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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
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