Fuzzy Based Distributed Energy Efficient Clustering Protocol
Abstract
The clustering-based methods have been created with a concern for increasing the energy effectiveness of the Wireless Sensor Networks. As an enhancement over the DEEC protocol, a novel algorithm based on Fuzzy logic was suggested. The DEEC protocol utilizes two distinct types of heterogeneous nodes and advances with diverse energies that have been impregnated in the protocol in question. The remaining power and node distance from the base station are taken as the two inputs to create the fuzzy rule base to discover the optimum cluster head selection likelihood. The findings were compared with the current protocols and appear to demonstrate better outcomes in terms of lifetime of the network, number of live nodes and amount of dead nodes up to about 5000 rounds. This has enhanced the efficiency of the protocol by adding fuzzy logic methods to the current DEEC protocol.