| Peer-Reviewed

Mobile Application for Emergency Navigation During Disaster Using Wireless Sensor Network

Received: 2 May 2018     Accepted: 30 May 2018     Published: 19 June 2018
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Abstract

This Wireless Sensor Network (WSN) is gathering sensor hubs. A huge number of sensor hubs associated with each frame sensor arrange. Sensor hubs ordinarily comprise of radio handset, microcontroller and it is fueled with battery. In this Mobile Environment, the clients are furnished with Personal Digital Assistants (PDA) or advanced cells that can converse with the Sensors effectively. At the point when crisis happens, the WSN gives essential data to clients, So that guided to move out of an unsafe zone through connection with sensors. Remote system sensor joined with a route calculation could encourage securely control individuals to a building exit while helping them evade perilous range. We propose a plain route calculation for crisis circumstance. Clog Adaptive and little extend crisis Navigation calculation with WSNs (CANS) use level set strategy to track the development of the exit and the limit of the perilous territory, so that individuals close-by the risky region accomplish a gentle blockage at the cost of a slight reroute, while individuals inaccessible from the threat evade superfluous alternate routes. Firstly, the route of people looks for a safe-basic way, other than parcel misfortune or vitality productivity which is the primary need as in bundle directing. Besides, human route expends a great deal additional time than customary parcel directing procedure, because of the constrained development speed of individuals. Also, which are basic for a quick clearing, as they primarily concentrate on finding the briefest/most secure way for every individual, while other problematic (yet sheltered) ways are left unused all through a large portion of the departure procedure.

Published in Advances in Wireless Communications and Networks (Volume 4, Issue 1)
DOI 10.11648/j.awcn.20180401.11
Page(s) 1-4
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2018. Published by Science Publishing Group

Keywords

Wireless Sensor Network, Personal Digital Assistant, Emergency Navigation, Throughput

References
[1] Chen Whang, Hongbo Jiang (2015). "SURF: A Connectivity-based Space Filling Curva Construction Algorithum in High Genus 3D Surface WSNs" IEEE Computer Communication Conference (INFOCOM).
[2] Z Li, J Zhang, X Shen (2016). "Prediction based indoor fire escaping routing with wireless sensor network", peer-to-peer networking and application.
[3] Avinaash Ram S. P., Albert Mayan. J, (2015). “Mobile Attendance Management and Employee Registration”, ARPN Journal of Engineering and Applied Sciences, Vol: 10, Issue 8, pp: 3727-3730, ISSN: 1819-6608.
[4] WMYM Bejuri, MM Mohamad, R Zahilah, Raja Mohd Radzi, (2015). "Emergency rescue localization using GPS, wireless LAN and camera", International journal of software engineering, vol. 9. no 9.
[5] Lin Wang, Yuan He, Wenyuan Liu, Nan Jing, Jiliang Wang, Yunhao Liu, (2015). "On oscillation free emergency navigation via wireless sensor networks", IEEE transactions vol. 14, Issue: 10.
[6] Y. Song, B. Wang, Z. Shi, K. Pattipati, and S. Gupta, (2014). "Distributed algorithms for energy-efficient even self-deployment in mobile sensor networks," IEEE Trans. Mobile Compute, vol. 13, no. 5, pp. 1035-1047.
[7] Mianxiong Dong, he Li, Kaoru Ota, Laurence T. Yang, Haojin Zhu, (2014). "Multicloud- Based Evacuation Services for Emergency Management:", IEEE Computer Society.
[8] Jiliang Wang, (2013). "Sensor Network Navigation without Location", IEEE.
[9] Yovan Felix. A, Pamila. A (2016). "Joint threshold administration model in relational databases to enhances the security", International Journal of Control Theory and Applications, Vol 9(12), pp. 5765-5769.
[10] Albert Mayan. J, Dr. T. Ravi, (2015). “Structural Software Testing: Hybrid Algorithm For Optimal Test Sequence Selection During Regression Testing”, International Journal of Engineering and Technology, Vol: 7, Issue:1, pp: 270-279, ISSN: 0975-4024.
[11] Zheng Zhang, Zhenbo Li, Dawei Zhang, Jiapin Chen,(2013). "Path Planning and Navigation for Mobile Robots in a Hybrid Sensor Network without Prior Location Information", SAGE journals.
Cite This Article
  • APA Style

