Mobile Application for Emergency Navigation During Disaster Using Wireless Sensor Network
Advances in Wireless Communications and Networks
Volume 4, Issue 1, June 2018, Pages: 1-4
Received: May 2, 2018; Accepted: May 30, 2018; Published: Jun. 19, 2018
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Authors
Rahul Krishnan, Department of Electronics and Communication Engineering, Rajalakshmi Institute of Technology, Chennai, India
Kannan G., Department of Electronics and Communication Engineering, Rajalakshmi Institute of Technology, Chennai, India
Mathibala G., Department of Electronics and Communication Engineering, Rajalakshmi Institute of Technology, Chennai, India
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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.
Keywords
Wireless Sensor Network, Personal Digital Assistant, Emergency Navigation, Throughput
To cite this article
Rahul Krishnan, Kannan G., Mathibala G., Mobile Application for Emergency Navigation During Disaster Using Wireless Sensor Network, Advances in Wireless Communications and Networks. Vol. 4, No. 1, 2018, pp. 1-4. doi: 10.11648/j.awcn.20180401.11
Copyright
Copyright © 2018 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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.
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