skip to main content
10.1145/1868589.1868592acmconferencesArticle/Chapter ViewAbstractPublication PagesmswimConference Proceedingsconference-collections
research-article

Multiple coverage with controlled connectivity in wireless sensor networks

Published:17 October 2010Publication History

ABSTRACT

The k-coverage of the area of interest is a classical requirement in wireless sensor networks, for purposes such as redundancy or multiple supervision of the area. We aim in this article at preserving full k-coverage of the area of interest yet minimizing the number of sensors needed for data gathering. Our main contribution consists in a localized layer-based coverage protocol and introduces a "Sensing-Only" state for some of the monitoring sensors. Indeed, among active sensors that achieve multiple coverage, a small connected subset can be constructed in order to ensure data multi-hop transmissions from points of interest to sink stations, thus allowing remaining sensors to cut their radio in reception. We evaluate our scheme through different constructions of sets of eligible nodes, ranging from a simple layered k-coverage to a more elaborated cross-layer determination. Ensuring multiple coverage with a reduced connected active node set, the present solution does not only reduce the overall activity of the network and the number of emissions, but also requires only few extra messages to be efficient.

References

  1. F. Dai and J. Wu. Distributed dominant pruning in ad hoc networks. In Proc. of IEEE International Conference on Communications (ICC), pages 353--357, Anchorage, AK, USA, 2003.Google ScholarGoogle Scholar
  2. G. Fan and S. Jin. A simple coverage-evaluating approach for wireless sensor networks with arbitrary sensing areas. Information Processing Letters (Elsevier), 106(4):159--161, 2008. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. G. S. G. Barrenetxea, F. Ingelrest and M. Vetterli. The hitchhiker's guide to successful wireless sensor network deployments. In Proc. of ACM Conference on Embedded Networked Sensor Systems (SenSys), pages 43--56, Raleigh, NC, USA, 2008. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. A. Gallais and J. Carle. An adaptive localized algorithm for multiple sensor area coverage. Ad Hoc & Sensor Wireless Networks, 4(3):271--288, 2007.Google ScholarGoogle Scholar
  5. A. Gallais, J. Carle, D. Simplot-Ryl, and I. Stojmenovic;. Localized sensor area coverage with low communication overhead. IEEE Transactions on Mobile Computing, 7:661--672, 2008. Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. H. Gupta, Z. Zhou, S. Das, and Q. Gu. Connected sensor cover: self-organization of sensor networks for efficient query execution. IEEE/ACM Transactions on Networking, 14(1):55--67, 2006. Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. J. K. Hart and K. Martinez. Environmental sensor networks: A revolution in the earth system science? Earth-Science Reviews (Elsevier), 78:177--191, 2006.Google ScholarGoogle ScholarCross RefCross Ref
  8. IEEE. Part 15.4: Wireless medium access control (mac) and physical layer (phy) specifications for low-rate wireless personal area networks (wpans), September 2006.Google ScholarGoogle Scholar
  9. J. Lu and T. Suda. Differentiated surveillance for static and random mobile sensor networks. IEEE Transactions on Wireless Communications, 7(11-1):4411--4423, 2008. Google ScholarGoogle ScholarDigital LibraryDigital Library
  10. P. Mérindol and A. Gallais. Path diversity in energy-efficient wireless sensor networks. In In Proc. of 20th IEEE Personal, Indoor and Mobile Radio Communications Symposium 2009 (PIMRC), Tokyo, Japan, 2009.Google ScholarGoogle ScholarCross RefCross Ref
  11. J. Sheu, C. Yu, and S. Tu. A distributed protocol for query execution in sensor networks. In Proc. of IEEE Wireless Communications and Networking Conference (WCNC), volume 3, pages 1824--1829, New Orleans, LA, USA, 2005.Google ScholarGoogle Scholar
  12. T. Yan, T. He, and J. A. Stankovic. Differentiated surveillance service for sensor networks. In Proc. of ACM Conference on Embedded Networked Sensor Systems (SenSys), pages 51--62, Los Angeles, CA, USA, 2003. Google ScholarGoogle ScholarDigital LibraryDigital Library
  13. B. Yener, M. Magdon-Ismail, and F. Sivrikaya. Joint problem of power optimal connectivity and coverage in wireless sensor networks. Wireless Networks (Springer), 13(4):537--550, 2007. Google ScholarGoogle ScholarDigital LibraryDigital Library
  14. J. Yick, B. Mukherjee, and D. Ghosal. Wireless sensor network survey. Computer Networks (Elsevier), 52(12):2292--2330, 2008. Google ScholarGoogle ScholarDigital LibraryDigital Library
  15. H. Zhang and J. C. Hou. Maintaining sensing coverage and connectivity in large sensor networks. Ad Hoc and Sensor Wireless Networks journal (Old City Publishing), 1:89--123, 2005.Google ScholarGoogle Scholar

Index Terms

  1. Multiple coverage with controlled connectivity in wireless sensor networks

        Recommendations

        Comments

        Login options

        Check if you have access through your login credentials or your institution to get full access on this article.

        Sign in
        • Published in

          cover image ACM Conferences
          PE-WASUN '10: Proceedings of the 7th ACM workshop on Performance evaluation of wireless ad hoc, sensor, and ubiquitous networks
          October 2010
          114 pages
          ISBN:9781450302760
          DOI:10.1145/1868589

          Copyright © 2010 ACM

          Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

          Publisher

          Association for Computing Machinery

          New York, NY, United States

          Publication History

          • Published: 17 October 2010

          Permissions

          Request permissions about this article.

          Request Permissions

          Check for updates

          Qualifiers

          • research-article

          Acceptance Rates

          Overall Acceptance Rate70of240submissions,29%

        PDF Format

        View or Download as a PDF file.

        PDF

        eReader

        View online with eReader.

        eReader