Poster abstract: online data cleaning in wireless sensor networks
Proceedings of the 1st international conference on Embedded networked sensor systems
Fault Tolerance in Collaborative Sensor Networks for Target Detection
IEEE Transactions on Computers
IEEE Transactions on Computers
TIBFIT: Trust Index Based Fault Tolerance for Arbitrary Data Faults in Sensor Networks
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Random hyperplane projection using derived dimensions
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Data & Knowledge Engineering
Distributed similarity estimation using derived dimensions
The VLDB Journal — The International Journal on Very Large Data Bases
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Journal of Network and Computer Applications
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Wireless Personal Communications: An International Journal
In-network approximate computation of outliers with quality guarantees
Information Systems
Management and applications of trust in Wireless Sensor Networks: A survey
Journal of Computer and System Sciences
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In this paper, the problem of determining faulty readings in a wireless sensor network without compromising detection of important events is studied. By exploring correlations between readings of sensors, a correlation network is built based on similarity between readings of two sensors. By exploring Markov Chain in the network, a mechanism for rating sensors in terms of the correlation, called SensorRank, is developed. In light of SensorRank, an efficient in-network voting algorithm, called TrustVoting, is proposed to determine faulty sensor readings. Performance studies are conducted via simulation. Experimental results show that the proposed algorithm outperforms majority voting and distance weighted voting, two state-of-the-art approaches for in-network faulty reading detection.