NDLI: Fault Estimation and Fault Map Construction on Cluster-based Wireless Sensor Network

Content Provider	IEEE Xplore Digital Library
Author	Yue-Shan Chang Tong-Ying Juang Chih-Jen Lo Ming-Tsung Hsu Jiun-Hua Huang
Copyright Year	2006
Description	Author affiliation: Dept. of CSIE, Nat. Taipei Univ. (Yue-Shan Chang; Tong-Ying Juang)
Abstract	Most applications of wireless sensor networks (WSNs) the sensors are deployed on unfavorable environment such as chemical reactor or battlefield that with high temperature, noise, and interference, could probably incur sensor nodes sense, compute, or communicate improperly. Those also raise error responds to the data collectors. In this paper, a fault estimation model is proposed and can be used to construct the fault map which can be used in WSNs widely, especially in hostile environments. Sensor nodes are transmitting environmental data when it detected with some extra sensed data, such as outward temperature and noise. The fault probability can be estimated and recognized with this extra information using Bayesian belief network (BBN). In this paper, we develop a fault-estimation algorithm is based on the cluster-based framework and show how this model works to find out the probably faulty nodes. Then we simulate and construct the fault map of WSNs
Sponsorship	IEEE Comput. Soc
Starting Page	14
Ending Page	19
File Size	249462
Page Count	6
File Format	PDF
ISBN	0769525539
DOI	10.1109/SUTC.2006.66
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-06-05
Publisher Place	Taiwan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Temperature sensors Wireless sensor networks Chemical sensors Temperature distribution Military computing Working environment noise Bayesian methods Interference Computer networks Chemical reactors
Content Type	Text
Resource Type	Article

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