    Rahul Krishnan, Kannan G., Mathibala G. (2018). Mobile Application for Emergency Navigation During Disaster Using Wireless Sensor Network. Advances in Wireless Communications and Networks, 4(1), 1-4. https://doi.org/10.11648/j.awcn.20180401.11

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    ACS Style

    Rahul Krishnan; Kannan G.; Mathibala G. Mobile Application for Emergency Navigation During Disaster Using Wireless Sensor Network. Adv. Wirel. Commun. Netw. 2018, 4(1), 1-4. doi: 10.11648/j.awcn.20180401.11

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    AMA Style

    Rahul Krishnan, Kannan G., Mathibala G. Mobile Application for Emergency Navigation During Disaster Using Wireless Sensor Network. Adv Wirel Commun Netw. 2018;4(1):1-4. doi: 10.11648/j.awcn.20180401.11

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  • @article{10.11648/j.awcn.20180401.11,
      author = {Rahul Krishnan and Kannan G. and Mathibala G.},
      title = {Mobile Application for Emergency Navigation During Disaster Using Wireless Sensor Network},
      journal = {Advances in Wireless Communications and Networks},
      volume = {4},
      number = {1},
      pages = {1-4},
      doi = {10.11648/j.awcn.20180401.11},
      url = {https://doi.org/10.11648/j.awcn.20180401.11},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.awcn.20180401.11},
      abstract = {This Wireless Sensor Network (WSN) is gathering sensor hubs. A huge number of sensor hubs associated with each frame sensor arrange. Sensor hubs ordinarily comprise of radio handset, microcontroller and it is fueled with battery. In this Mobile Environment, the clients are furnished with Personal Digital Assistants (PDA) or advanced cells that can converse with the Sensors effectively. At the point when crisis happens, the WSN gives essential data to clients, So that guided to move out of an unsafe zone through connection with sensors. Remote system sensor joined with a route calculation could encourage securely control individuals to a building exit while helping them evade perilous range. We propose a plain route calculation for crisis circumstance. Clog Adaptive and little extend crisis Navigation calculation with WSNs (CANS) use level set strategy to track the development of the exit and the limit of the perilous territory, so that individuals close-by the risky region accomplish a gentle blockage at the cost of a slight reroute, while individuals inaccessible from the threat evade superfluous alternate routes. Firstly, the route of people looks for a safe-basic way, other than parcel misfortune or vitality productivity which is the primary need as in bundle directing. Besides, human route expends a great deal additional time than customary parcel directing procedure, because of the constrained development speed of individuals. Also, which are basic for a quick clearing, as they primarily concentrate on finding the briefest/most secure way for every individual, while other problematic (yet sheltered) ways are left unused all through a large portion of the departure procedure.},
     year = {2018}
    }
    

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    AB  - This Wireless Sensor Network (WSN) is gathering sensor hubs. A huge number of sensor hubs associated with each frame sensor arrange. Sensor hubs ordinarily comprise of radio handset, microcontroller and it is fueled with battery. In this Mobile Environment, the clients are furnished with Personal Digital Assistants (PDA) or advanced cells that can converse with the Sensors effectively. At the point when crisis happens, the WSN gives essential data to clients, So that guided to move out of an unsafe zone through connection with sensors. Remote system sensor joined with a route calculation could encourage securely control individuals to a building exit while helping them evade perilous range. We propose a plain route calculation for crisis circumstance. Clog Adaptive and little extend crisis Navigation calculation with WSNs (CANS) use level set strategy to track the development of the exit and the limit of the perilous territory, so that individuals close-by the risky region accomplish a gentle blockage at the cost of a slight reroute, while individuals inaccessible from the threat evade superfluous alternate routes. Firstly, the route of people looks for a safe-basic way, other than parcel misfortune or vitality productivity which is the primary need as in bundle directing. Besides, human route expends a great deal additional time than customary parcel directing procedure, because of the constrained development speed of individuals. Also, which are basic for a quick clearing, as they primarily concentrate on finding the briefest/most secure way for every individual, while other problematic (yet sheltered) ways are left unused all through a large portion of the departure procedure.
    VL  - 4
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Author Information
  • Department of Electronics and Communication Engineering, Rajalakshmi Institute of Technology, Chennai, India

  • Department of Electronics and Communication Engineering, Rajalakshmi Institute of Technology, Chennai, India

  • Department of Electronics and Communication Engineering, Rajalakshmi Institute of Technology, Chennai, India

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