Reliability Analysis of Wireless Sensor Networks Using Markovian Model

被引:0
作者
Zhu, Jin [1 ]
Tang, Liang [1 ]
Xi, Hongsheng [1 ]
Zhang, Zhenghuan [1 ]
机构
[1] Univ Sci & Technol China, Dept Automat, Hefei 230027, Peoples R China
基金
中国国家自然科学基金;
关键词
STOCHASTIC DIFFERENTIAL-EQUATIONS; STABILITY;
D O I
10.1155/2012/760359
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
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.
引用
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页数:21
相关论文
共 16 条
[1]  
[Anonymous], 2005, An Introduction to Markov Processes
[2]   Impact of Topology on Performance and Energy Efficiency in Wireless Sensor Networks for Source Extraction [J].
Chen, Hongbin ;
Tse, Chi K. ;
Feng, Jiuchao .
IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, 2009, 20 (06) :886-897
[3]  
Dargie W., 2010, FUNDAMENTALS WIRELES, DOI DOI 10.1002/9780470666388
[4]  
Hassan K. K., 2002, NONLINEAR SYSTEMS
[5]   LMI-Based approach for asymptotically stability analysis of delayed neural networks [J].
Liao, XF ;
Chen, GR ;
Sanchez, EN .
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS, 2002, 49 (07) :1033-1039
[6]   Stabilization of Markovian jump linear system over networks with random communication delay [J].
Liu, Ming ;
Ho, Daniel W. C. ;
Niu, Yugang .
AUTOMATICA, 2009, 45 (02) :416-421
[7]  
Liu Y, 2008, ACTA METEOROL SIN, V22, P22
[8]   Stability of stochastic differential equations with Markovian switching [J].
Mao, XR .
STOCHASTIC PROCESSES AND THEIR APPLICATIONS, 1999, 79 (01) :45-67
[9]   Stochastic versions of the LaSalle theorem [J].
Mao, XR .
JOURNAL OF DIFFERENTIAL EQUATIONS, 1999, 153 (01) :175-195
[10]   Approximations of Euler-Maruyama type for stochastic differential equations with Markovian switching, under non-Lipschitz conditions [J].
Mao, Xuerong ;
Yuan, Chenggui ;
Yin, G. .
JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS, 2007, 205 (02) :936-948