Fuzzy-Based DBSCAN Algorithm to Elect Master Cluster Head and Enhance the Network Lifetime and Avoid Redundancy in Wireless Sensor Network

The sensor nodes are distributed over the specific geographical region within the wireless sensor network. Since nodes are randomly deployed, network could have low as well as densely deployed network areas. The DBSCAN algorithm is used to separate the high- and low-density areas. The entire network is separated into four grids; from each grid, a master cluster head was selected, and only that master cluster head is allowed to communicate sensed information to the sink. The main goal of this algorithm was to prevent the redundancy along with enhanced network’s lifetime and improved stability period. It has been seen through the simulation that the proposed algorithm has extended network lifespan and prolonged stability period as compared to LEACH and IC-ACO in densely deployed network.