Reliability Analysis of Wireless Sensor Networks Using Markovian Model

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 relia...

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Main Authors: Jin Zhu, Liang Tang, Hongsheng Xi, Zhenghuan Zhang
Format: Article
Language:English
Published: Wiley 2012-01-01
Series:Journal of Applied Mathematics
Online Access:http://dx.doi.org/10.1155/2012/760359
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author Jin Zhu
Liang Tang
Hongsheng Xi
Zhenghuan Zhang
author_facet Jin Zhu
Liang Tang
Hongsheng Xi
Zhenghuan Zhang
author_sort Jin Zhu
collection DOAJ
description 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.
format Article
id doaj-art-0288fe719a184de2a339b2f95a00feb4
institution OA Journals
issn 1110-757X
1687-0042
language English
publishDate 2012-01-01
publisher Wiley
record_format Article
series Journal of Applied Mathematics
spelling doaj-art-0288fe719a184de2a339b2f95a00feb42025-08-20T02:03:27ZengWileyJournal of Applied Mathematics1110-757X1687-00422012-01-01201210.1155/2012/760359760359Reliability Analysis of Wireless Sensor Networks Using Markovian ModelJin Zhu0Liang Tang1Hongsheng Xi2Zhenghuan Zhang3Department of Automation, University of Science and Technology of China, Hefei 230027, ChinaDepartment of Automation, University of Science and Technology of China, Hefei 230027, ChinaDepartment of Automation, University of Science and Technology of China, Hefei 230027, ChinaDepartment of Automation, University of Science and Technology of China, Hefei 230027, ChinaThis 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.http://dx.doi.org/10.1155/2012/760359
spellingShingle Jin Zhu
Liang Tang
Hongsheng Xi
Zhenghuan Zhang
Reliability Analysis of Wireless Sensor Networks Using Markovian Model
Journal of Applied Mathematics
title Reliability Analysis of Wireless Sensor Networks Using Markovian Model
title_full Reliability Analysis of Wireless Sensor Networks Using Markovian Model
title_fullStr Reliability Analysis of Wireless Sensor Networks Using Markovian Model
title_full_unstemmed Reliability Analysis of Wireless Sensor Networks Using Markovian Model
title_short Reliability Analysis of Wireless Sensor Networks Using Markovian Model
title_sort reliability analysis of wireless sensor networks using markovian model
url http://dx.doi.org/10.1155/2012/760359
work_keys_str_mv AT jinzhu reliabilityanalysisofwirelesssensornetworksusingmarkovianmodel
AT liangtang reliabilityanalysisofwirelesssensornetworksusingmarkovianmodel
AT hongshengxi reliabilityanalysisofwirelesssensornetworksusingmarkovianmodel
AT zhenghuanzhang reliabilityanalysisofwirelesssensornetworksusingmarkovianmodel