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PROJECT TITLE :

An Energy-Balanced Heuristic for Mobile Sink Scheduling in Hybrid WSNs - 2016

ABSTRACT:

Wireless sensor networks (WSNs) are integrated as a pillar of collaborative Internet of Things (IoT) technologies for the creation of pervasive sensible environments. Typically, IoT finish nodes (or WSN sensors) can be mobile or static. In this kind of hybrid WSNs, mobile sinks move to predetermined sink locations to assemble knowledge sensed by static sensors. Scheduling mobile sinks energy-efficiently while prolonging the network lifetime may be a challenge. To remedy this issue, we propose a 3-section energy-balanced heuristic. Specifically, the network region is 1st divided into grid cells with the identical geographical size. These grid cells are assigned to clusters through an algorithm impressed by the k-dimensional tree algorithm, such that the energy consumption of every cluster is similar when gathering information. These clusters are adjusted by (de)allocating grid cells contained in these clusters, while considering the energy consumption of sink movement. Consequently, the energy to be consumed in every cluster is approximately balanced considering the energy consumption of each knowledge gathering and sink movement. Experimental evaluation shows that this system can generate an optimal grid cell division inside a restricted time of iterations and prolong the network lifetime.


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Wireless Sensor Networks Internet Of Things Mobile Communication Scheduling Energy-Balanced Heuristics Mobile Sinks Grid Cell Hybrid Wireless Sensor Networks
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