The Byzantine Generals Problem
ACM Transactions on Programming Languages and Systems (TOPLAS)
Distributed Detection and Data Fusion
Distributed Detection and Data Fusion
Efficient tracing of failed nodes in sensor networks
WSNA '02 Proceedings of the 1st ACM international workshop on Wireless sensor networks and applications
Wireless sensor networks: a survey
Computer Networks: The International Journal of Computer and Telecommunications Networking
PEAS: A Robust Energy Conserving Protocol for Long-lived Sensor Networks
ICDCS '03 Proceedings of the 23rd International Conference on Distributed Computing Systems
Fault Tolerance in Collaborative Sensor Networks for Target Detection
IEEE Transactions on Computers
IEEE Transactions on Computers
ASCENT: Adaptive Self-Configuring sEnsor Networks Topologies
IEEE Transactions on Mobile Computing
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
Decentralized energy-conserving and coverage-preserving protocols for wireless sensor networks
ACM Transactions on Sensor Networks (TOSN)
Self-Organizing Sensor Networks for Integrated Target Surveillance
IEEE Transactions on Computers
Optimal bi-level quantization of i.i.d. sensor observations for binary hypothesis testing
IEEE Transactions on Information Theory
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A Wireless Sensor Network (WSN) composed of tiny sensor nodes may operate in an unfavorable terrain. The coupling of inherent limitations and harsh environments makes WSNs fallible. For this reason, reliability becomes one of the most important issues in WSN research. Some of the early work in the field of detection reliability focuses on collaborative effort. Instead of the collaborative work, the sensing improvements are proposed for detection reliability enhancement. Two types of detection models are constructed based on the scenarios of WSN operations for probability decomposition. The fault probability of detection and the probability of detection reliability in WSNs can then be estimated based on the decomposition of probabilities and empirical data. In analyzing the decomposition of probabilities, sensing improvements are shown to enhance detection reliability. An illustrative example is demonstrated to show how detection reliability can be controlled by different sensing improvements in different application situations.