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A.P. Gnana Prakash
Univewrsity of Mysore, India
Computer Science & IT Electrical & Electronics Engineering

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MeMLO: Mobility-Enabled Multi-Level Optimization Sensor Network M.C. Rajalakshmi; A.P. Gnana Prakash
International Journal of Electrical and Computer Engineering (IJECE) Vol 7, No 1: February 2017
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (553.156 KB) | DOI: 10.11591/ijece.v7i1.pp374-382

Abstract

The paper presents a technique called as Mobility-enabled Multi Level Optimization (MeMLO) that addressing the existing problem of clustering in wireless sensor net-work (WSN). The technique enables selection of aggregator node based on multiple optimi-zation attribute which gives better decision capability to the clustering mechanism by choosing the best aggregator node. The outcome of the study shows MeMLO is highly capable of minimizing the halt time of mobile node that significantly lowers the transmit power of aggregator node. The simulation outcome shows negligible computational com-plexity, faster response time, and highly energy efficient for large scale WSN for longer simulation rounds as compared to conventional LEACH algorithm.
Co-Authors M.C. Rajalakshmi