A Survey on Modeling and Enhancing Reliability of Wireless Sensor Network

Venkatesan, Latha; Shanmugavel, S.; Subramaniam, Chandrasekaran

doi:10.4236/wsn.2013.53006

Cited by 41 publications

(24 citation statements)

References 37 publications

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“…It is important to note that the paper is unique compared to the existing surveys and tutorials on reliability analysis [28,29,30,7] due to its exclusive focus on reliability modeling and analysis in communication networks. Moreover, to the best of our knowledge, there is no study available that characterizes the reliability analysis methods and also considers the recent trend of using formal methods for reliability analysis.…”

Section: Contributions and Organization Of This Papermentioning

confidence: 99%

Reliability modeling and analysis of communication networks

Ahmed

Hasan

Pervez

et al. 2017

Journal of Network and Computer Applications

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In recent times, the functioning of various aspects of modern society-ranging from the various infrastructural utilities such as electrical power, water to socio-economical aspects such as telecommunications, business, commerce, education-has become critically reliant on communication networks, and particularly on the Internet. With the migration of critical facilities to the Internet, it has become vitally important to ensure the reliability and availability of networks. In this paper, we study various modeling and analysis techniques that can aid in the study of reliability of communication networks. In this regard, we provide background on the modeling techniques (such as reliability block diagrams, fault trees, Markov chains, etc.) and analysis techniques (such as mathematical analytical methods, simulation methods, and formal methods). Apart from providing the necessary background, we also critically evaluate the pros and cons of different approaches, and provide a detailed survey of their applications in communication networks. To the best of our knowledge, this is the first in-depth review of the application of reliability modeling and analysis techniques in communication networks. work, the ability of a network to maintain an acceptable reliability level under extreme environmental conditions and assess the impact of design changes on the reliability of the overall network [17]. Similarly, the availability prediction allows us to evaluate various maintenance design options to achieve the desired availability of the network [18].The qualitative and quantitative reliability analysis requires the selection of an appropriate mathematical modeling and analysis technique. The modeling technique must be able to effectively capture the important parameters of the real system and the analysis technique should be capable of providing insights into the system behavior without running (or executing) the real system. There are numerous techniques that can provide analysis in the early phase, when only initial details are available of the design, and there are other techniques that cater the analysis of the later design phases, when more precise implementation details are available [16]. Some of the most widely used formalisms/techniques for modeling reliability and availability of communication networks are: Reliability Block Diagram (RBD) [19], Fault Tree (FT) [20], and Markov Chain (MC) [21]. Traditionally, the models developed using these techniques are analyzed using analytical methods or simulation tools.Recently, the computer networks community has shown great interest in the utilization of formal methods [22] as a reliability analysis technique for communication networks. Formal methods use mathematical logic to precisely model the system's intended behavior and deploy mathematical reasoning to construct an irrefutable proof that the given system satisfies its requirements. This kind of mathematical modeling and analysis makes formal methods an accurate and rigorous analysis method compared to the traditional a...

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Section: Contributions and Organization Of This Papermentioning

confidence: 99%

Reliability modeling and analysis of communication networks

Ahmed

Hasan

Pervez

et al. 2017

Journal of Network and Computer Applications

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“…For further details concerning the definition of WSN reliability and its calculation, a survey developed by Venkatesan et al can be consulted. In our study, a Monte Carlo simulation was used, as sensor reliability is difficult to assess analytically while taking energy consumption into account (discussed further in Section 6.2).…”

Section: State Of the Artmentioning

confidence: 99%

Photovoltaics in the assessment of wireless sensor network reliability with changing environmental conditions

Kassan

Châtelet

2017

Quality & Reliability Eng

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This paper presents a reliability assessment of a wireless sensor network (WSN) equipped with mini photovoltaic cells (PV-WSN) under natural environmental conditions while accounting for different types of system failures. In particular, our assessment considers the hardware specifications of the sensors, photovoltaic (PV) specifications, the use of rechargeable batteries, communication protocols, and various elements required for efficient detection of environmental conditions. We accomplished this by developing a simulator that generated data for 2 broad WSN conditions: (1) WSN without PV and (2) WSN with PV. The dynamic source routing protocol was employed for these simulations, and the following variables were assessed for both conditions: WSN reliability, the impact of energy consumption on the network, and the types of failures that lead to sensor unavailability. The following assumptions were made to run the simulation: the distribution of WSN nodes is random, with 1 sink node per rectangular cluster, the sensor nodes are structurally and functionally identical, environmental interference and suboptimal orientation impair PV cell recharge capacity randomly, and no communication loss occurs. Our reliability assessment assumed extreme environmental conditions and further made assessments of component reliability that included the following parameters: sensor and PV cell hardware specifications, the rechargeable nature of PV cell batteries for different sensor activity states, the availability of sunlight for powering PV cells, and the energy efficiency of PV cells. We found that network lifetime was prolonged for the PV-WSN condition over the WSN without PV condition, introducing a role for PV cells as potential energy sources for WSNs.

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“…A secondary concern regarding such method the applicability of the failure rates (i.e., mean time between failures) in operational environment. In traditional systems the failure rate data used in the predictions are often collected by pooling the failure data of generic set of equipment and parts [28] [29][31] [32]. For instance, the failure data in [30] were derived from conducting stress testing of "representative" parts to failure to derive the MTBF (Mean Time Between Failures).…”

Section: System Description and Implementation Of Proposed Systemmentioning

confidence: 99%

Analysis of the development of smart sensors based on MEMS devices and smart sensor platform proposal

Leal

Castillo

López

et al. 2016

2016 IEEE International Engineering Summit, II Cumbre Internacional De Las Ingenierias (IE-Summit)

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In this paper we present the state of the art in the development of smart sensors based on MEMS (Micro-Electro-Mechanical Systems), where we will explain its evolution from the beginning until the latest generation of smart sensors, deepening in architecture and operational philosophy. It also presents an analysis of the future prospects of the new designs that could satisfy the demands of the current and future markets. We aim to provide an overview describing their development and the way in which it will increase the capabilities of many control and instrumentation systems, allowing you to convert a passive sensor into an smart sensor. We will consider the most important features that should have in the future to be used in the automotive industry, communications, military, medical, environmental and consumer electronics products. It is also proposed the development of a platform based on a microcontroller with an algorithm to estimate the reliability in real time of MEMS sensors.

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A Survey on Modeling and Enhancing Reliability of Wireless Sensor Network

Cited by 41 publications

References 37 publications

Reliability modeling and analysis of communication networks

Reliability modeling and analysis of communication networks

Photovoltaics in the assessment of wireless sensor network reliability with changing environmental conditions

Analysis of the development of smart sensors based on MEMS devices and smart sensor platform proposal

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