Advertisement

Wireless Personal Communications

, Volume 77, Issue 3, pp 2099–2115 | Cite as

An Energy Efficient Barrier Coverage Algorithm for Wireless Sensor Networks

  • Habib MostafaeiEmail author
  • Mohammad Reza Meybodi
Article

Abstract

Intrusion detection is one of the most important applications of wireless sensor networks. When mobile objects are entering into the boundary of a sensor field or are moving cross the sensor field, they should be detected by the scattered sensor nodes before they pierce through the field of sensor (barrier coverage). In this paper, we propose an energy efficient scheduling method based on learning automata, in which each node is equipped with a learning automaton, which helps the node to select best node to guarantee barrier coverage, at any given time. To apply our method, we used coverage graph of deployed networks and learning automata of each node operates based on nodes that located in adjacency of current node. Our algorithm tries to select minimum number of required nodes to monitor barriers in deployed network. To investigate the efficiency of the proposed barrier coverage algorithm several computer simulation experiments are conducted. Numerical results show the superiority of the proposed method over the existing methods in term of the network lifetime and our proposed algorithm can operate very close to optimal method.

Keywords

Barrier coverage Sensor networks Energy efficient scheduling Learning automata (LA) 

References

  1. 1.
    Arora, A., Dutta, P., Bapat, S., Kulathumani, V., Zhang, H., Naik, V., et al. (2004). A line in the sand: A wireless sensor network for target detection, classification, and tracking. Computer Networks, 46(5), 605–634.CrossRefGoogle Scholar
  2. 2.
    Kumar, S., Lai, T. H., & Balogh, J. (2004). On k-coverage in a mostly sleeping sensor network. In ACM MobiCom’04 (pp. 144–158).Google Scholar
  3. 3.
    Li, X.-Y., Wan, P.-J., & Frieder, O. (2003). Coverage in wireless ad-hoc sensor networks. IEEE Transactions on Computers, 52(6), 753–763.CrossRefGoogle Scholar
  4. 4.
    Meguerdichian, S., Koushanfar, F., Potkonjak, M., & Srivastava, M. (2001). Coverage problems in wireless ad-hoc sensor networks. In Proceedings of the IEEE InfoCom (InfoCom’01) (pp. 115–121). Anchorage, AK.Google Scholar
  5. 5.
    Liu, B., Dousse, O., Wang, J., & Saipulla, A. (2008). Strong barrier coverage of wireless sensor networks. In ACM MobiHoc (pp. 411–419).Google Scholar
  6. 6.
    Liu, C., & Cao, G. (2011). Spatial-temporal coverage optimization in wireless sensor networks. IEEE Transaction on Mobile Computing, 10(4), 465–478.CrossRefGoogle Scholar
  7. 7.
    Ma, H., & Al, E., (2012). Energy efficient k-barrier coverage in limited mobile wireless sensor networks. Computer Communications.Google Scholar
  8. 8.
    Kumar, S., Lai, T. H., & Arora, A. (2005). Barrier coverage with wireless sensors. In Proceedings of ACM MobiCom (pp. 284–298). Cologne, Germany.Google Scholar
  9. 9.
    Zhu, C., Zheng, C., Shu, L., & Han, G. (2012). A survey on coverage and connectivity issues in wireless sensor networks. Journal of Network and Computer Applications, 35, 619–632.CrossRefGoogle Scholar
  10. 10.
    Gage, D. W. (1992). Command control for many-robot systems. Unmanned Systems Magazine, 22–24.Google Scholar
  11. 11.
    He, J., & Shi, H. (2012). Constructing sensor barriers with minimum cost in wireless sensor networks. Journal of Parallel and Distributed Computing, 71, 1654–1663.CrossRefGoogle Scholar
  12. 12.
