Fault detection of wireless sensor networks
Computer Communications
Embedded Software Architecture for Diagnosing Network and Node Failures in Wireless Sensor Networks
SAMOS '08 Proceedings of the 8th international workshop on Embedded Computer Systems: Architectures, Modeling, and Simulation
A distributed adaptive scheme for detecting faults in wireless sensor networks
WSEAS TRANSACTIONS on COMMUNICATIONS
Run time assurance of application-level requirements in wireless sensor networks
Proceedings of the 9th ACM/IEEE International Conference on Information Processing in Sensor Networks
Honey-bee dancing-inspired architecture for fault tolerance in wireless sensor networks
Proceedings of the 12th annual conference on Genetic and evolutionary computation
EURASIP Journal on Wireless Communications and Networking
A message omission failure approach to detect the quality of links in WSN
UCAmI'12 Proceedings of the 6th international conference on Ubiquitous Computing and Ambient Intelligence
Layered Fault Management Scheme for End-to-end Transmission in Internet of Things
Mobile Networks and Applications
Collaborative localization in visual sensor networks
ACM Transactions on Sensor Networks (TOSN)
Probabilistic fault detector for Wireless Sensor Network
Expert Systems with Applications: An International Journal
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Wireless sensor networks (WSNs) have gradually emerged as one of the key growth areas for pervasive computing in the twenty-first century. Recent advances in WSN technologies have made possible the development of new wireless monitoring and environmental control applications. However, the nature of these applications and harsh environments also created significant challenges for sensor networks to maintain a high quality of service in potentially harsh environments. Therefore, efficient fault management and robust management architectures have become essential for WSNs. In this article, we address these challenges by surveying existing fault management approaches for WSNs. We divide the fault management process into three phases: fault detection, diagnosis, and recovery and classify existing approaches according to these phases. Finally, we outline future challenges for fault management in WSNs.