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Intelligence-based Routing for Smarter and Enhanced Opportunistic Network Operations
Authors:
Bassem Mokhtar
Mostafa Mokhtar
Keywords: Opportunistic Networks; Semantic-driven Operation; Routing Protocol; Context Awareness; Network Semantic, Information Management.
Abstract:
Opportunistic networking architecture supports mobile cloud computing technology for provisioning huge dynamic resource demands by the ever-growing and continually-evolved Internet. Opportunistic networks are highly dynamic networking environments where there are no static routes and known infrastructure for having consistent end-to-end communication. Additionally, great challenges exist in establishing efficient routes due to mobility features of communicating nodes. Many routing schemes have been proposed in order to optimize quality of service (QoS) of such networks. In this paper, we present intelligence-based routing approach for opportunistic networks via developing application-level reasoning models for learning patterns of data traffic and extracting data semantics. Those semantics, continuously updated, are multi-operation-domain-related highly-abstracted information which aid routing nodes in knowing/expecting locations of more reliable and possible next hop nodes. Hidden Markov models and Fuzzy logic are adopted for designing semantics reasoning models and they are implemented over a set of routing nodes in a simulation scenario. Evaluation results show that integrating our proposed intelligence approach with two existing routing protocols leads to higher data delivery and minimized communication overhead ratio with good level of latency compared with protocols operation without intelligence.
Pages: 126 to 132
Copyright: Copyright (c) IARIA, 2015
Publication date: November 15, 2015
Published in: conference
ISSN: 2163-9027
ISBN: 978-1-61208-439-8
Location: Barcelona, Spain
Dates: from November 15, 2015 to November 20, 2015