Article ID Journal Published Year Pages File Type
448275 Ad Hoc Networks 2012 13 Pages PDF
Abstract

Context information can be used to streamline routing decisions in opportunistic networks. We propose a novel social context-based routing scheme that considers both the spatial and the temporal dimensions of the activity of mobile nodes to predict the mobility patterns of nodes based on the BackPropagation Neural Networks model.

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Related Topics
Physical Sciences and Engineering Computer Science Computer Networks and Communications
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Context information prediction for social-based routing in opportunistic networks
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