Hybrid [ACPSO] Integration Approach based on Particle Swarm Optimization and Ant Colony Optimization to Improve Lifetime of Wireless Sensor Network
Apurva Rushikesh Saoji, Giduturi Srinivasa Rao · 2021 Asian Conference on Innovation in Technology (ASIANCON) · 2021
[ACPSO] is integration approach of traditional particle Swarm Optimization with ant Colony Optimization. We also developed new sink mobility algorithm to reduce the lifetime of the network efficiently. Particle Swarm Optimization has gone through many research paradigms as it is older Optimization technique. Many of the variants are proposed for particle Swarm Optimization to optimize it in a better way. We analyses integration algorithm [ACPSO] with different parameters and background. The analysis is displayed which shows betterment in energy optimization of the network. Further future enhancement and scope of extended work is written. Analysis prove that this integration algorithm along with sink mobility effective in optimization of energy in wireless sensor network. The main objective of this paper is to use both methods to minimize the limitations and maximize the advantages of particle Swarm Optimization and ant Colony Optimization.