Wireless sensor networks: a survey
Computer Networks: The International Journal of Computer and Telecommunications Networking
IEEE Transactions on Computers
Fault management in event-driven wireless sensor networks
MSWiM '04 Proceedings of the 7th ACM international symposium on Modeling, analysis and simulation of wireless and mobile systems
On Distributed Fault-Tolerant Detection in Wireless Sensor Networks
IEEE Transactions on Computers
Distributed fault detection of wireless sensor networks
DIWANS '06 Proceedings of the 2006 workshop on Dependability issues in wireless ad hoc networks and sensor networks
Proceedings of the 9th ACM international symposium on Modeling analysis and simulation of wireless and mobile systems
Malicious Node Detection in Wireless Sensor Networks Using an Autoregression Technique
ICNS '07 Proceedings of the Third International Conference on Networking and Services
Fault detection of wireless sensor networks
Computer Communications
A survey on wireless sensor networks deployment
WSEAS TRANSACTIONS on COMMUNICATIONS
Data fusion and topology control in wireless sensor networks
ELECTROSCIENCE'07 Proceedings of the 5th conference on Applied electromagnetics, wireless and optical communications
Fault management in wireless sensor networks
IEEE Wireless Communications
WSEAS TRANSACTIONS on COMMUNICATIONS
WSEAS TRANSACTIONS on COMMUNICATIONS
CONTROL'10 Proceedings of the 6th WSEAS international conference on Dynamical systems and control
WSEAS Transactions on Computers
Online Distributed Fault Diagnosis in Wireless Sensor Networks
Wireless Personal Communications: An International Journal
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This paper presents a distributed adaptive scheme for detecting faults in wireless sensor networks. Each sensor nodes makes a local decision based on the comparisons of its own readings with those of neighbors, along with the dissemination of the decision to them, if necessary. At the end of each fault detection cycle, each node dynamically adjusts critical parameters in the distributed fault detection algorithm, such as node degree and thresholds, resulting in high performance for a wide range of fault probabilities. By extensive computer simulation the scheme is shown to be scalable with the number of faulty sensor nodes except for sparse networks where the average node degree is extremely low.