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Connected Coverage Optimization for Sensor Scheduling in Wireless Sensor Networks

Adulyasas, A, Sun, Zhili and Wang, Ning (2015) Connected Coverage Optimization for Sensor Scheduling in Wireless Sensor Networks IEEE Sensors Journal, 15 (7). pp. 3877-3892.

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Abstract

Quality-of-service in terms of network connectivity and sensing coverage is important in wireless sensor networks. Particularly in sensor scheduling, it must be controlled to meet the required quality. In this paper, we present novel methods of the connected coverage optimization for sensor scheduling using a virtual hexagon partition composed of hexagonal cells. We first investigate the optimum number of active sensors to fully cover an individual hexagonal cell. According to the best case, a sensor selection method called the three-symmetrical area method (3-Sym) is then proposed. Furthermore, we optimize the coverage efficiency by reducing the overlapping coverage degree incurred from the 3-Sym method, which is called the symmetrical area optimization method. This considers coverage redundancy within the particular area, namely, sensor's territory. The simulation results show that we achieve not only complete connected coverage over the entire monitored area with the near-ideal number of active sensors but also the minimum overlapping coverage degree in each scheduling round.

Item Type: Article
Divisions : Faculty of Engineering and Physical Sciences > Electronic Engineering
Authors :
NameEmailORCID
Adulyasas, AUNSPECIFIEDUNSPECIFIED
Sun, ZhiliZ.Sun@surrey.ac.ukUNSPECIFIED
Wang, NingN.Wang@surrey.ac.ukUNSPECIFIED
Date : 22 January 2015
Identification Number : 10.1109/JSEN.2015.2395958
Copyright Disclaimer : © 2015 IEEE.
Uncontrolled Keywords : Science & Technology, Technology, Physical Sciences, Engineering, Electrical & Electronic, Instruments & Instrumentation, Physics, Applied, Engineering, Physics, Wireless sensor networks, connectivity, coverage, sensor scheduling, hexagon, overlapping coverage, K-COVERAGE, ALGORITHM
Related URLs :
Depositing User : Symplectic Elements
Date Deposited : 28 Mar 2017 11:00
Last Modified : 25 Sep 2017 07:46
URI: http://epubs.surrey.ac.uk/id/eprint/810785

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