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Cluster Computing

, Volume 22, Supplement 5, pp 11227–11236 | Cite as

Optimized multiple existence for pedestrian evacuation using geographic map-based path discovery

  • V. KarthikEmail author
  • S. Suja
Article
  • 94 Downloads

Abstract

Wireless Sensor Network (WSN) is an emerging technology that will provide the information’s to human by ubiquitous communication by sensing, through which people can safely evacuate during a building under threat. Even though these technologies are used real time environment it lacks in providing the quickest and shortest path to an exit for people based on the evacuation time. To aid the lacking this proposes provides optimized path control for pedestrian’s emigration by frequent updating of location. The proposed framework is designed with two algorithms (a) Markov decision process which is used to track the location of pedestrian and (b) geographic map-based path discovery approach which will find the shortest path of pedestrians. The main aim of this approach is used to collect the accurate information and avoid heavy congestion during the pedestrian discharge. These techniques are used for effective discharge of pedestrians during the natural disaster. The performance of proposed work provides the better result in terms of packet delivery rate and overhead.

Keywords

Wireless sensor network Pedestrian kinematics Cluster tree topology Markov decision process Geographic map-based path discovery (GMPD) 

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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2017

Authors and Affiliations

  1. 1.Department of ECESri Krishna College of Engineering and TechnologyCoimbatoreIndia
  2. 2.Department of EEECoimbatore Institute of TechnologyCoimbatoreIndia

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