Rotational Wireless Video Sensor Networks with Obstacle Avoidance Capability for Improving Disaster Area Coverage


Nawel Bendimerad, Bouabdellah Kechar, Journal of Information Processing Systems Vol. 11, No. 4, pp. 509-527, Aug. 2015  

10.3745/JIPS.03.0034
Keywords: coverage, Fault Tolerance, Field of View, Obstacles Avoidance, Scheduling, Simulation, Wireless Video Sensor Networks
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Abstract

Wireless Video Sensor Networks (WVSNs) have become a leading solution in many important applications, such as disaster recovery. By using WVSNs in disaster scenarios, the main goal is achieving a successful immediate response including search, location, and rescue operations. The achievement of such an objective in the presence of obstacles and the risk of sensor damage being caused by disasters is a challenging task. In this paper, we propose a fault tolerance model of WVSN for efficient post-disaster management in order to assist rescue and preparedness operations. To get an overview of the monitored area, we used video sensors with a rotation capability that enables them to switch to the best direction for getting better multimedia coverage of the disaster area, while minimizing the effect of occlusions. By constructing different cover sets based on the field of view redundancy, we can provide a robust fault tolerance to the network. We demonstrate by simulating the benefits of our proposal in terms of reliability and high coverage.


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Cite this article
[APA Style]
Nawel Bendimerad and Bouabdellah Kechar (2015). Rotational Wireless Video Sensor Networks with Obstacle Avoidance Capability for Improving Disaster Area Coverage. Journal of Information Processing Systems, 11(4), 509-527. DOI: 10.3745/JIPS.03.0034.

[IEEE Style]
N. Bendimerad and B. Kechar, "Rotational Wireless Video Sensor Networks with Obstacle Avoidance Capability for Improving Disaster Area Coverage," Journal of Information Processing Systems, vol. 11, no. 4, pp. 509-527, 2015. DOI: 10.3745/JIPS.03.0034.

[ACM Style]
Nawel Bendimerad and Bouabdellah Kechar. 2015. Rotational Wireless Video Sensor Networks with Obstacle Avoidance Capability for Improving Disaster Area Coverage. Journal of Information Processing Systems, 11, 4, (2015), 509-527. DOI: 10.3745/JIPS.03.0034.