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Energy-Efficient Algorithm for the Target Q-coverage Problem in Wireless Sensor Networks

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Wireless Algorithms, Systems, and Applications (WASA 2010)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 6221))

Abstract

In this paper we study the target Q-coverage (TQC) problem where each target needs to be covered by different numbers of sensors. We try to find a collection of Q-covsets which satisfy the coverage quality requirement to maximize the network lifetime. We first prove that the problem is NP-Hard. Then we design a greedy algorithm to efficiently compute the Q-covsets. Finally, simulation results are presented to verify our approach.

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References

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Author information

Authors and Affiliations

  1. Key Laboratory of Data Engineering and Knowledge Engineering, MOE, School of Information, Renmin University of China, China

    Hui Liu, Wenping Chen, Huan Ma & Deying Li

Authors
  1. Hui Liu
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  2. Wenping Chen
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  3. Huan Ma
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  4. Deying Li
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Editor information

Editors and Affiliations

  1. Nanyang Technological University, Singapore

    Gopal Pandurangan

  2. Virginia Tech, Blacksburg, VA, USA

    V. S. Anil Kumar

  3. School of Software, Tsinghua University, 100084, Beijing, China

    Gu Ming

  4. Dept. of Computer Science, Hong Kong Univ. of Science and Technology, Kowloon, Hong Kong

    Yunhao Liu

  5. Department of Computer Science, Georgia State University, 34 Peachtree Street, Suite 1413, 30303, Atlanta, GA, USA

    Yingshu Li

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© 2010 Springer-Verlag Berlin Heidelberg

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Liu, H., Chen, W., Ma, H., Li, D. (2010). Energy-Efficient Algorithm for the Target Q-coverage Problem in Wireless Sensor Networks. In: Pandurangan, G., Anil Kumar, V.S., Ming, G., Liu, Y., Li, Y. (eds) Wireless Algorithms, Systems, and Applications. WASA 2010. Lecture Notes in Computer Science, vol 6221. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14654-1_3

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  • DOI: https://doi.org/10.1007/978-3-642-14654-1_3

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-14653-4

  • Online ISBN: 978-3-642-14654-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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