A Cellular Approach to Fault Detection and Recovery in Wireless Sensor Networks

Asim, Muhammad; Mokhtar, Hala; Merabti, M.

doi:10.1109/sensorcomm.2009.61

Cited by 38 publications

(15 citation statements)

References 16 publications

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“…The first set of results (Figure 2(a)) show the rate of consumption of energy in the network. The proposed strategy shows a network life-time increase of 74.8% compared to thatof DFDNM [2] and an increase of 81.2% from the cellular algorithm [5]. The graph corresponding to the proposed strategy does not reach zero, as each of the nodes is declared as faulty when the energy for that node falls below a certain pre-determined threshold.…”

Section: Performance Analysismentioning

confidence: 94%

“…In [4], a localized fault detection strategy is developed, which ensures thenetwork quality of service by detecting the faults and taking the actions to avoid furtherdegradation of the service. In [5] the problem for distributed fault detection and recovery technique in WSNs is addressed. We have developed a strategy to properly classify the faults in a network and relocate the task of a faulty node to a healthy node with optimal parameters if possible.…”

Section: Introductionmentioning

confidence: 99%

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A Novel Fault Detection and Replacement Scheme in WSN

Banerjee

Datta

Pal

et al. 2014

Advances in Intelligent Systems and Computing

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Abstract. Wireless Sensor Network (WSN) is a collection of nodes, which are limited in energy content and interact with each other to complete a job assigned to them. Performance of WSN may degrade because of faulty nodes present in the network. The strategy in the paper discusses about a fault detection technique, which depends upon three components of the node. The strategy exploits a node to the fullest extent possible before declaring it as faulty. Moreover the faulty-node replacement technique replaces a faulty node with a healthy node,based on a regression plain model. Optimal use of sensor node is done by reallocation of jobs of the faulty nodesto the active nodes.

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Section: Performance Analysismentioning

confidence: 94%

Section: Introductionmentioning

confidence: 99%

A Novel Fault Detection and Replacement Scheme in WSN

Banerjee

Datta

Pal

et al. 2014

Advances in Intelligent Systems and Computing

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“…This self-configuring algorithm follows cellular approach [25,26]. In self-detection mechanism, sensor nodes monitor their residual battery energy periodically to identify the probable failure.…”

Section: Existing Self-configuring Algorithmmentioning

confidence: 99%

Energy Efficient Auto–Configurable Algorithm for Wireless Sensor Networks

Uddin

Matin

Foraji

et al. 2015

Journal of Electrical Engineering

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“…The latest information technology has been harnessed to create a safe, comfortable and convenient living environment for ordinary people [15,16]. For instance, the Control4 smart home system can be configured flexibly according to their personal needs [17,18]. In China, however, the smart home industry has just entered the application stage.…”

Section: Introductionmentioning

confidence: 99%

Design of Smart home System Based on Basic Radio Frequency Wireless Sensor Network

Tian

Long

Wen-di³

2018

Int. J. Onl. Eng.

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Abstract-This paper attempts to integrate the wireless sensor network (WSN) into the smart home system. To this end, a smart home system was developed based on the basic radio frequency (RF) WSN. First, the author introduced the architecture, nodes and features of the WSN. Then, the design process of the smart home system was detailed. The hardware of the system consists of such three parts as the master control, wireless transceiver and sensor terminal; the software of the system includes the basic-RF WSN program and the master module STM32 programme. After that, the established system was applied to temperature collection and control. The results show that the collected temperature agreed well with the temperature measured by the thermometer. Finally, the temperature control effect of the system was successfully simulated with a potentiometer and an LED lamp. The research findings shed new light on the design of smart homes.

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A Cellular Approach to Fault Detection and Recovery in Wireless Sensor Networks

Cited by 38 publications

References 16 publications

A Novel Fault Detection and Replacement Scheme in WSN

A Novel Fault Detection and Replacement Scheme in WSN

Energy Efficient Auto–Configurable Algorithm for Wireless Sensor Networks

Design of Smart home System Based on Basic Radio Frequency Wireless Sensor Network

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