Context discovery in mobile environments: a particle swarm optimization approach

Anagnostopoulos, C. and Hadjiefthymiades, S. (2010) Context discovery in mobile environments: a particle swarm optimization approach. In: Athanasius, V.V., Beraldi, R., Friedman, R. and Mamei, M. (eds.) Autonomic Computing and Communications Systems: Third International ICST Conference, Autonomics 2009, Limassol, Cyprus, September 9-11, 2009, Revised Selected Papers. Series: Lecture notes of the institute for computer sciences, social informatics and telecommunications engineering (23). Springer Berlin Heidelberg: Heidelberg, Germany, pp. 160-175. ISBN 9783642114816 (doi: 10.1007/978-3-642-11482-3_11)

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We introduce a novel application of Particle Swarm Optimization in the mobile computing domain. We focus on context aware applications and investigate the context discovery problem in dynamic environments. Specifically, we investigate those scenarios where nodes with context aware applications are trying to (physically) locate up-to-date context, captured by other nodes. We establish the concept of context quality (an ageing framework deprecates contextual information thus leading to low quality). Nodes with low quality context cannot capture such information by themselves but are in need for “fresh” context in order to feed their application. We assess the performance of the proposed algorithm through simulations. Our findings are quite promising for the mobile computing domain and context awareness in specific. We assess two different strategies for the PSO-based context discovery framework.

Item Type:Book Sections
Glasgow Author(s) Enlighten ID:Anagnostopoulos, Dr Christos
Authors: Anagnostopoulos, C., and Hadjiefthymiades, S.
College/School:College of Science and Engineering > School of Computing Science
Publisher:Springer Berlin Heidelberg

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