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INTERNATIONAL JOURNAL OF PHARMACEUTICAL RESEARCH

A Step Towards Excellence
Published by : Advanced Scientific Research
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0975-2366
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IJPR 9[3] July - September 2017 Special Issue

July - September 9[3] 2017

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Energy efficient traffic protocol in wireless sensor networks using improved metaheuristic algorithm

Author: C. SIVAKUMAR, DR.P. LATHA PARTHIBAN
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.
Keyword: Energy Efficiency, improved Metaheuristic Algorithm, Wireless Sensor Networks, Ant Colony Optimization
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