Failure detection and recovery in self-healing WSN

Lakshmi, Chaganti B N; Rao, S. Krishna Mohan

doi:10.1504/ijcnds.2018.10015938

Cited by 2 publications

(1 citation statement)

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“…The authors proposed correlation-based failure detection of sensor nodes and a self-healing-based recovery technique. 54 In this approach, the mean value is calculated from the sensor signals to detect the sensor data inconsistency and identify the faulty nodes based on those signals. The self-healing recovery technique is able to recover from the backbone node failure and sentry node failure.…”

Section: Fault Recovery In Wsnmentioning

confidence: 99%

Comprehensive analysis on sensor node fault management schemes in wireless sensor networks

Babu

Kumar

2022

Int J Communication

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Wireless sensor networks (WSNs) are ad hoc networks that consist of tiny sensor nodes deployed in the sensed environment to monitor the natural phenomenon and send the monitored data to the base station for further processing. Due to the unfriendly deployment of the sensor nodes and their resource-constrained nature, the sensor nodes are subjected to frequent node failure. Detecting sensor node failures and recovering them is a major challenge in WSN. Due to the failure of the nodes in WSN, there exist various problems such as a change in the network topology, communication link failure, a disjoint partition of the network, and failure to transmit the data to the sink. Various authors have proposed various techniques to detect and recover from node failure in the WSN. In this paper, a comprehensive analysis of the various node failure and node recovery techniques has been carried out to highlight the advantages and limitations along with the open research challenges for addressing the failure of the nodes in an effective manner.

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Section: Fault Recovery In Wsnmentioning

confidence: 99%