Volume 11 - Volume 11
Comparison of Fuzzy-based Cluster Head Selection Algorithm with LEACH Algorithm in Wireless Sensor Networks to Maximize Network Lifetime
Abstract
Aim: To maximize the network lifetime using Fuzzy Based cluster head selection algorithm in comparison with LEACH algorithm. Materials and methods: Network Lifetime is computed with a dataset sample of size 40. The classification of nodes is performed by the Fuzzy algorithm of sample
size (N=20), and the LEACH algorithm of sample size (N=20) with 100 nodes. Result and Discussion: The network lifetime of fuzzy algorithm is 81.76% when compared to LEACH algorithm with 72.64%. Significant difference in network lifetime (P=0.001) for fuzzy based cluster algorithm and (P=0.001) for LEACH algorithm. Conclusion: Within the limits of the study, Fuzzy algorithm performs better than LEACH algorithm in case of network lifetime.
Paper Details
PaperID: 2186
Author's Name: K.P. Aravinth and T. Devi
Volume: Volume 11
Issues: Volume 11
Keywords: Base Station, Cluster Head, Fuzzy Based Cluster Head Selection Algorithm, LEACH Algorithm, Novel Cluster Head Communication, Network Lifetime, Nodes, Wireless Sensor Network.
Year: 2021
Month: June
Pages: 1277-1288