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Intrusion Detection at International Borders and Large Military Barracks with Multi-sink Wireless Sensor Networks: An Energy Efficient Solution


Wireless Sensor Networks have profound applications in military systems. Intrusion at unmanned borders and at other sensitive places may be tracked using sensor networks. However, the domain of military applications could imply hostile environment and thus monitoring of the nodes of the deployed WSN could be practically impossible. It is thus required that the deployed WSN ensures low energy consumption to give a high network life such that the cost of deployment may be suitably amortized. In this paper we propose an energy efficient solution for detecting intrusions through unmanned borders and other sensitive places with prolonged network lifetime using two routing schemes: KPS and Loop Free (LF)-KPS. We have compared these two schemes with LEACH and TEEN, and have shown how data transfer through KPS and LF-KPS protocols would ensure an enhanced lifetime for the deployed network. At the end we have also shown the effect of looping on the lifetime of the deployed network.

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  1. 1.

    Đurišić, M. P., Tafa, Z., Dimić, G., Milutinović, V. (2012). A survey of military applications of wireless sensor networks. In Embedded computing (MECO), 2012 Mediterranean Conference on, pp. 196–199. IEEE.

  2. 2.

    Lee, S. H.,Lee, S., Song, H., Lee, H. S. (2009). Wireless sensor network design for tactical military applications: remote large-scale environments. In Military communications conference, 2009. MILCOM 2009. IEEE, pp. 1–7. IEEE.

  3. 3.

    DeBardelaben, J. A. (2003). Multimedia sensor networks for ISR applications. In Signals, systems and computers, 2004. Conference record of the thirty-seventh Asilomar conference on, vol. 2, pp. 2009–2012. IEEE.

  4. 4.

    Bulusu, N., & Jha, S. (2005). Wireless sensor network systems: A systems perspective (Artech House Mems and Sensors Library), vol. 326. Artech House Publishers Hardcove.

  5. 5.

    Naz, P., Hengy, S., & Hamery, P. (2012). Soldier detection using unattended acoustic and seismic sensors. In SPIE defense, security, and sensing, pp. 83890T–83890T. International Society for Optics and Photonics.

  6. 6.

    Hussain, M. A., Khan, P., & Sup, K. K. (2009). WSN research activities for military application. In Proceedings of 11th International Conference on Advanced Communication Technology, ICACT 2009, Phoenix Park, Korea, 15–18 Feb. 2009, pp. 271–274.

  7. 7.

    De Bree, H.-E., & Wind, J. W. The acoustic vector sensor: A versatile battlefield acoustics sensor. In SPIE defense, security, and sensing, pp. 80470C–80470C. International Society for Optics and Photonics.

  8. 8.

    Hengy, S., Hamery, P., De Mezzo, S., & Duffner, P. (2011). Networked localization of sniper shots using acoustics. In SPIE Defense, Security, and Sensing, pp. 804602–804602. International Society for Optics and Photonics.

  9. 9.

    Dulski, R., Kastek, M., Trzaskawka, P., Piątkowski, T., Szustakowski, M., & Życzkowski, M. (2011). Concept of data processing in multisensor system for perimeter protection. In SPIE defense, security, and sensing, pp. 80190X–80190X. International Society for Optics and Photonics.

  10. 10.

    He, J., Fallahi, M., Norwood, R. A., & Peyghambarian, N. (2011). Smart border: ad-hoc wireless sensor networks for border surveillance. In SPIE defense, security, and sensing, pp. 80190Z–80190Z. International Society for Optics and Photonics.

  11. 11.

    Adams, J. D., Whitten, R., & Rogers, B. S. (2007). Chemical, biological, and explosive vapor detection with micro cantilever array sensors. In Spie defense and security Symposium, pp. 9–13.

  12. 12.

    Zehr, R. T., Holland, S. K., & Laufer, G. (2007). A low-cost remote chemical sensor for E-UAV platforms. In Spie defense and security symposium (pp. 9–13).

  13. 13.

    Bukshpun, L., Pradhan, R. D., Tun, N., Esterkin, V., & Tomczyk, G. (2007). Novel optical sensor system for missile canisters continuous monitoring. In Proceedings of the SPIE, vol. 6538, p. 61.

  14. 14.

    Baine, N. A., Desai, P., & Rattan, K. S. (2011). INS aided by an acoustic wireless sensor network and magnetometer. In SPIE defense, security, and sensing, pp. 80610M–80610M. International Society for Optics and Photonics.

  15. 15.

    Deng, H., & Xu, H. (2007). Acoustic threatening sound recognition system. In SPIE defence security symposium, Orlando, Florida USA, pp. 9–13.

