Probabilistic fault detector for Wireless Sensor Network

Authors:
Bill C. P. Lau;Eden W. M. Ma;Tommy W. S. Chow
Affiliations:
Centre for Prognostics and System Health Management, City University of Hong Kong, Hong Kong, China;Centre for Prognostics and System Health Management, City University of Hong Kong, Hong Kong, China;Centre for Prognostics and System Health Management, City University of Hong Kong, Hong Kong, China and Department of Electronic Engineering, City University of Hong Kong, Hong Kong, China
Venue:
Expert Systems with Applications: An International Journal
Year:
2014

Citing 11
Cited 0

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Abstract

This paper proposed a novel centralized hardware fault detection approach for a structured Wireless Sensor Network (WSN) based on Naive Bayes framework. For most WSNs, power supply is the main constraint of the network because most applications are in severe situation and the sensors are equipped with battery only. In other words, the battery's life is the network's life. To maximize the network's life, the proposed method, Centralized Naive Bayes Detector (CNBD) analyzes the end-to-end transmission time collected at the sink. Thus all the computation will not be performed in individual sensor node that poses no additional power burden to the battery of each sensor node. We have conducted thorough performance evaluation. The obtained results showed better performance can be obtained under a network size of 100-node WSN simulations at various network traffic conditions and different number of faulty nodes.