Round Trip Delay Time as a Linear Function of Distance Between the Sensor Nodes in Wireless Sensor Network

Duche, Ravindra Navanath; Sarwade, Nisha

doi:10.7323/ijeset/v1_i2_3

Cited by 7 publications

(5 citation statements)

References 9 publications

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“…In the proposed system, discrete RTP is formed from the circular topology and Round Trip Delay (RTD) time for each discrete RTP is calculated. In a Linear RTP, the number of sensors is equal to RTP and it will increase the analysis time [3,6]. Hence optimization is required which can be obtained by preferring discrete RTP which will reduce the analysis time.…”

Section: Round Trip Delaymentioning

confidence: 99%

“…Fault detection by analyzing RTD times of maximum numbers of RTPs will require substantial time and can affect the performance. Therefore essential numbers of RTPs has to be selected for comparison purpose [6]. Optimization of RTPs can be done as explained below:…”

Section: Optimization Of Round Trip Pathsmentioning

confidence: 99%

“…The algorithm used for finding the faulty node in a network is based on two factors: discrete RTP's and threshold value of the RTD time [3,6]. RTD time is measured using the discrete RTP for the whole network by incrementing the sink value.…”

Section: Algorithm To Detect Faulty Sensor Nodementioning

confidence: 99%

“…s1-s2-s3-s1). [6] The instantaneous round trip delay (RTD) time of this path is calculated by using the equation: τRTD = {τ(1,2)+τ(2,3)+τ(3,1)} [7] Confidence factor of respective path is calculated by using following condition ΔRTD = { 1, < − 0, otherwise [8] Go to step 3, decrement the counter for RTD path and repeat till step 6 to determine the confidence factor of all paths in the WSN.…”

Section: B Confidence Factormentioning

confidence: 99%

See 3 more Smart Citations

Heuristic Approach for Discovery and Recovery of Faulty Node in Wireless Sensor Networks

Gayathri¹,

Divya²

2015

IJERT

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Wireless Sensor Networks (WSN) is one of high technology domains with large number of applications in various disciplines. WSN must need to provide a guaranteed Quality of Service (QOS) in real time application. To increase QOS large number of portable sensor nodes are deployed. These QOS get reduced because of increase in the failure of a sensor node due to battery failure, environmental effects, hardware and software malfunctions. So a novel approach is introduced for determining specific discrete Round Trip Path (RTP) which will improve the efficiency by enabling parallel analysis of such RTPs. During data analysis, the data will be excluded not only from faulty node but also from malfunction node. After detecting the faulty node it should be removed or replaced by nodes within the network. This will improve the QOS of the whole network. Also this proposed method is implemented to other topologies in this paper. The feasibility of the design has been proved by NS2 simulation.

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Section: Round Trip Delaymentioning

confidence: 99%

Section: Optimization Of Round Trip Pathsmentioning

confidence: 99%

Section: Algorithm To Detect Faulty Sensor Nodementioning

confidence: 99%

Section: B Confidence Factormentioning

confidence: 99%

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Heuristic Approach for Discovery and Recovery of Faulty Node in Wireless Sensor Networks

Gayathri¹,

Divya²

2015

IJERT

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“…This method detected the failure in SN for symmetrical network conditions. In this way it helps to detect failed or malfunctioning sensor, which can be used to get correct data in WSN or the exact SN can be repaired or working status (health) of the WSN can be checked [9].…”

Section: International Journal Of Computer Applications (0975 -8887) mentioning

confidence: 99%

MDFD and DFD Methods to detect Failed Sensor Nodes in Wireless Sensor Network

Mezaal¹,

Kadhim²

2015

IJCA

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Wireless Sensor Network (WSN) contains many low cost and low power sensor nodes (SNs), these nodes may fail to communicate with each other according to some reasons such as battery lifetime or uncontrolled events which will lead to partition the network and reduce the Quality of Service (QoS) as well as the reliability and efficiency of the whole network. The motivation of this paper is detecting these malfunctions using Distributed Fault Detection (DFD) method considered with random proposed network model. Then a modification on DFD method (MDFD) proposed to enhance the efficiency and the reliability of the whole network and handling the error occurred with DFD method. The two methods analyzed and tested using MATLAB ® and they must applied with homogeneous WSNs only that contain only one type of sensors, percentage error of DFD method was about 25% (for three SNs) due to its algorithm limitations in using only half of the neighbor SNs, this percentage error reduced in MDFD method in which all neighbor SNs considered to detect the failed SN reaching full detection accuracy but with latency tradeoff.

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Determining Relative Localization for 1-D Wireless Sensor Networks Based on Round-Trip Time

Tian¹,

Chen²

2019

2019 IEEE International Conference on Industrial Internet (ICII)

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Round Trip Delay Time as a Linear Function of Distance Between the Sensor Nodes in Wireless Sensor Network

Abstract: ABSTRACT

Cited by 7 publications

References 9 publications

Heuristic Approach for Discovery and Recovery of Faulty Node in Wireless Sensor Networks

Heuristic Approach for Discovery and Recovery of Faulty Node in Wireless Sensor Networks

MDFD and DFD Methods to detect Failed Sensor Nodes in Wireless Sensor Network

Determining Relative Localization for 1-D Wireless Sensor Networks Based on Round-Trip Time

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