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Sensor node assisted DTN for a post-disaster scenario

Published: 04 January 2019 Publication History

Abstract

A Delay Tolerant Network being a facilitator of communication establishment in heterogeneous networking environments may present an efficient solution of communication in a Wireless Sensor Network that may exist within the ambit of the DTN. WSNs may be found easily in a DTN like those temporarily created using sensor-deployment over drowned places or villages, etc. Collecting information from those cut-off areas is of utmost importance to provide efficient rescue and relief operation. Current work suggests distributing Delsar Life Detection Sensors for probing such cut-off areas for tracing of struck or trapped life. Localization techniques have been used to locate the exact positions of the victims so that appropriate help could be administered to them with efficiency. At the time of distributing the sensors, one or two tag sensors with high power are positioned strategically in the cut-off areas that collect data from the sensors and from where data is further collected using some data mules. The results have been obtained both over simulation in the NS2 simulator and over a practical field implementation. Results suggest that the proposed architecture is able to predict presence of life with more than 70 percent accuracy. This shows that the proposed novel solution to WSN assisted DTN is practicable and efficient for implementation during disasters to communicate with cut-off and far-off remote areas.

References

[1]
M. Loubser, 2006. Delay Tolerant Networking for Sensor Networks. SICS Technical Report, ISSN 1100-3154.
[2]
Online: https://www.feldfire.com/DelsarLifeDetectorLD3_p_1774.html, last accessed: 14.10.2018.
[3]
Online resource: http://catf-4.us/images/shared/USAR%20Program%20Directives/2011%20Directives/2011%20Task%20Force%20Equipment%20Cache%20List%20-%20FINAL%201MAR2011.pdf, last accessed: 14.10.2018.
[4]
H. Chenji, A. Hassanzadeh, M. Won, Y. Li, W. Zhang, X. Yang, R. Stoleru and G. Zhou. 2011. A wireless sensor, adhoc and delay tolerant network system for disaster response. Tech. Report 2011-9-2, Texas A&M.
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A. Dunkels, B. Gronvall and T. Voigt. 2004. Contiki-a lightweight and flexible OS for tiny networked sensors. In Proceedings of 29th Annual IEEE Int. Conf. on Local Comp. Networks, Tampa, FL, USA, pp. 455--462.
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A.K. Gupta, I. Bhattacharya, P.S. Banerjee, J.K. Mandal and A. Mukherjee. 2016. DirMove: direction of movement based routing in DTN architecture for post-disaster scenario. Wireless Networks, 22(3), pp. 723--740.
[7]
T. Mondal, J. Roy, I. Bhattacharya, S. Chakraborty, S. Saha and S. Saha. 2016. Smart navigation and dynamic path planning of a microjet in a post disaster scenario. In Proceedings of the Second ACM SIGSPATIAL (EM-GIS '16). ACM, New York, NY, USA, Article 14, 8 pages.

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    cover image ACM Conferences
    ICDCN '19: Proceedings of the 20th International Conference on Distributed Computing and Networking
    January 2019
    535 pages
    ISBN:9781450360944
    DOI:10.1145/3288599
    • General Chairs:
    • R. C. Hansdah,
    • Dilip Krishnaswamy,
    • Nitin Vaidya
    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]

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    Publication History

    Published: 04 January 2019

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    Author Tags

    1. DTN
    2. WSN
    3. life detection
    4. post disaster
    5. trapped life

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    Funding Sources

    • ITRA

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    ICDCN '19
    Sponsor:
    • SIGOPS
    • Indian Institute of Science

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