MeMLO: Mobility-Enabled Multi-level Optimization Sensor Network

MeMLO: Mobility-Enabled Multi-level Optimization Sensor Network 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 optimization 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 complexity, faster response time, and highly energy efficient for large scale WSN for longer simulation rounds as compared to conventional LEACH algorithm. Wireless Personal Communications Springer Journals

MeMLO: Mobility-Enabled Multi-level Optimization Sensor Network

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Springer US
Copyright © 2017 by Springer Science+Business Media, LLC
Engineering; Communications Engineering, Networks; Signal,Image and Speech Processing; Computer Communication Networks
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