Sensor Node Failure Detection Based on Round Trip Delay and Paths in WSNs

Duche, Ravindra Navanath; Sarwade, Nisha

doi:10.1109/jsen.2013.2284796

Cited by 42 publications

(15 citation statements)

References 10 publications

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“…This method uses a group of two or three nodes. Every node calculates RTD time and compares with certain threshold time to detect failed or malfunctioning sensor node [6].…”

Section: Node Failure Detection Methodsmentioning

confidence: 99%

Dual hop multicast ping method for node failure detection in ZigBee loop network

Rosyidi

Pradityo

Gunawan

et al. 2014

2014 International Conference on Information Technology Systems and Innovation (ICITSI)

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This paper reviews node failure detection method in ZigBee loop network. ZigBee network was popularly used for low power and low cost implementation of wireless data transmission. Node failure detection is needed in order to maintain the network reliability. Common node failure detection methods are based on ZigBee mesh networking capability. But in many application areas which have simple loop topology, ZigBee will not get much benefit from its mesh networking capability. We propose a multicast ping with dual hop grouping for failure detection and protection in ZigBee loop network, in order to give simple node management, efficient processing resource, and uniform firmware implementation. This method has been simulated in Network Simulator (NS2) tools. The result has validated that dual hop multicast ping method can be used in ZigBee loop network for accurate node failure detection. The simulation shows that the implementation of method also increases average end-to-end delay from 0.06 second to 0.08 second as trade off to network performance.

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“…This method uses a group of two or three nodes. Every node calculates RTD time and compares with certain threshold time to detect failed or malfunctioning sensor node [6].…”

Section: Node Failure Detection Methodsmentioning

confidence: 99%

Dual hop multicast ping method for node failure detection in ZigBee loop network

Rosyidi

Pradityo

Gunawan

et al. 2014

2014 International Conference on Information Technology Systems and Innovation (ICITSI)

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show abstract

“…Topology administration techniques for persevering node failures in WSN [4] focus on network topology management for tolerating/handling node failures in WSNs. Faulty sensor node is recognized by computing the Round Trip Delay (RTD) time of discrete round trip paths and contrasting them with limit esteem (or) threshold value [6].…”

Section: IImentioning

confidence: 99%

An Efficient Self-Reconfiguration and Route Selection for Wireless Sensor Networks

Manivasagam¹,

Ananthan²

2017

IJMSR

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Abstract:The wireless network is one of the most significant purposes behind the accomplishment of long range wireless communication. Frequent link failures are occurred in the sensor organised network due to obstruction, snags, message drop because of node energy depletion; Time to Live (TTL) lapsed and so forth. The total communication gets collapsed if there any lessening in the nature of correspondence or quality between the sensor nodes or from the sensor nodes to the sink nodes and this prompts to connection failures. To overcome the frequent link failures and to provide reliable data communication an Efficient SelfReconfiguration and Route Selection for Wireless Sensor Networks to mitigate link failures is proposed. E-SRRS scheme automatically senses the energy efficient nodes with reliable routes to improve and conserve the network performance. The simulation analysis for E-SRRS and the parameters such as throughput, transmission delay and energy consumption in the network is shown.

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“…The utilization of Round Trip Delay (RTD) provided the accurate measure of confidence factor of RTD path. On the basis of confidence factor, the faulty nodes were detected [12,13]. Lee and Choi [14] presented the distributed fault detection algorithm that identified the faulty sensor nodes on the basis of the comparisons between the neighboring nodes and decision.…”

Section: Related Workmentioning

confidence: 99%