Networked estimation under contention-based medium access

This paper studies networked estimation over a communication channel shared by a contention‐based medium access protocol. A collection of N identical and physically decoupled scalar systems are sampled without sensor noise and transmitted over a common channel, using a contention‐based medium access...

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Bibliographic Details
Published inInternational journal of robust and nonlinear control Vol. 20; no. 2; pp. 140 - 155
Main Authors Rabi, Maben, Stabellini, Luca, Proutiere, Alexandre, Johansson, Mikael
Format Journal Article
LanguageEnglish
Published Chichester, UK John Wiley & Sons, Ltd 25.01.2010
Subjects
Channels
communication bandwidth constraints
control-systems
cross-layer analysis
cross-layer tradeoffs
Distortion
Information technology
Informationsteknik
MAC
MAC protocols
networked estimation
protocols
Samples
sampling rates
Statistical analysis
Statistical methods
Statistics
TECHNOLOGY
TEKNIKVETENSKAP
Telecommunication
Telekommunikation
Traffic engineering
Traffic flow
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Summary:This paper studies networked estimation over a communication channel shared by a contention‐based medium access protocol. A collection of N identical and physically decoupled scalar systems are sampled without sensor noise and transmitted over a common channel, using a contention‐based medium access mechanism. We first carry out a calculation of the average distortion in estimation with irregular samples. Given the rate of packet generation at sensors, we characterize the traffic characteristics of the some contention‐based MAC schemes. This lets us derive the statistics of inter‐arrival times which in turn allows us to compute the packet loss rates and also the statistics of delay within a sample period. Using these results, we track the estimation performance as the sample generation rate and the number of contending nodes are varied. We provide a heuristic rule‐of‐thumb for choosing the sampling interval which minimizes the average distortion. By combining the network traffic characterization with that of the estimation performance, we show this rule performs pretty well. Carrying along the same lines, we are able to compute the scaling limits of estimation performance with respect to the number of contending nodes. Copyright © 2009 John Wiley & Sons, Ltd.
Bibliography:European Commission - No. FP6
ArticleID:RNC1459
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ISSN:1049-8923
1099-1239
1099-1239
DOI:10.1002/rnc.1459