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Minimum Energy Cost k-barrier Coverage 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

Barrier coverage problem is one of important issues in wireless sensor networks. In this paper we study the minimum energy cost k-barrier coverage problem in wireless sensor network in which each sensor has l + 1 sensing power levels. First, we transform the minimum energy cost k-barrier coverage problem into a minimum cost flow problem with side constraints. Then we use Lagrangian relaxation technique to solve this minimum cost flow problem. Moreover, we propose two efficient heuristics for the minimum energy cost k-barrier coverage problem. Simulations evaluate that our algorithms are efficient.

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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, P.R. China

    Huiqiang Yang, Deying Li, Qinghua Zhu, Wenping Chen & Yi Hong

Authors
  1. Huiqiang Yang
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  2. Deying Li
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  3. Qinghua Zhu
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  4. Wenping Chen
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  5. Yi Hong
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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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Yang, H., Li, D., Zhu, Q., Chen, W., Hong, Y. (2010). Minimum Energy Cost k-barrier Coverage 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_10

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  • DOI: https://doi.org/10.1007/978-3-642-14654-1_10

  • 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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