### Multi-Node Joint Network Coverage Algorithm Based on Probability Sensing Model

SUN Zeyu1，2, LIU Baoluo1, YAN Ben1

1. 1.School of Computer and Information Engineering, Luoyang Institute of Technology, Luoyang, Henan 471023, China
2.School of Information Engineering, Henan Institute of Science and Technology, Xinxiang, Henan 453003, China
• Online:2019-03-01 Published:2019-03-06

### 基于概率感知模型的多节点联合网络覆盖算法

1. 1.洛阳理工学院 计算机与信息工程学院，河南 洛阳 471023
2.河南科技学院 信息工程学院，河南 新乡 453003

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.