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

Wireless Chemical Sensor Network (WSCN) is one of the significant research areas in terrestrial networking due to their versatility. Expanding the overall runtime without adding additional batteries or hardware is one of the most challenging tasks. To overcome this challenge a novel Pareto Multi-objective Termite Colony Optimization-based EDT (Energy, Distance, Time) clustering technique, has been proposed in this research. Initially, Pareto multi-objective optimization strategy is used in the termite colony optimization technique to address WCSN routing's resource constraints and security concerns. In addition, a function called Substitute Cluster Head (SCH) is utilized, which replaces the current Cluster Head and the rotating system was proposed to reduce the energy loss during the CH rotation. Improving energy reliability and network lifetime are the main aspects of this research. The effectiveness of the proposed strategy is examined using the parameters, such as lifetime of the network, energy consumption, load balancing, and Throughput. The existing technique attains the network lifetime of 12.4% of LEACH, 15.4% of Genetic Algorithm, and 23.37% of EE-LEACH, but our suggested PMTCO-based EDT Clustering extends network lifetime by 41.2% and decreases energy usage by 7% when determining the SCH.