Reliability Modeling of Context Aware Wireless SensorNetwork

Venkatesan, Latha

doi:10.7763/ijiee.2012.v2.193

Cited by 2 publications

(2 citation statements)

References 6 publications

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“…Common cause failure (CCF) is used in another algorithm [20] for calculating the reliability of WSN by utilizing an ordered binary decision diagram (OBDD). A clear procedure to compute k-coverage and k-connectivity, reliability by multiplication of all edges and vertices present in the network has been covered by [21,22]. Various reliability parameters of WSN reported in the literature have been studied viz.…”

Section: Related Workmentioning

confidence: 99%

Disjoint Spanning Tree Based Reliability Evaluation of Wireless Sensor Network

Lata

Mehfuz

Urooj

2020

Sensors

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Wireless sensor networks (WSNs) are becoming very common in numerous manufacturing industries; especially where it is difficult to connect a sensor to a sink. This is an evolving issue for researchers attempting to contribute to the proliferation of WSNs. Monitoring a WSN depends on the type of collective data the sensor nodes have acquired. It is necessary to quantify the performance of these networks with the help of network reliability measures to ensure the stable operation of WSNs. Reliability plays a key role in the efficacy of any large-scale application of WSNs. The communication reliability in a wireless sensor network is an influential parameter for enhancing network performance for secure, desirable, and successful communication. The reliability of WSNs must incorporate the design variables, coverage, lifetime, and connectivity into consideration; however, connectivity is the most important factor, especially in a harsh environment on a large scale. The proposed algorithm is a one-step approach, which starts with the recognition of a specific spanning tree only. It utilizes all other disjoint spanning trees, which are generated directly in a simple manner and consume less computation time and memory. A binary decision illustration is presented for the enumeration of K-coverage communication reliability. In this paper, the issue of computing minimum spanning trees was addressed and it is a pertinent method for further evaluating reliability for WSNs. This paper inspects the reliability of WSNs and proposes a method for evaluating the flow-oriented reliability of WSNs. Further, a modified approach for the sum-of-disjoint products to determine the reliability of WSN from the enumerated minimal spanning trees is proposed. The proposed algorithm when implemented for different sizes of WSNs demonstrates its applicability to WSNs of various scales. The proposed methodology is less complex and more efficient in terms of reliability.

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Section: Related Workmentioning

confidence: 99%

Disjoint Spanning Tree Based Reliability Evaluation of Wireless Sensor Network

Lata

Mehfuz

Urooj

2020

Sensors

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“…Several techniques available to reduce the structure function and compute the reliability in polynomial time. WSN application for structure health monitoring can represented by a propositional directed acyclic graph (PDAG) through which the reliability is evaluated in three steps [49]. In first step the connectivity information of the network is represented in the matrix form and using LDF algorithm, the structure function is determined.…”

Section: Classification Of Reliability Modeling and Evaluationmentioning

confidence: 99%

A Survey on Modeling and Enhancing Reliability of Wireless Sensor Network

Venkatesan¹,

Shanmugavel²,

Subramaniam³

2013

WSN

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Design of reliable wireless sensor network (WSN) need to address the failure of single or multiple network components and implementation of the techniques to tolerate the faults occurred at various levels. The issues and requirements of reliability improvement mechanism depend on the available resources and application for which the WSN is deployed. This paper discusses the different modeling approaches to evaluate the reliability and classification of the approaches to improve it. Also the paper analyzes reliability enhancement by existing fault tolerant methods in WSN and compares the performance of these techniques with the technique we developed. From the results of the analysis we highlight the challenges and the characteristics of the sensor network affects the reliability and give some scope of future research directions in order to enhance reliability.

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Reliability Modeling of Context Aware Wireless SensorNetwork

Cited by 2 publications

References 6 publications

Disjoint Spanning Tree Based Reliability Evaluation of Wireless Sensor Network

Disjoint Spanning Tree Based Reliability Evaluation of Wireless Sensor Network

A Survey on Modeling and Enhancing Reliability of Wireless Sensor Network

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