the detection probability, distributed multiple coverage algorithm is discussed under the condition of probability perceptual node model. The entire boundary region can be divided into countable smallest regional block based on the relationship between the node sensing disc. Then this article carries out a distributed multiple coverage study to this boundary region by using an improved greedy algorithm. At last, in non ideal conditions, by means of simulation results, the article verifies that multiple coverage of the boundary region can improve the coverage probability in the premise of energy efficiency.

关 键 词：无线传感器网络 边界区域覆盖 分布式算法 概率感知模型 多重覆盖 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]