IJSTR >> Volume 9 - Issue 2, February 2020 Edition

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AUTHOR(S)

Vignesh Ramamoorthy H, Dr. R. Gunavathi

KEYWORDS

Artificial bee colony, particle swarm optimization, AODV, path selection, route discovery and recovery

ABSTRACT

The utilization of wireless sensor applications is increased due to the fast convergence, efficient and easy adaptation. Need of computing technologies to inherit specific tasks are also in demand to achieve. In this concern, the proposed protocol concentrates in achieving efficient routing through a combined ABC-PSO based AODV protocol for WSN. Artificial Bee Colony (ABC) has a strong search ability combined with Particle Swarm Optimization (PSO) to search for the best operators and particle search makes a fastest jump out of local advantages to achieve the better route for the network. ABC algorithm optimization, evolution of subroutine swarms and faster particle selection improves the network performance and more accurate path selection. The simulation results show that the proposed ABC-PSO based AODV protocol achieves efficient route discovery and recovery mechanism for WSN. In addition, the robustness and reliability of the network is improved than the existing schemes.

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