Parallel circle-cover algorithms
Information Processing Letters
An optimal parallel algorithm for the minimum circle-cover problem
Information Processing Letters
Parallel algorithms on circular-arc graphs
Computational Geometry: Theory and Applications
Connecting the Physical World with Pervasive Networks
IEEE Pervasive Computing
The coverage problem in a wireless sensor network
WSNA '03 Proceedings of the 2nd ACM international conference on Wireless sensor networks and applications
Maximum Lifetime of Sensor Networks with Adjustable Sensing Range
SNPD-SAWN '06 Proceedings of the Seventh ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing
The coverage problem in a wireless sensor network
Mobile Networks and Applications
A survey on wireless multimedia sensor networks
Computer Networks: The International Journal of Computer and Telecommunications Networking
Energy Efficient Coverage with Variable Sensing Radii in Wireless Sensor Networks
WIMOB '07 Proceedings of the Third IEEE International Conference on Wireless and Mobile Computing, Networking and Communications
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
EURASIP Journal on Wireless Communications and Networking - Special issue on theoretical and algorithmic foundations of wireless ad hoc and sensor networks
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Many sensor network applications require the tracking and the surveillance of target objects. However, it is generally assumed that the whole target object can be monitored by a sensor in case the target falls within its sensing range. Unfortunately, this assumption may not be realistic in case the target object is a large one, and each sensor can only monitored a certain portion of the perimeter of the target object. The coverage problem which aims at monitoring the whole perimeter of the target object is known as perimeter coverage problem. Previously, we have developed distributed algorithms to find the minimum set of sensors and the set of sensors with the minimum cost to monitor the target. Unfortunately, no known polynomial time optimal solution exists in a practical scenario. Hence, our previously proposed algorithms failed to find the optimal solutions anymore. In this paper, we show that by modifying our previously proposed algorithms, approximation solutions to these problems are found.