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A SURVEY ON EVENT DETECTION IN WIRELESS SENSOR NETWORKS FOR DISASTER MANAGEMENT

Sri Vasavi College, Erode Self-Finance Wing, 3rd February 2017. National Conference on Computer and Communication, NCCC’17. International Journal of Computer Science (IJCS) Published by SK Research Group of Companies (SKRGC)

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Abstract

Wireless Sensor network is having tremendous growth in current world due to low cost sensor and well planned techniques. Wireless sensor networks (WSNs) have become mature enough to go beyond being simple fine-grained continuous monitoring platforms and become one of the enabling technologies for disaster early-warning systems. This technology can be used to detect the particular event which can be helpful to manage the disaster. Until now various techniques of event detection have come forward and effectively contributed to manage the disaster. In this paper, we introduce ML (Machine Learning) techniques for distributed event detection in WSNs and evaluate their performance and applicability for early detection of disasters, specifically residential fires. To this end, we present a distributed event detection approach incorporating a novel reputation-based voting and the decision tree to evaluate its performance in terms of detection accuracy and time complexity.

References

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Keywords

Disaster Early Warning Systems, Event Detection, Sensor Networks

Image
  • Format Volume 5, Issue 1, No 13, 2017
  • Copyright All Rights Reserved ©2017
  • Year of Publication 2017
  • Author S.Dhivya, Mrs.Dr.P.Sumitra,
  • Reference IJCS-216
  • Page No 1348-1353

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