BSCP: Buckup Scheduling Mecanism for Coverage Perserving in WSNs

Chenait, Manel; Zebbane, Bahia; Badache, Nadjib; Zeghilet, Houda

doi:10.1109/sensorcomm.2009.78

Cited by 2 publications

(1 citation statement)

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“…The restoration of the coverage area on sensor failure has been considered with reduced energy consumption by scheduling the neighboring sensors (Chenait et al , 2009). They adopted a new recovery mechanism, where every active node selected a subset of its neighbors (backup covers) and scheduled them to wake up periodically based on the nodes capacity to cover larger surface than its neighbors.…”

Section: Related Workmentioning

confidence: 99%

Restoring coverage area for WSN through simulated annealing

Habib

Marimuthu²

2011

International Journal of Pervasive Computing and Communications

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PurposeContinuous exposure and over‐utilization of sensors in harsh environments can lead some sensors to fail, and thereby not covering the service area effectively and efficiently. The purpose of this paper is to propose a two‐level coverage restoration scheme for the failing sensors by the existing sensors deployed in the immediate neighborhood of the failing sensors. The restoration scheme extends the search process to the set of failed sensors' corner neighbors at a second stage, with non‐available immediate active neighboring sensors at its first stage. Thus, the coverage restoration scheme attempts to sustain a maximum area of coverage with failed sensors.Design/methodology/approachThe authors have considered a wireless sensor network (WSN), comprised of sensors deployed in a grid‐based arrangement in an inaccessible arena. The authors have formulated the coverage restoration problem as an optimization problem, to find the nearest and most apt neighbor sensors to reach solutions of maximizing the coverage area with failed sensors, while minimizing the energy consumption. Simulated annealing has been utilized as a search algorithm to find out the neighboring sensors with maximal energy in the vicinity of the failed node to cover its area.FindingsThe experimental results within the optimization algorithm have demonstrated that the restoration scheme shows a better trade‐off in maximizing the coverage area up to 90 per cent with a decrease of 26 per cent lifespan. The performance of the algorithm is further improved with extended search space including the corner neighbors in addition to the immediate neighbors.Practical implicationsThe proposed coverage restoration can be embedded within applications using WSN to restore the coverage and maintain its functionality with optimized energy consumption.Originality/valueThe paper employs a novel framework to restore the coverage of the failed sensors by doubling the sensing area of the neighborhood sensors, and it utilizes an optimization scheme to search for neighborhood sensors with maximal energy to extend the lifespan of WSN.

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Section: Related Workmentioning

confidence: 99%