Design and Improvement of Optimal Control Model for Wireless Sensor Network Nodes

Abstract

Sensor network coverage is one of the basic problems in the Internet of Things. Coverage is one of the important indicators to measure the performance of sensor network nodes. Through the research on coverage problems, we can seek ways to improve the quality of sensor network services. A wireless sensor network node control effect is proposed. A distributed algorithm based on probability model is first constructed to optimize the probability perception algorithm. The above-mentioned two-dimensional space algorithm is extended to three-dimensional space, and the greedy heuristic algorithm is used to obtain the control solution to achieve the optimal control of the current wireless sensor network. In addition, the matlab simulation program is written, and the algorithm is compared with the simulation results of the average algorithm and the random algorithm. The simulation results of the proposed algorithm have significant advantages.