Peer-to-peer context reasoning in pervasive computing environments

Tao Gu (1) , Hung Keng Pung (2) , Daqing Zhang (3, 4, 1, 5)

1 Institute for Infocomm Research - I²R [Singapore]
2 NUS - National University of Singapore
3 ACMES-SAMOVAR - Architecture, Cloud continuum, formal Models, artificial intElligence and Services in distributed computing
4 TSP - RST - Département Réseaux et Services de Télécommunications
5 CNRS - Centre National de la Recherche Scientifique

In this paper, we propose a peer-to-peer approach to derive and obtain additional context data from low-level context data that may be spread over multiple domains in pervasive computing environments. In this system, peers are self-organized into a semantic peer- to-peer network as the underlying communication substrate. Context reasoning is done in a distributed fashion through logical reasoning according to a set of user-defined rules. Both pull and push services are supported in the system to enable message exchange during the reasoning process. We present our design concepts, and prove the effectiveness of our system through the prototype evaluation

Domaines: Informatique ubiquitaire; Réseaux et télécommunications [cs.NI]

Tao Gu, Hung Keng Pung, Daqing Zhang. Peer-to-peer context reasoning in pervasive computing environments. CoMoRea 2008 : 5th IEEE Workshop on Context Modeling and Reasoning, Mar 2008, Hong Kong, Hong Kong SAR China. pp.406 - 411, ⟨10.1109/PERCOM.2008.37⟩. ⟨hal-01394725⟩