On Modeling the Reliability of Data Transport in Wireless Sensor Networks

Shaikh, Faisal Karim; Khelil, Abdelmajid; Suri, Neeraj

doi:10.1109/pdp.2007.55

Cited by 17 publications

(4 citation statements)

References 17 publications

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“…Binary decision diagram (BDD) [30], logistic regression [31], fault tree [32], factoring method [33], reliability block diagram (RBD) [34] and queuing networks [35,36] are examples of model-driven design, development and maintenance of WSNs.…”

Section: Analytical Modeling Of the Proposed Data Aggregation Methodsmentioning

confidence: 99%

An Efficient Data Aggregation Method for Event-Driven WSNs: A Modeling and Evaluation Approach

Kamarei

Hajimohammadi

Patooghy

et al. 2015

Wireless Pers Commun

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This paper proposes and models an efficient data aggregation method for wireless sensor networks (WSNs). In the proposed data aggregation method, every cluster head (CH) node incorporates a local forwarding history to decide whether to forward or to drop a recently received packet. When a new packet arrives at a CH node, a threshold value is calculated based on the information of the forwarding history; then, a random number is generated and compared with the threshold value to determine whether the packet should be dropped or not. In fact, the CH node forwards the new packet with the probability of 1 -p and drops it with probability of p where the parameter p is determined based on the forwarding history. In order The submitted manuscript is an extended version of the work previously proposed in [1]. The extensions of the current version include: (1) a wide range of simulation experiments added to the current version. To do this the proposed data aggregation method is compared with previously proposed methods i.e., RAG, SPEED, DASDR, and RDAG is terms of network performance, data aggregation rate, event miss rate. The previous version of the paper does not offer any comparison experiments, (2) an analytical performance model is proposed and validated in the paper. The proposed model estimates network performance, data aggregation rate, event miss rate of WSN using the proposed data aggregation method with an acceptable prediction error. The model provides a remarkable speed up in the evaluation process of data aggregation methods in the field of wireless sensor networks.to evaluate the proposed data aggregation method, two approaches consisting of simulation and analytical modeling are used. Various scenarios are considered in simulations conducted with NS2 software to compare the proposed data aggregation method with four previously proposed methods. Results reveal that the proposed method (1) aggregates more than 70 % of redundant packets, (2) reduces the network end-to-end delay by at least 22 %, and (3) reduces the missed event rate compared with the other methods. The proposed method is also evaluated by means of an analytical model based on queuing networks. The model accurately estimates the network performance utilizing the proposed data aggregation method. Comparisons of the results obtained by the proposed model and simulations confirm that the proposed model has at most 7 % prediction error. The proposed model allows WSN designers to easily achieve useful information about their networks before the establishment and manufacturing of the networks.

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Section: Analytical Modeling Of the Proposed Data Aggregation Methodsmentioning

confidence: 99%

An Efficient Data Aggregation Method for Event-Driven WSNs: A Modeling and Evaluation Approach

Kamarei

Hajimohammadi

Patooghy

et al. 2015

Wireless Pers Commun

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“…The blocks in the RBD are arranged in a proper combination of series and parallel or k-out-of-n such a way that illustrates working components that keep the entire system operational. RBD for data transport in the WSN is discussed in [33] the reliability of data transport is modeled. The Fault tree is a pictorial representation of the combination of events that can cause the occurrence of an undesirable event.…”

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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“…Nevertheless their approach is not focused on failures coming from the probabilistic radio link but more on node failures. In [9], the authors present a theoretical framework to compute the reliability of transport protocols in WSNs. This framework uses an elegant block diagram approach and includes several possible faults.…”

Section: Related Workmentioning

confidence: 99%

On the Reliability of Wireless Sensor Networks Communications

Mouradian

Augé-Blum

2013

Ad-Hoc, Mobile, and Wireless Network

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More and more Wireless Sensor Networks (WSNs) applications and protocols are proposed. Notably, critical applications, which must meet time and reliability requirements. Works on the real-time capability of WSNs have been proposed [1]. In this paper we propose to study the achievable reliability of WSNs, tacking into account the probabilistic nature of the radio link. We define the reliability of a WSN to be the probability that an end-to-end communication is successful (i.e. the packet is received by the sink). We propose a theoretical framework inspired by a reference model [5]. We use the framework to derive the reliability of two types of routing schemes: unicast-based and broadcastbased. We show that in the case of broadcast-based, the sink is a reliability bottleneck of the network. We also discuss the impact of the MAC scheme on the reliability.

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On Modeling the Reliability of Data Transport in Wireless Sensor Networks

Abstract: Abstract

Cited by 17 publications

References 17 publications

An Efficient Data Aggregation Method for Event-Driven WSNs: A Modeling and Evaluation Approach

An Efficient Data Aggregation Method for Event-Driven WSNs: A Modeling and Evaluation Approach

A Survey on Modeling and Enhancing Reliability of Wireless Sensor Network

On the Reliability of Wireless Sensor Networks Communications

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