IDEAS home Printed from https://ideas.repec.org/a/spr/jcomop/v34y2017i1d10.1007_s10878-016-0071-3.html
   My bibliography  Save this article

Maximizing target-temporal coverage of mission-driven camera sensor networks

Author

Listed:
  • Yi Hong

    (Beijing Institute of Petrochemical Technology)

  • Deying Li

    (Renmin University of China)

  • Donghyun Kim

    (North Carolina Central University)

  • Wenping Chen

    (Renmin University of China)

  • Jiguo Yu

    (Qufu Normal University)

  • Alade O. Tokuta

    (North Carolina Central University)

Abstract

In camera sensor networks (CSNs), the target coverage problem is of special importance since a sensor with different viewing directions captures distinct views for the same target. Furthermore, mission-driven monitoring applications in CSNs usually have special network lifetime requirements in which the limited battery lifetime of sensors probably can not sustain for full coverage. In this paper, based on effective-sensing model, we address three new coverage problems in mission-driven camera sensor networks, namely the target-temporal effective-sensing coverage with non-adjustable cameras (TEC-NC) problem, the target-temporal effective-sensing coverage with adjustable cameras (TEC-AC) problem, and the target-temporal effective-sensing coverage with fully-adjustable cameras (TEC-FAC) problem. Given a mission period, the common objective of the problems is to find a sleep-wakeup schedule such that the overall target-temporal coverage is maximized. For TEC-NC, we propose a 2-approximation algorithm and two new heuristics. We also design two greedy strategies, each of which can be combined with our solutions for TEC-NC to deal with TEC-AC and TEC-FAC, respectively. We finally conduct extensive experiments to evaluate the performance of the proposed algorithms, whose results indicate the proposed algorithms outperform the existing alternatives as well as are close to the theoretical optimum on average under certain conditions.

Suggested Citation

  • Yi Hong & Deying Li & Donghyun Kim & Wenping Chen & Jiguo Yu & Alade O. Tokuta, 2017. "Maximizing target-temporal coverage of mission-driven camera sensor networks," Journal of Combinatorial Optimization, Springer, vol. 34(1), pages 279-301, July.
    • Handle: RePEc:spr:jcomop:v:34:y:2017:i:1:d:10.1007_s10878-016-0071-3
    DOI: 10.1007/s10878-016-0071-3
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10878-016-0071-3
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s10878-016-0071-3?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Jing Ai & Alhussein A. Abouzeid, 2006. "Coverage by directional sensors in randomly deployed wireless sensor networks," Journal of Combinatorial Optimization, Springer, vol. 11(1), pages 21-41, February.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Samer Hanoun & Asim Bhatti & Doug Creighton & Saeid Nahavandi & Phillip Crothers & Celeste Gloria Esparza, 2016. "Target coverage in camera networks for manufacturing workplaces," Journal of Intelligent Manufacturing, Springer, vol. 27(6), pages 1221-1235, December.
    2. Rossi, André & Singh, Alok & Sevaux, Marc, 2013. "Lifetime maximization in wireless directional sensor network," European Journal of Operational Research, Elsevier, vol. 231(1), pages 229-241.
    3. Tu-Liang Lin & Sheng-Lin Li & Hong-Yi Chang, 2016. "A Power Balance Aware Wireless Charger Deployment Method for Complete Coverage in Wireless Rechargeable Sensor Networks," Energies, MDPI, vol. 9(9), pages 1-13, August.
    4. Jing Gao & Jianzhong Li & Yingshu Li, 2016. "Approximate event detection over multi-modal sensing data," Journal of Combinatorial Optimization, Springer, vol. 32(4), pages 1002-1016, November.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:jcomop:v:34:y:2017:i:1:d:10.1007_s10878-016-0071-3. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.