Inter-Contact Routing for using Mobile Phone System

  • Authors

    • Dr M.Malathy
    • P J.Alin Mercybha
    • J Jebasty Kiruba
    • M Benisha
    2018-09-01
    https://doi.org/10.14419/ijet.v7i3.34.19338
  • Ad hoc networks, Disaster recovery, Mobile communication, Smart Phones, Wireless fidelity.

  • Abstract

    Disaster management is the important filed in our world. It is based on communication between rescue-workers and trapped survivors in the disaster situation. In this paper, two main components are namely messaging system and self rescue system. Messaging system runs on rescue workers as-well-as trapped survivors. Self rescue system runs on trapped survivors. When the rescue workers enter into the spot for recovery works they will provide network continuously within certain distance and range.  The head node collects all the necessary information about the nearby trapped survivors in their group. The rescue worker forwards the collected information of the trapped survivors to the command centre. The command centre finds the route between rescue workers in disaster region using AODV routing protocol.

     

     

  • References

    1. [1] K. Lorincz, et al., “Sensor networks for emergency response: Challenges and opportunities,†IEEE Pervasive Comput., vol. 3, no. 4, pp. 16–23, Oct. 2014.

      [2] S. George, et al., “Distress net: A wireless ad hoc and sensor net- work architecture for situation management in disaster response,†IEEE Commun. Mag., vol. 48, no. 3, pp. 128–136, Mar. 2012.

      [3] G.Zussman and A. Segall, “Energy efficient routing in adhocdisas- terrecovery networks,â€in Proc. IEEE INFOCOM,2013,pp.682–691.

      [4] A.Fujihara and H.Miwa, “Disaster evacuation guidance using opportunistic communication: The potential for opportunity-based service,â€inBigDataIntThingsARoadmapSmartEnviron.,2014,pp.425–446

      [5] “Powerful quake ravages china, killing thousands,â€(2011).[Online]. Available: http://www.nytimes.com/2008/05/13/world/asia/ 13china.html

      [6] X. Sun, Z. Lu, W. Hu, and G. Cao, “Symdetector: Detecting sound- related respiratory symptoms using smartphones,†in Proc. ACM Int. Joint Conf. Pervasive Ubiquitous Comput., 2015, pp. 97–108.

      [7] X. Sun, Z. Lu, W. Hu, and G. Cao, “Symdetector: Detecting sound- related respiratory symptoms using smartphones,†in Proc. ACM Int. Joint Conf. Pervasive Ubiquitous Comput., 2015, pp. 97–108.

      [8] M.-R. Ra, B. Liu, T. F. La Porta, and R. Govindan, “Medusa: A pro- gramming framework for crowd-sensing applications,†in Proc. 10th Int. Conf. Mobile Syst. Appl. Services, 2012, pp. 337–350.

      [9] C. Shi, V. Lakafosis, M. H. Ammar, and E. W. Zegura, “Serendipity: Enabling remote computing among intermittently connected mobile devices,†in Proc. 13th ACM Int. Symp. Mobile Ad Hoc Netw. Comput., 2012, pp. 145–154.

      [10] Y.Wang, J. Liu, Y. Chen, M. Gruteser, J. Yang, and H. Liu, “E-eyes: Device-free location-oriented activity identiï¬cation using ï¬ne-grained WiFi signatures,†in Proc. 20th Annu. Int. Conf. Mobile Comput. Netw., 2017, pp. 617–628.

      [11] N. Suzuki, J. L. F. Zamora, S. Kashihara, and S. Yamaguchi, “SOSCast: Location estimation of immobilized persons through SOS message propagation,†in Proc. 4th Int. Conf. Intell. Netw. Col- laborativeSyst., 2016, pp. 428–435.

  • Downloads

  • How to Cite

    M.Malathy, D., J.Alin Mercybha, P., Jebasty Kiruba, J., & Benisha, M. (2018). Inter-Contact Routing for using Mobile Phone System. International Journal of Engineering & Technology, 7(3.34), 414-416. https://doi.org/10.14419/ijet.v7i3.34.19338

    Received date: 2018-09-09

    Accepted date: 2018-09-09

    Published date: 2018-09-01