Multi-cluster Fast Information Statistics Algorithm Based on Probability

Abstract

Information collection and target tracking are key technologies for wireless sensor network applications. Signal interference will cause the node to frequently jitter between cluster members and independent nodes. In order to improve the signal transmission efficiency, this study analyzed the current common sensor networks and theoretically analyzed and optimized various parameters. At the same time, based on the behavior characteristics, this paper proposed a mobile phone algorithm for positioning information. In addition, this paper used a probability-based state notification mechanism to perform cluster maintenance. Finally, the experiment was designed to analyze the performance of the proposed algorithm. Research shows that the proposed algorithm has certain effects.