    Yang, G., & Qiao, D. Barrier information coverage with wireless sensors. (2009). In 28th IEEE International Conference on Computer Communications, INFOCOM (pp. 918–926). Rio de Janeiro, Brazil.Google Scholar
  13. 13.
    Saipulla, A., Westphal, C., Liu, B., & Wang, J. (2010). Barrier coverage of line-based deployed wireless sensor networks. Ad Hoc Network, 127–135.Google Scholar
  14. 14.
    Silvestri, S. (2011). MobiBar: Barrier coverage with mobile sensors. In Proceedings of the the IEEE Global Communications Conference (GLOBECOM) (pp. 1–6).Google Scholar
  15. 15.
    Chen, A., Kumar, S., & Lai, T. (2010). Local barrier coverage in wireless sensor networks. IEEE Transaction on Mobile Computing, 9(4), 491–504.CrossRefGoogle Scholar
  16. 16.
    Chen, A., Kumar, S., & Lai, T. H. (2007). Designing localized algorithms for barrier coverage. In Proceedings of the 13th Annual ACM International Conference on Mobile Computing and Networking, MobiCom’07, ACM (pp. 63–74). New York, NY, USA.Google Scholar
  17. 17.
    Ban, D., Yang, W., Jiang, J., Wen, J., & Dou, W. (2010). Energy-efficient algorithms for k-barrier coverage in mobile sensor networks. International Journal of Computers Communications and Control, 5, 616–624.Google Scholar
  18. 18.
    Ssu, K., Wang, W., Wu, F., & Wu, T. (2009). K-barrier coverage with a directional sensing model. In Proceedings of the International Journal on Smart Sensing and Intelligent Systems (pp. 75–83).Google Scholar
  19. 19.
    Thathachar, M. A. L., & Sastry, P. S. (2002). Varieties of learning automata: An overview. IEEE Transaction on Systems, Man and Cybernetics-Part B: Cybernetics, 32(6), 711–722.CrossRefGoogle Scholar
  20. 20.
    Narendra, K. S., & Thathachar, M. A. L. (1989). Learning automata: An introduction. Englewood Cliffs: Prentice Hall.Google Scholar
  21. 21.
    Mostafaei, H., & Meybodi, M. R. (2013). Maximizing lifetime of target coverage in wireless sensor networks using learning automata. Wireless Personal Communications, 71(2), 1461–1477. doi: 10.1007/s11277-012-0885-y.
  22. 22.
    Mostafaei, H., Meybodi, M. R., & Esnaashari, M. (2010). A learning automata based area coverage algorithm for wireless sensor networks. Journal of Electronic Science and Technology, 8(3), 200–205.Google Scholar
  23. 23.
    Mostafaei, H., Meybodi, M. R., & Esnaashari, M. (2010 ). EEMLA: Energy efficient monitoring of wireless sensor network with learning automata. In International conference on signal acquisition and processing (pp. 107–111). Bangalore, India.Google Scholar
  24. 24.
    Esnaashari, M., & Meybodi, M. R. (2010). A cellular learning automata-based deployment strategy for mobile wirelesssensor networks. Journal of Parallel and Distribted Computing, 71(7), 988–1001. doi: 10.1016/j.jpdc.2010.10.015.CrossRefGoogle Scholar
  25. 25.
  26. 26.
    Heinzelman, W., Chandrakasan, A., & Balakrishnan, H. (2000 ). Energy-efficient communication protocol for wireless microsensor networks. In Proceedings of the 33rd Hawaii international conference on system sciences (pp. 1–10). Hawaii, USA.Google Scholar
  27. 27.
    Kumar, S., Lai, T. H., Posner, M. E., & Sinha, P. (2007). Optimal sleep-wakeup algorithms for barriers of wireless sensors. In Fourth International Conference on Broadband Communications, Networks, and Systems (IEEE BROADNETS) (pp. 327–336). Raleigh, NC.Google Scholar

Copyright information

© Springer Science+Business Media New York 2014

Authors and Affiliations

  1. 1.Department of Computer Engineering, Urmia BranchIslamic Azad UniversityUrmiaIran
  2. 2.Department of Computer EngineeringAmirKabir University of TechnologyTehranIran

Personalised recommendations