Distributed contextual information storage using content-centric hash tables

Abstract

We analyze the problem of storing contextual information across a set of distributed heterogeneous mobile devices. These devices form a Mobile Ad Hoc Network (MANET) interconnected to Internet, in which partitions may eventually happen due to mobility. We present a new mechanism called Contextual Hash Table (CHT), which uses the semantic of the contextual information to select which nodes will store that information. Unlike previous general-purpose data replication algoritms, CHT manages to store information in the area of the network in which that information is most likely needed by neighboring nodes. © IFIP International Federation for Information Processing 2005.