  16. 16.

    Grilo, A., Silva, R., Afonso III, R., Nunes, L. C. P., Militar, A., da Rainha, P., Martins, M. J., Nunes, M. 12TH ICCRTS “Adapting C2 to the 21st Century”.

  17. 17.

    Steves, M. P. (2006). Utility assessments of soldier-worn sensor systems for ASSIST. In Proceedings of the performance metrics for intelligent systems workshop.

  18. 18.

    Singh, J., & Thapar, E. V. (2012). Intrusion detection system in wireless sensor network. International Journal of Computer Science and Communication Engineering, 1(2), 76–80.

  19. 19.

    Sharma, V., Patel, R. B., Bhadauria, H. S., & Prasad, D. (2016). NADS: Neighbor assisted deployment scheme for optimal placement of sensor nodes to achieve blanket coverage in wireless sensor network. Wireless Personal Communications, pp. 1–31.

  20. 20.

    Jamali, S., & Hatami, M. (2015). Coverage aware scheduling in wireless sensor networks: An optimal placement approach. Wireless Personal Communications, 85(3), 1689–1699.

  21. 21.

    Ghosh, K., Das, P. K., & Neogy, S. (2016). KPS: A fermat point based energy efficient data aggregating routing protocol for multi-sink wireless sensor networks. In Advanced computing and systems for security, pp. 203–221. Springer, India.

  22. 22.

    Song, Y.-M., Lee, S.-H., & Ko, Y.-B. (2005). Ferma: An efficient geocasting protocol for wireless sensor networks with multiple target regions. In Embedded and ubiquitous computingEUC 2005 workshops, pp. 1138–1147. Springer, Berlin.

  23. 23.

    Ghosh, K., Das, P. K., & Neogy, S. (2015). Effect of source selection, deployment pattern, and data forwarding technique on the lifetime of data aggregating multi-sink wireless sensor network. In Applied computation and security systems, pp. 137–152. Springer, India.

  24. 24.

    Ghosh, K., & Das, P. K. (2012). Effect of forwarding strategy on the life time of multi-hop multi-sink sensor networks. In Proceeding of the 3rd international conference on trends in information, telecommunication and computing ITC 2013, pp. 54–64.

  25. 25.

    Chang, J.-H., & Tassiulas, L. (2000). Energy conserving routing in wireless ad-hoc networks. In INFOCOM 2000. Nineteenth annual joint conference of the IEEE Computer and Communications Societies. Proceedings. IEEE, vol. 1, pp. 22–31. IEEE.

  26. 26.

    Lohani, D., & Varma, S. (2016). Energy efficient data aggregation in mobile agent based wireless sensor network. Wireless Personal Communications, pp. 1–12.

  27. 27.

    Kamarei, M., Hajimohammadi, M., Patooghy, A., & Fazeli, M. (2015). An efficient data aggregation method for event-driven WSNs: A modeling and evaluation approach. Wireless Personal Communications, 84(1), 745–764.

  28. 28.

    Min, R. et al. (2001). Low-power wireless sensor networks. In VLSI design, fourteenth international conference on. IEEE, pp. 205–210.

  29. 29.

    Min, R., & Chandrakasan, A. (2001). Energy-efficient communication for ad-hoc wireless sensor networks. In Signals, systems and computers, conference record of the thirty-fifth Asilomar conference on. IEEE, pp. 139–143.

  30. 30.

    Anastasi, G. et al. (2004). Performance measurements of motes sensor networks. In Proceedings of the 7th ACM international symposium on modeling, analysis and simulation of wireless and mobile systems. ACM, pp. 174–181.

  31. 31.

    Heinzelman, W. B., Chandrakasan, A. P., & Balakrishnan, H. (2002). An application-specific protocol architecture for wireless microsensor networks. IEEE Transactions on Wireless Communications, 1(4), 660–670.

  32. 32.

    Gandham, S. R., Dawande, M., Prakash, R., & Venkatesan, S. (2003). Energy efficient schemes for wireless sensor networks with multiple mobile base stations. In Global telecommunications conference, 2003. GLOBECOM’03. IEEE, vol. 1, pp. 377–381. IEEE.

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Correspondence to Kaushik Ghosh.

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Ghosh, K., Neogy, S., Das, P.K. et al. Intrusion Detection at International Borders and Large Military Barracks with Multi-sink Wireless Sensor Networks: An Energy Efficient Solution. Wireless Pers Commun 98, 1083–1101 (2018).

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  • Wireless Sensor Network
  • Energy Efficiency
  • Lifetime Enhancement
  • Intrusion Detection
  • Military Application