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2017
DOI: 10.1002/qre.2227
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Reliability evaluation for wireless sensor networks with chain structures using the universal generating function

Abstract: In different protocols, wireless sensor networks (WSNs) form different topologies. The reliability evaluation of a WSN whose topology is a chain is studied in this paper. A bidirectional data transmission tree (BDTT) model is established to describe the process of data fusion and transmission on a WSN with a chain structure. From the characteristics of the measurement errors, the number of fusions, and measurement credibility, 3 definitions for the reliability of a BDTT are presented. Based on the universal ge… Show more

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Cited by 5 publications
(4 citation statements)
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References 28 publications
(67 reference statements)
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“…Studies, evaluations, and analyses of WSNs' reliability have been previously carried out in several studies [26,27]. Evaluation of the reliability of a WSN can be conducted utilizing different techniques, of which the most well-known are a universal generating function [28], a Markov model [29], a fault tree [30], and a Monte Carlo simulation [31], where the authors utilized an ordered binary decision diagram (OBDD) beside a Monte Carlo simulation, to evaluate the WSN's reliability. The authors of [32] proposed a Monte Carlo Markov chain simulation method to evaluate the reliability, regarding data capacity and coverage area, of mobile WSNs with multi-state nodes, but the power consumption was not taken into account.…”
Section: Related Workmentioning
confidence: 99%
“…Studies, evaluations, and analyses of WSNs' reliability have been previously carried out in several studies [26,27]. Evaluation of the reliability of a WSN can be conducted utilizing different techniques, of which the most well-known are a universal generating function [28], a Markov model [29], a fault tree [30], and a Monte Carlo simulation [31], where the authors utilized an ordered binary decision diagram (OBDD) beside a Monte Carlo simulation, to evaluate the WSN's reliability. The authors of [32] proposed a Monte Carlo Markov chain simulation method to evaluate the reliability, regarding data capacity and coverage area, of mobile WSNs with multi-state nodes, but the power consumption was not taken into account.…”
Section: Related Workmentioning
confidence: 99%
“…In [33] the reliability and availability of several linear sensor network architectures are compared. In [34] a bidirectional data transmission tree model is used to evaluate the reliability of a WSN with a chain structure. The end-to-end reliability of IoT is also investigated in [35] using a reliability block diagram method.…”
Section: Classification Of Previous Workmentioning
confidence: 99%
“…Based on the system description in Section 2, this paper constructs a generator capacity distribution function and a node demand distribution function using UGF (Lisnianski, 2007;Lisnianski & Ding, 2009;Meena & Vasanthi, 2016;Khorshidi et al, 2016;Liu et al, 2017).…”
Section: Generator Capacity Distribution and Node Demand Distributionmentioning
confidence: 99%