Designing k-coverage schedules in wireless sensor networks
Yingshu Li () and
Shan Gao ()
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Yingshu Li: Georgia State University
Shan Gao: Georgia State University
Journal of Combinatorial Optimization, 2008, vol. 15, issue 2, No 1, 127-146
Abstract:
Abstract Some sensor network applications require k-coverage to ensure the quality of surveillance. Meanwhile, energy is another primary concern for sensor networks. In this paper, we investigate the Sensor Scheduling for k-Coverage (SSC) problem which requires to efficiently schedule the sensors, such that the monitored area can be k-covered throughout the whole network lifetime with the purpose of maximizing network lifetime. The SSC problem is NP-hard and we propose two heuristic algorithms under different scenarios. In addition, we develop a guideline for users to better design a sensor deployment plan to save energy by employing a density control scheme. Simulation results are presented to evaluate our proposed algorithms.
Keywords: Wireless sensor networks; k-coverage; Sensing range; Network management (search for similar items in EconPapers)
Date: 2008
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Citations: View citations in EconPapers (1)
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DOI: 10.1007/s10878-007-9072-6
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