A Low Power Boundary Nodes Detection Algorithm for Wireless Sensor Networks (WSNs).
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Date
2019
Authors
Lhwani, Ahmad
Alawneh, Aws
Mosallam, Abed-Alrhman
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Abstract
Boundary nodes in a Wireless Sensor Network (WSN) are highly es-
sential due to the critical functions in which they involve. Therefore,
several algorithms have been proposed in the literature to detect
boundary nodes. However, due to the limited power budget in the
battery of sensor nodes, there is a need to develop distributed algo-
rithms that detect boundary nodes in such ad-hoc networks with
low power consumption. In this work, we propose an enhancement
for a recently published algorithm for boundary nodes detection,
namely Distributed Least Polar-Angle Connected Node (DLPCN),
through minimizing the communication overhead. Experimental
results have shown around 28% power reduction, with preserving
the great accuracy obtained by DLPCN algorithm.