期刊论文

A Coverage Hole Detection Algorithm in Wireless Sensor Networks Based on the Confident Information Coverage Model

中文

南华大学学报(自然科学版)

1673-0062

2017

31

1

32-38

10.19431/j.cnki.1673-0062.2017.01.007

61401193:国家自然科学基金 14C0970:湖南省教育厅项目 15C1195:湖南省教育厅项目 2014XQD31:南华大学博士科研启动基金 CX2016B444:湖南省研究生科研创新项目

本校为第一机构

针对静止无线传感器网络运行过程中的覆盖空洞问题,研究并设计了一种基于可信信息覆盖模型的覆盖空洞检测策略.该策略挖掘和利用感测环境变量的空间相关性,通过栅格化将感测区域划分为多个方格,采用贪婪式策略对方格逐个计算其可信信息覆盖度,将其与可信信息覆盖阈值进行比较,进而判断可信信息覆盖空洞的数目和位置,最大可能地检测出所有可信信息覆盖空洞,并利用图像处理方法提取空洞边界.仿真实验结果表明所设计策略可有效确定可信信息覆盖空洞数目和边界信息.

Coverage hole in wireless sensor networks may greatly reduce the network per- formance.Based on the proposed confident information coverage model, a greedy confident information coverage hole detection algorithm is designed. The algorithm firstly makes full use of the spatial correlation of the monitoring environmental attributes and divides the mo- nitoring area into a series of grids. By greedily calculating the root mean square error of each grid ,which is the measure of the confident information coverage, and comparing the calculated value ...