NDLI: An Efficient Algorithm to Detect Faulty Reading in Wireless Sensor Network Using the Concept of Reputation

Content Provider	IEEE Xplore Digital Library
Author	Taghikhaki, Z. Sharifi, M.
Copyright Year	2008
Description	Author affiliation: Comput. Eng. Dept., Iran Univ. of Sci. & Technol., Tehran, Iran (Taghikhaki, Z.; Sharifi, M.)
Abstract	This paper presents a novel approach for detecting faulty sensors as well as identifying the type of faults with a high degree of confidence using reputation concepts and introducing special nodes as beacon nodes to the network and with very low false alarm rate. Our algorithm is purely localized and thus scales well to large sensor networks as well as being efficient with respect to the amount of generated traffic and resource usage. The computational overhead for a sensor is low, since only simple operations are involved in each sensor node and main tasks are done in beacon nodes which have a lot of resources and number of them is low. The complexity of the algorithm is very low and the probability of correct diagnosis is very high even in the existence of large fault sets. Simulation results show the algorithm can clearly identify the faulty sensors with high degree of trust and low communications for sensors.
Starting Page	969
Ending Page	974
File Size	406333
Page Count	6
File Format	PDF
ISBN	9780769535142
DOI	10.1109/CIMCA.2008.194
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-12-10
Publisher Place	Austria
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Fault diagnosis Wireless sensor networks Reputation-Fault detection-Wireless sensor network Costs Event detection Fault detection Bayesian methods Computational modeling Clustering algorithms Telecommunication traffic Computer networks
Content Type	Text
Resource Type	Article

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