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Energy efficient traffic protocol in wireless sensor networks using improved metaheuristic algorithm
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| Author:
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C. SIVAKUMAR, DR.P. LATHA PARTHIBAN
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| Abstract:
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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.
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| Keyword:
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Energy Efficiency, improved Metaheuristic Algorithm, Wireless Sensor Networks, Ant Colony Optimization
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| EOI:
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| DOI:
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| Download:
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