Congestion control method for Clustered Sensor Networks Based on T-S fuzzy model

The many to one communication mode of clustered sensor network is prone to information transmission interference, which leads to network data transmission congestion, resulting in frequent network dynamic changes and resource constraints. In order to solve the above problems, this paper proposes a congestion control method based on T-S fuzzy model for Clustered Sensor Network, so as to achieve reasonable control and processing of massive data in the congested network environment.Based on the analysis of the characteristics of clustering sensor networks, this paper describes the strategies of congestion detection and congestion avoidance, and focuses on the introduction and analysis of typical congestion relief algorithms based on rate control, traffic scheduling and transmission scheduling. Finally, the development trend of congestion control technology is prospected. Experiments show that clustering based on T-S fuzzy model is feasible The congestion control method of sensor network has high control effect in the practical application process, and fully meets the research requirements.