skip to main content
10.1145/2664551.2664558acmotherconferencesArticle/Chapter ViewAbstractPublication PageswebmediaConference Proceedingsconference-collections
research-article

Enhancing Redundancy in Wireless Visual Sensor Networks for Target Coverage

Published:18 November 2014Publication History

ABSTRACT

Wireless visual sensor networks provide valuable information for many monitoring and control applications. Sometimes, a set of targets needs to be monitored by deployed visual sensors. For those networks, however, some active visual sources may fail, potentially degrading the application monitoring quality when targets become uncovered. Moreover, some applications may need different perspectives of the same target. As visual sensors will be used to monitor a set of targets, a high level of monitoring redundancy may be required and an effective way to achieve it is assuring that targets are being concurrently viewed by more than one visual sensor. We propose a centralized greedy algorithm to enhance redundancy in wireless visual sensor networks when visual sensors with adjustable orientations are deployed. Additionally, as some targets may be more critical for the application, we propose a priority-based configuration of the sensors' poses in order to achieve an optimized configuration for the visual sensors.

References

  1. J. Ai and A. A. Abouzeid. Coverage by directional sensors in randomly deployed wireless sensors networks. Journal of Combinatorial Optimization, 11:21--41, 2006.Google ScholarGoogle ScholarCross RefCross Ref
  2. I. Akyildiz, T. Melodia, and K. Chowdhury. A survey on wireless multimedia sensor networks. Computer Networks, 51:921--960, 2007. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. M. Alaei and J. M. Barcelo-Ordinas. Node clustering based on overlapping fovs for wireless multimedia sensor networks. In IEEE Wireless Communications and Network Conference, 2010.Google ScholarGoogle ScholarCross RefCross Ref
  4. I. Almalkawi, M. Zapata, J. Al-Karaki, and J. Morillo-Pozo. Wireless multimedia sensor networks: current trends and future directions. Sensors, 10:6662--6717, 2010.Google ScholarGoogle ScholarCross RefCross Ref
  5. Y. Cai, W. Lou, M. Li, and X.-Y. Li. Target-oriented scheduling in directional sensor networks. In IEEE Infocom, 2007.Google ScholarGoogle Scholar
  6. M. Cardei and J. Wu. Energy-efficient coverage problems in wireless ad hoc sensor networks. Computer Communications, 29:413--420, 2006. Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. Y. Charfi, B. Canada, N. Wakamiya, and M. Murata. Challenging issues in visual sensor networks. IEEE Wireless Communications, 16:44--49, 2009. Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. K.-Y. Chow, K.-S. Lui, and E. Y. Lam. Achieving 360 angle coverage with minimum transmission cost in visual sensor networks. In Proceedings of IEEE Wireless Communications and Networking Conference, 2007.Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. K.-Y. Chow, K.-S. Lui, and E. Y. Lam. Maximizing angle coverage in visual sensor networks. In IEEE International Conference on Communications, 2007.Google ScholarGoogle ScholarCross RefCross Ref
  10. D. Costa and L. Guedes. The coverage problem in video-based wireless sensor networks: a survey. Sensors, 10:8215--8247, 2010.Google ScholarGoogle ScholarCross RefCross Ref
  11. D. Costa, I. Silva, L. Guedes, F. Vasques, and P. Portugal. Availability issues in wireless visual sensor networks. Sensors, 14:2795--2821, 2014.Google ScholarGoogle ScholarCross RefCross Ref
  12. D. Costa, I. Silva, L. Guedes, F. Vasques, and P. Portugal. Selecting redundant nodes when addressing availability in wireless visual sensor networks. In IEEE Conference on Industrial Informatics, 2014.Google ScholarGoogle ScholarCross RefCross Ref
  13. C.-F. Huang and Y.-C. Tseng. The coverage problem in a wireless sensor network. In Proceedings of ACM International Workshop on Wireless Sensor Networks and Applications, 2003. Google ScholarGoogle ScholarDigital LibraryDigital Library
  14. A. Kansal, W. Kaiser, G. Pottie, M. Srivastava, and G. Sukhatme. Reconfiguration methods for mobile sensor networks. ACM Transactions on Sensor Networks, 3(4):22, 2007. Google ScholarGoogle ScholarDigital LibraryDigital Library
  15. H. Lee and H. Aghajan. Vision-enabled node localization in wireless sensor networks. In Conference on Cognitive Systems with Interactive Sensors, 2006.Google ScholarGoogle Scholar
  16. L. Liu, H. Ma, and X. Zhang. On directional k-coverage analysis of randomly deployed camera sensor networks. In Proceedings of IEEE International Conference on Communications, 2008.Google ScholarGoogle ScholarCross RefCross Ref
  17. M. Marengoni, B. Draper, A. Handson, and R. Sitaraman. A system to place observers on a polyhedral terrain in a polynomial time. Image and Vision Computing, 18:773--780, 1996.Google ScholarGoogle ScholarCross RefCross Ref
  18. V. Munishmar and N. Abu-Ghazaleh. Coverage algorithms for visual sensor networks. ACM Transactions on Sensor Networks, 9(4):34, 2013. Google ScholarGoogle ScholarDigital LibraryDigital Library
  19. Y. Osais, M. St-Hilaire, and F. Yu. Directional sensor placement with optimal sensing ranging, field of view and orientation. Mobile Networks and Applications, 15:216--225, 2010. Google ScholarGoogle ScholarDigital LibraryDigital Library

Index Terms

  1. Enhancing Redundancy in Wireless Visual Sensor Networks for Target Coverage

      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 Other conferences
        WebMedia '14: Proceedings of the 20th Brazilian Symposium on Multimedia and the Web
        November 2014
        256 pages
        ISBN:9781450332309
        DOI:10.1145/2664551

        Copyright © 2014 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: 18 November 2014

        Permissions

        Request permissions about this article.

        Request Permissions

        Check for updates

        Qualifiers

        • research-article

        Acceptance Rates

        WebMedia '14 Paper Acceptance Rate25of86submissions,29%Overall Acceptance Rate270of873submissions,31%

      PDF Format

      View or Download as a PDF file.

      PDF

      eReader

      View online with eReader.

      eReader