Reliability Analysis of Wireless Sensor Networks Using Markovian Model

Joint Authors

Tang, Liang
Zhang, Zhenghuan
Zhu, Jin
Xi, Hong-sheng

Source

Journal of Applied Mathematics

Issue

Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-21, 21 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2012-06-03

Country of Publication

Egypt

No. of Pages

21

Main Subjects

Mathematics

Abstract EN

This paper investigates reliability analysis of wireless sensor networks whose topology is switching among possible connections which are governed by a Markovian chain.

We give the quantized relations between network topology, data acquisition rate, nodes' calculation ability, and network reliability.

By applying Lyapunov method, sufficient conditions of network reliability are proposed for such topology switching networks with constant or varying data acquisition rate.

With the conditions satisfied, the quantity of data transported over wireless network node will not exceed node capacity such that reliability is ensured.

Our theoretical work helps to provide a deeper understanding of real-world wireless sensor networks, which may find its application in the fields of network design and topology control.

American Psychological Association (APA)

Zhu, Jin& Tang, Liang& Xi, Hong-sheng& Zhang, Zhenghuan. 2012. Reliability Analysis of Wireless Sensor Networks Using Markovian Model. Journal of Applied Mathematics،Vol. 2012, no. 2012, pp.1-21.
https://search.emarefa.net/detail/BIM-1028999

Modern Language Association (MLA)

Zhu, Jin…[et al.]. Reliability Analysis of Wireless Sensor Networks Using Markovian Model. Journal of Applied Mathematics No. 2012 (2012), pp.1-21.
https://search.emarefa.net/detail/BIM-1028999

American Medical Association (AMA)

Zhu, Jin& Tang, Liang& Xi, Hong-sheng& Zhang, Zhenghuan. Reliability Analysis of Wireless Sensor Networks Using Markovian Model. Journal of Applied Mathematics. 2012. Vol. 2012, no. 2012, pp.1-21.
https://search.emarefa.net/detail/BIM-1028999

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1028999