Parallel circle-cover algorithms
Information Processing Letters
An optimal parallel algorithm for the minimum circle-cover problem
Information Processing Letters
Connecting the Physical World with Pervasive Networks
IEEE Pervasive Computing
Connected sensor cover: self-organization of sensor networks for efficient query execution
Proceedings of the 4th ACM international symposium on Mobile ad hoc networking & computing
The coverage problem in a wireless sensor network
WSNA '03 Proceedings of the 2nd ACM international conference on Wireless sensor networks and applications
Energy Efficient Fractional Coverage Schemes for Low Cost Wireless Sensor Networks
ICDCSW '06 Proceedings of the 26th IEEE International ConferenceWorkshops on Distributed Computing Systems
The coverage problem in a wireless sensor network
Mobile Networks and Applications
Boundary coverage and coverage boundary problems in wireless sensor networks
International Journal of Sensor Networks
Improving network lifetime using sensors with adjustable sensing ranges
International Journal of Sensor Networks
Wireless sensor networks scheduling for full angle coverage
Multidimensional Systems and Signal Processing
On perimeter coverage in wireless sensor networks with minimum cost
International Journal of Sensor Networks
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Many sensor network applications require the tracking and the surveillance of target objects. However, in current research, many studies have assumed that a target object can be sufficiently monitored by a single sensor. This assumption is invalid in some situations, especially, when the target object is so large that a single sensor can only monitor a certain portion of it. In this case, several sensors are required to ensure a 360° coverage of the target. To minimize the amount of energy required to cover the target, the minimum set of sensors should be identified. Centralized algorithms are not suitable for sensor applications. In this paper, we describe our novel distributed algorithm for finding the minimum cover. Our algorithm requires fewer messages than earlier mechanisms and we provide a formal proof of correctness and time of convergence. We further demonstrate our performance improvement through extensive simulations.