Computing Reliability and Message Delay for Cooperative Wireless Distributed Sensor Networks Subject to Random Failures

AboElFotoh, Hosam M. F.; Iyengar, S. Sitharama; Chakrabarty, Krishnendu

doi:10.1109/tr.2004.842540

Cited by 136 publications

(61 citation statements)

References 21 publications

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“…For the event-to-sink protocols, we compare their reliability corresponding to the number of source nodes. Figure 7 shows the impact of the number of retransmissions on the reliability of RMST using Equation (2). We investigated the number of retransmissions by fixing the routing and MLD reliability at different levels.…”

Section: Discussionmentioning

confidence: 99%

“…A limited body of work exists for reliability modeling of sensor nodes [4] and especially on the reliability of clustered WSNs [2,13]. The reliability issues in multimodal fusion sensor networks is discussed in [4].…”

Section: Related Workmentioning

confidence: 99%

“…As only sensor reliability is modeled, this work is of complementary value to ours. The authors in [2] proposed an end-to-end reliability measure based solely on the connectivity between sensor nodes, similar to the traditional wired network. In [13] authors have extended this approach by including the reliability for sensing coverage of sensors in the WSN.…”

Section: Related Workmentioning

confidence: 99%

See 2 more Smart Citations

On Modeling the Reliability of Data Transport in Wireless Sensor Networks

Shaikh

Khelil

Suri

2007

15th EUROMICRO International Conference on Parallel, Distributed and Network-Based Processing (PDP'07)

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Section: Discussionmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

See 1 more Smart Citation

On Modeling the Reliability of Data Transport in Wireless Sensor Networks

Shaikh

Khelil

Suri

2007

15th EUROMICRO International Conference on Parallel, Distributed and Network-Based Processing (PDP'07)

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“…k-coverage and k-connectivity reliability can be computed as the product of coverage or connectivity probability of all nodes and links in the path [27,28]. The performance metrics of WSN-Packet delivery ratio [29], message delay [30] with a reasonable overhead (in terms of retransmissions, acknowledgement messages, and control messages) is also measured. For computation of reliability the probability of link existence and failure rate of node are not only considered but also reliability of a node depends on various environmental parameters such as noise, temperature, pressure and magnetic effects are also considered.…”

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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“…A simple implementation of ARQ is represented by the Stop and Wait technique that consists in waiting the acknowledgement of each transmitted packet before www.ijacsa.thesai.org transmitting the next one, and retransmit the same packet in case it is lost or wrongly, received by destination [8].…”

Section: Mobility and Reliabilitymentioning

confidence: 99%

A Neural Approach for Reliable and Fault Tolerant Wireless Sensor Networks

Kumar¹,

Patel²,

Vaid³

2011

IJACSA

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Abstract-This paper presents a neural model for reliable and fault tolerant transmission in Wireless Sensor Networks based on Bi-directional Associative Memory. The proposed model is an attempt to enhance the performances of both the cooperative and non cooperative Automatic Repeat Request (ARQ) schemes in terms of reliability and fault tolerance. We have also demonstrated the performances of both the schemes with the help of suitable examples.

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Computing Reliability and Message Delay for Cooperative Wireless Distributed Sensor Networks Subject to Random Failures

Cited by 136 publications

References 21 publications

On Modeling the Reliability of Data Transport in Wireless Sensor Networks

On Modeling the Reliability of Data Transport in Wireless Sensor Networks

A Survey on Modeling and Enhancing Reliability of Wireless Sensor Network

A Neural Approach for Reliable and Fault Tolerant Wireless Sensor Networks

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