2017
DOI: 10.1016/j.jnca.2016.10.019
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An analysis of fault detection strategies in wireless sensor networks

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Cited by 164 publications
(84 citation statements)
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“…By taking advantages of the abound subsystems, WSN can tolerate partial failure of subsystems and loss of data [153]. Whereas CPS is location-aware and individual-sensitive, the data in each location is unique and may be irreplaceable to decision making, using the approximate value from neighbors will decrease the fitness of decision and increase the risk of failure.…”
Section: Modern Methods For Fault Tolerancementioning
confidence: 99%
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“…By taking advantages of the abound subsystems, WSN can tolerate partial failure of subsystems and loss of data [153]. Whereas CPS is location-aware and individual-sensitive, the data in each location is unique and may be irreplaceable to decision making, using the approximate value from neighbors will decrease the fitness of decision and increase the risk of failure.…”
Section: Modern Methods For Fault Tolerancementioning
confidence: 99%
“…Thaha M. et al surveyed the fault detection algorithms in WSN and performed a qualitative comparison of the latest fault detection researches including centralized, distributed and hybrid algorithms and analyzed the shortcomings, advantages of those algorithms. From the data-centric perspective, the authors took 7 types of faults into account which include offset fault, gain fault, stuck-at fault, out of bounds fault, spike faults, data loss faults and aggregation/fusion error [153]. Samira C. et al reviewed the fault tolerance methods at different WSN levels and classified these methods into 4 categories: power management, flow management, data management, and coverage/connectivity [154].…”
Section: The Traditional Dependability Means and Vandvmentioning
confidence: 99%
“…The work given in [12] describes the different fault detection techniques and provides a new taxonomy to integrate new fault detection techniques. Also discusses the shortcomings, advantages and future research directions or fault detection in wireless sensor networks.…”
Section: Related Workmentioning
confidence: 99%
“…37 Transient faults are temporary faults that occur in certain conditions such as network congestion and bad weather. 37 Transient faults are temporary faults that occur in certain conditions such as network congestion and bad weather.…”
Section: Related Workmentioning
confidence: 99%
“…(1) persistent faults and (2) transient faults. 37 Transient faults are temporary faults that occur in certain conditions such as network congestion and bad weather. Techniques for detecting transient faults are discussed in other works 38,39 and are generally based on the checkpoint-recovery strategy.…”
Section: Related Workmentioning
confidence: 99%