RESEARCH ON THE APPLICATION OF FUZZY LOGIC COMBINED WITH IoT INTO WSN SENSOR NETWORK

Abstract

In this paper, we propose an adaptive dynamic clustering algorithm PMACME for data transmission based on the priority MAC (Media Access Control) protocol PMME (Priority MAC protocol for MultiEvent Wireless Sensor Network) to reduce the risk of collision and delay of packets, route data and form dynamic clusters in WSN (Wireless Sensor Network) using Fuzzy Logic combined with IoTs (Internet of Things). The dynamic clustering algorithm PMACME has the ability to expand the cluster. Determine the selected cluster heads (CH) and the distance between nodes in the cluster is maintained to transmit maximum data without affecting the network parameters. The combination of Fuzzy Logic with IoTs optimizes the selection of cluster heads (CH), determines the cluster size and improves energy efficiency. Simulation results demonstrate that PMACME is superior in balancing energy consumption and improving network lifetime compared to current routing algorithms