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ABSTRACT
One fundamental issue in sensor networks is the coverage problem, which reflects how well a sensor network is monitored or tracked by sensors. In this paper, we formulate this problem as a decision problem, whose goal is to determine whether every point in the service area of the sensor network is covered by at least k sensors, where k is a predefined value. The sensing ranges of sensors can be unit disks or non-unit disks. We present polynomial-time algorithms, in terms of the number of sensors, that can be easily translated to distributed protocols. The result is a generalization of some earlier results where only k=1 is assumed. Applications of the result include: (i) positioning applications, (ii) situations which require stronger environmental monitoring capability, and (iii) scenarios which impose more stringent fault-tolerant capability.
REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
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CITED BY 74
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Aman Kansal , Eric Yuen , William J. Kaiser , Gregory J. Pottie , Mani B. Srivastava, Sensing uncertainty reduction using low complexity actuation, Proceedings of the third international symposium on Information processing in sensor networks, April 26-27, 2004, Berkeley, California, USA
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Wei Wang , Vikram Srinivasan , Bang Wang , Kee-Chaing Chua, Coverage for target localization in wireless sensor networks, Proceedings of the fifth international conference on Information processing in sensor networks, April 19-21, 2006, Nashville, Tennessee, USA
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S. Ali Raza Zaidi , Maryam Hafeez , D. C. McLernon , M. Ghogho, A probabilistic model of k-coverage in minimum cost wireless sensor networks, Proceedings of the 2008 ACM CoNEXT Conference, p.1-2, December 09-12, 2008, Madrid, Spain
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Kenji Leibnitz , Indika Suranjith Abeyweera , Naoki Wakamiya , Masayuki Murata, A heuristic approach for K-coverage extension with energy-efficient sleep scheduling in sensor networks, Proceedings of the 3rd International Conference on Bio-Inspired Models of Network, Information and Computing Sytems, November 25-28, 2008, Hyogo, Japan
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