Data Fusion Optimization Analysis of Wireless Sensor Networks Based on Joint DS Evidence Theory and Matrix Analysis
Zixian Zhang · 2019 4th International Conference on Mechanical, Control and Computer Engineering (ICMCCE) · 2019
In view of the energy Limitation and data redundancy of wireless sensor networks (WSN), in order to better coordinate WSN computing resources and make rational use of its energy, this paper uses DS evidence theory and matrix analysis to jointly improve WSN consumption and efficient use of redundant data. On the one hand, the DS evidence theory is used to fuse redundant data of WSN; on the other hand, with the idea of matrix analysis, the process of DS evidence theory fusion is accelerated. Simulation experiments show that this joint mode not only improves the energy utilization of WSN, but also optimizes the transmission data quality of WSN.