Energy Efficient Traffic Protocol in Wireless Sensor Networks Using Improved Metaheuristic Algorithm

Abstract

This paper proposes an improved Ant Colony Optimization [iACO] algorithm with improved search patterns using
Fractional Brownian Motion for improving the exploitation capability. To improve the global convergence and to increase
the energy efficiency using proposed iACO, Fractional Brownian Motion is used. This maintains a proper balance between
the exploitation and exploration abilities using this motion and this limits the hardware requirement of routing.
Additionally, the energy efficiency of the clustering protocol using iACO algorithm inherits the capabilities of attaining the
optimal cluster head [CH] selection and further improves the energy efficiency. The results obtained through the simulator
proves that the proposed iACO protocol performs well than the other known protocols in terms of its throughput, packet
delivery ratio, and energy consumption.