计算机工程与应用2019，Vol.55Issue(5)：36-43,8.DOI:10.3778/j.issn.1002-8331.1812-0025
基于概率感知模型的多节点联合网络覆盖算法
Multi-Node Joint Network Coverage Algorithm Based on Probability Sensing Model
摘要
Abstract
In covering the goal nodes in sensor network, the occurrence of discontinuous coverage leads to the blindness coverage area and the bottleneck of communication link forced by a large number of redundant data. Therefore, this paper proposes a Multi-Node Joint Network Coverage Algorithm(MNJC)based on probability sensing model. First of all, in the light of probability, a method to compute the coverage expected value of the monitoring area is presented to reduce the blindness area and promote the coverage rate of multi-node network. Secondly, deployment of nodes is optimized again by means of the dynamic shift mechanism of nodes to prohibit the rapid consumption of network consumption and prolong the lifetime. Finally, MNJC is compared with the other three algorithms through experiments in regard of coverage rate, lifetime and the number of working nodes. The results show that the performance index is increased by 18.11%, 15.57% and 8. 26% respectively, which verifies the validity and effectiveness of MNJC.关键词
传感网/网络生存周期/网络覆盖率/多节点/联合覆盖Key words
sensor networks/ network lifetime/ network coverage rate/ multi-targets/ joint coverage分类
信息技术与安全科学引用本文复制引用
孙泽宇,刘保罗,阎奔..基于概率感知模型的多节点联合网络覆盖算法[J].计算机工程与应用,2019,55(5):36-43,8.基金项目
国家自然科学基金(No.91338115) （No.91338115）
高等学校学科创新引智基地"111"计划(No.B08038). （No.B08038）
