Abstract
We present an approach to exploit social and spatio-temporal context in order to improve information dissemination in dynamic large-scale public spaces. We illustrate it by applying a proposed measure of geo-social relevance of each individual in a simulated vehicular network and by comparing the performance of different network message passing techniques in an inter-vehicle ‘help-me-best-and-do-it-fast’ communication scenario. We conclude that the use of social networking capabilities of an individual combined with knowledge about their spatio-temporal context information significantly improves purposeful interaction between individuals in terms of both the efficiency of the network data dissemination and the quality of the delivered information.
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Mahmud, N. et al. (2010). Geo-Social Interaction: Context-Aware Help in Large Scale Public Spaces. In: de Ruyter, B., et al. Ambient Intelligence. AmI 2010. Lecture Notes in Computer Science, vol 6439. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16917-5_11
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DOI: https://doi.org/10.1007/978-3-642-16917-5_11
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-16916-8
Online ISBN: 978-3-642-16917-5
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