A cognitive and adaptive framework for mobile ad-hoc networks

Ramrekha, Tipu and Politis, Christos (2012) A cognitive and adaptive framework for mobile ad-hoc networks. In: EPSRC Flexible Network Workshop; 24 - 25 April 2012, Guildford, U.K..

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Abstract

Mobile Ad-hoc Networks (MANETs) are fully distributed networks that consist of fully-connected collaborative nodes. Each node in the network can act as a relay, if required, in order to route information from source to destination nodes. Traditional routing approaches that are being further investigated for standardisation at the Internet Engineering Task Force (IETF) are flat reactive and proactive routing protocols such as Ad-hoc On-demand Distance Vector (AODV) routing and Optimised Link State Routing (OLSR) respectively. However, in literature, various more elaborate approaches have been presented based on hybrid routing solutions which include nature inspired routing algorithms, cluster based routing as well as proactive-reactive zonal based routing. A further avenue towards optimising the flat routing approaches in MANETs is to adopt a converged hybrid routing approach where the nodes in the network use cognitive algorithms to detect the state of the network and adapt the routing approach to fit these conditions. Furthermore, in order to tackle the issue of deploying ad-hoc networks, a more realistic cognitive and adaptive framework is required. In this paper, we describe our work towards the development of such a converged routing approach and a suitable Cognitive and Adaptive Module (CAM), which is patent pending, for MANET deployments.

Item Type: Conference or Workshop Item (Speech)
Event Title: EPSRC Flexible Network Workshop
Locations and Dates of Event:
LocationFrom DateTo Date
CCSR, University of Surrey, Guildford, UK23 April 201224 April 2012
Organising Body: EPSRC
Research Area: Computer science and informatics
Faculty, School or Research Centre: Faculty of Science, Engineering and Computing
Faculty of Science, Engineering and Computing > Mobile Information and Network Technologies
Faculty of Science, Engineering and Computing > School of Computing and Information Systems
Depositing User: Arvind Ramrekha
Date Deposited: 20 Jun 2012 15:30
Last Modified: 20 Jun 2012 15:30
URI: http://eprints.kingston.ac.uk/id/eprint/22796

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