On modeling of cognitive interrogator-sensor network: Layered discrete memoryless channel and finite-state Markov channel

Yifan Chen*, Wai Lok Woo

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

This paper looks into the modeling of information transmission over cognitive interrogator-sensor networks (CISNs), which represent an import class of sensor networks deployed for surveillance, tracking, and imaging applications. The crux of the problem is to develop a channel model that allows for evaluation of the sensing channel capacity and error rate performance, where the sensing link is overlaid by the communication link. First, the layered discrete memoryless channel (DMC) and finite-state Markov channel (FSMC) models are identified as a useful tool to capture the essence of information transfer over the communication and sensing links in a CISN. Subsequently, a study case considering a typical CISN for environmental monitoring subject to various wireless propagation and sensing conditions is presented to demonstrate how the model parameters may be derived. Finally, the applications of the proposed analytical framework including cognitive sensing, network performance assessment and simulation are discussed.

Original languageEnglish
Title of host publication2010 2nd International Workshop on Cognitive Information Processing, CIP2010
PublisherIEEE
Pages11-16
Number of pages6
ISBN (Electronic)9781424464593
ISBN (Print)9781424464579
DOIs
Publication statusPublished - 14 Oct 2010
Event2010 2nd International Workshop on Cognitive Information Processing, CIP2010 - Elba Island, Italy
Duration: 14 Jun 201016 Jun 2010

Publication series

NameWorkshop on Cognitive Information Processing
PublisherIEEE
ISSN (Print)2327-1671
ISSN (Electronic)2327-1698

Conference

Conference2010 2nd International Workshop on Cognitive Information Processing, CIP2010
CountryItaly
CityElba Island
Period14/06/1016/06/10

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