Reliable computer systems (2nd ed.): design and evaluation
Reliable computer systems (2nd ed.): design and evaluation
Computer networks (3rd ed.)
The Byzantine Generals Problem
ACM Transactions on Programming Languages and Systems (TOPLAS)
Highly-resilient, energy-efficient multipath routing in wireless sensor networks
ACM SIGMOBILE Mobile Computing and Communications Review
A Versatile Architecture for the Distributed Sensor Integration Problem
IEEE Transactions on Computers
Grid Coverage for Surveillance and Target Location in Distributed Sensor Networks
IEEE Transactions on Computers
Directed diffusion for wireless sensor networking
IEEE/ACM Transactions on Networking (TON)
Weighted voting for replicated data
SOSP '79 Proceedings of the seventh ACM symposium on Operating systems principles
Energy-Efficient Communication Protocol for Wireless Microsensor Networks
HICSS '00 Proceedings of the 33rd Hawaii International Conference on System Sciences-Volume 8 - Volume 8
A routing protocol for finding two node-disjoint paths in computer networks
ICNP '95 Proceedings of the 1995 International Conference on Network Protocols
Fault Tolerance in Collaborative Sensor Networks for Target Detection
IEEE Transactions on Computers
IEEE Transactions on Computers
Dynamic route switching protocol in mobile ad hoc networks
International Journal of Ad Hoc and Ubiquitous Computing
IEEE Communications Magazine
Crash faults identification in wireless sensor networks
Computer Communications
Detecting Sybil attacks in Wireless Sensor Networks using neighboring information
Computer Networks: The International Journal of Computer and Telecommunications Networking
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Most fault-tolerant schemes for wireless sensor networks focus on power failures or crash faults. Little attention has been paid to the data inconsistency failures which occur when the binary contents of a data packet are changed during processing. In this event, a faulty node may produce incorrect data and transmit them to other sensors. Hence, erroneous results are propagated throughout the entire network and the sink may make inappropriate decisions as a result. Accordingly, this study proposes a mechanism which can both tolerate and locate data inconsistency failures in sensor networks. Node-disjoint paths and an automatic diagnosis scheme are utilized to identify the faulty sensor nodes. The proposed mechanism was implemented with the ns-2 simulator. The evaluation results demonstrate the ability of the mechanism to identify faulty nodes efficiently and with limited overheads. Using the scheme, more than 99.99% of the inconsistent data packets were successfully detected by the sink.