2008 3rd International Symposium on Communications, Control and Signal Processing 2008
DOI: 10.1109/isccsp.2008.4537195
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Adaptive context for generic pattern matching in ad hoc social networks

Abstract: Efficient pattern matching algorithms in ad hoc networks can have significant benefits in generating real-time context and eliminate the need for a centralized arbiter. In our paper we demonstrate a generic and customizable architecture for achieving efficient pattern matching in mobile ad hoc networks. A major limitation of current ad hoc matching algorithms is that they are tailored for a specific design scenario and are unable to adapt to new scenarios. In this paper we present a novel architecture for the … Show more

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Cited by 4 publications
(2 citation statements)
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“…Following the principles of social networks' structural analysis and following the models presented in [7] and [8], we have managed to represent passenger's profile information in the form of context. This has enabled us to detect and monitor passengers with special needs during the course of their travel.…”
Section: Context Filteringmentioning
confidence: 99%
“…Following the principles of social networks' structural analysis and following the models presented in [7] and [8], we have managed to represent passenger's profile information in the form of context. This has enabled us to detect and monitor passengers with special needs during the course of their travel.…”
Section: Context Filteringmentioning
confidence: 99%
“…ty</disabil i ty> <disabi1i ty weight="lS">Wheelchai. r</disabi1i ty> <disabil ity weight="l7">Severe Di.sabi.l i.ty<ldisabiH ty> <ldisabilitylnfo> <agelnfo> <age>S0</age> <age>6S</age> <lagelnfo> Following the principles of social networks' structural analysis and following the models presented in [7] and [8], we have managed to represent passenger's profile information in the form of context. This has enabled us to detect and monitor passengers with special needs during the course of their travel.…”
Section: Introductionmentioning
confidence: 99%