Pareto Multi-objective Termite Colony Optimization Based EDT Clustering for Wireless Chemical Sensor Network

Abstract

WCSN is one of the most important research areas in the terrestrial networking eld due to its wide range of applications. One of the most di cult challenges is expanding the overall running time without attaching any new batteries or hardware. Using a novel method called EDT (Energy, Distance, Time) driven strategy, this paper proposes a clustering algorithm to solve the problems of the hotspot as well as reduce battery energy loss. The CH rotation method was then described in detail. In this paper, will introduce a new function called SCH (Substitute cluster head), which has replaced CH. The main objectives of this research are to improve energy reliability and network lifetime. Finally, the presented EDT approach can be comparable to current algorithms, where LEACH's network lifetime is 15.4 %, DECSA's is 23.2 %, and NEAP's is 11.4 %, but our proposed EDT methodology extends network lifetime by 40% as well as decreases energy usage by 7% as compared to LEACH when determining the SCH.