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Q-Coverage Problem in Wireless Sensor Networks

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Distributed Computing and Networking (ICDCN 2009)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 5408))

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Abstract

The target coverage problem in wireless sensor networks is concerned with maximizing the lifetime of the network while continuously monitoring a set of targets. We add a QoS requirement to the target coverage such that the targets are covered by more than one sensor at any time. Given an integer vector Q, where q i is the minimum number of sensors to simultaneously cover targets i, the problem becomes Q-coverage problem. In this paper, we study the target Q-coverage problem. The objective is to maximize sensor network lifetime satisfying Q-coverage requirement. The problem is shown to be NP-complete and there is no known practical algorithm. We propose a heuristic and show that the proposed algorithm yields solution very near to the optimal solution. Our algorithm has two important features. It uses a greedy heuristic to generate Q-covers by prioritizing sensors in terms of the residual battery life and the algorithm assigns a small constant of lifetime to Q-covers so generated. In this process, it allows the sensors to participate in many Q-covers. We observe that the smaller the constant, the closer is the solution to optimal solution. Through experiments on randomly generated problem instances, we show that the proposed algorithm yields near-optimal solution.

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References

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© 2008 Springer-Verlag Berlin Heidelberg

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Chaudhary, M., Pujari, A.K. (2008). Q-Coverage Problem in Wireless Sensor Networks. In: Garg, V., Wattenhofer, R., Kothapalli, K. (eds) Distributed Computing and Networking. ICDCN 2009. Lecture Notes in Computer Science, vol 5408. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-92295-7_39

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  • DOI: https://doi.org/10.1007/978-3-540-92295-7_39

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-92294-0

  • Online ISBN: 978-3-540-92295-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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