Self-Managed Fault Management in Wireless Sensor Networks

Yu, Mengjie; Mokhtar, Hala; Merabti, Madjid

doi:10.1109/ubicomm.2008.62

Cited by 14 publications

(7 citation statements)

References 12 publications

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“…The proposed plot offers profoundly dependable fault recognition, with negligible system overhead. Be that as it may, there is no difference in failure node increment when time utilization does not have enormous distinction [22] Introduced a various structure to appropriately convey fault administration assignments amid sensor hubs by presenting more 'self-overseeing' capacities. Moreover, they too consider a substitute answer for self-reconfigure blame management capacity of sensor hubs adjusting to different framework necessities.…”

Section: Related Workmentioning

confidence: 99%

“…In [14], traffic overhead of traffic results higher energy utilization, which leads to depletion of battery life time. In [22], in any case, the viability of fault identification is decreased. In [21], fault discovery rate is diminished of the likelihood based fault location systems thought about with other basic sensor systems.…”

Section: Assumptions and Network Modelmentioning

confidence: 99%

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Emergency Node Based Fault Tolerance in Wireless Sensor Networks

Gobinath¹,

Tamilarasi²

2018

IJET

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In Wireless Sensor Network (WSN), fault occur due to node failure, malicious attack and link failure. Link failure causes the loss of sensitive data in a network leads to the emergency situation and influence generated and incoming data resulting in high probability of erroneous data, false packet transmission, wrong decision making and rigorous communication interruption. It leads to increase of traffic overhead and faulty node count in the network. In order to avoid this problem Emergency Node(EN) based process is proposed. Simulation clearly shows that the proposed method increased the packet delivery ratio and decreased the average delay, Energy consumption in WSN.

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Section: Related Workmentioning

confidence: 99%

Section: Assumptions and Network Modelmentioning

confidence: 99%

Emergency Node Based Fault Tolerance in Wireless Sensor Networks

Gobinath¹,

Tamilarasi²

2018

IJET

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“…Mengjie Yu et al [17] have proposed a hierarchical structure to properly distribute fault management tasks among sensor nodes by introducing more ‘self‐managing’ functions. In addition, they also consider an alternate solution to self‐reconfigure fault management function of sensor nodes adapting to various system requirements, such as replacement of a faulty node.…”

Section: Literature Reviewmentioning

confidence: 99%

“…In [16], however there is traffic overhead which causes higher energy consumption, which in turn leads to shorter battery life. In [17], however, the effectiveness of fault detection (such as response delay) is consequently reduced. In [12], the fault detection rate of the probability‐based fault detection networks is decreased compared with other simple sensor networks.…”

Section: Literature Reviewmentioning

confidence: 99%

Genetic algorithm based fault tolerant clustering in wireless sensor network

Rajeswari

Neduncheliyan

2017

IET Communications

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“…A number of models have been presented for detection and recovery from data faults in WSNS-for example [84][85][86][87]. In this paper we propose a model for detection and recovery from execution faults, designed for use in an autonomous software/configuration update environment: WSN Update Fault Detection and Recovery (WSN-UFDR) shown in Figure 6.…”

Section: Update Fault Detection and Recoverymentioning

confidence: 99%

Software Updating in Wireless Sensor Networks: A Survey and Lacunae

Brown

Sreenan

2013

JSAN

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Wireless Sensor Networks are moving out of the laboratory and into the field. For a number of reasons there is often a need to update sensor node software, or node configuration, after deployment. The need for over-the-air updates is driven both by the scale of deployments, and by the remoteness and inaccessibility of sensor nodes. This need has been recognized since the early days of sensor networks, and research results from the related areas of mobile networking and distributed systems have been applied to this area. In order to avoid any manual intervention, the update process needs to be autonomous. This paper presents a comprehensive survey of software updating in Wireless Sensor Networks, and analyses the features required to make these updates autonomous. A new taxonomy of software update features and a new model for fault detection and recovery are presented. The paper concludes by identifying the lacunae relating to autonomous software updates, providing direction for future research

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Self-Managed Fault Management in Wireless Sensor Networks

Cited by 14 publications

References 12 publications

Emergency Node Based Fault Tolerance in Wireless Sensor Networks

Emergency Node Based Fault Tolerance in Wireless Sensor Networks

Genetic algorithm based fault tolerant clustering in wireless sensor network

Software Updating in Wireless Sensor Networks: A Survey and Lacunae

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