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Learning Based Opporrtunustic Geographical Routing in Cognitive Radio Ad hoc Networks

Authors:
M.Sc. Mehdi Harounabadi
Dr.-Ing. Oleksandr Artemenko
Prof. Dr.-Ing. habil. Andreas Mitschele-Thiel
Typ:
Conferences
Status:
accepted
Date of publication
07/07/2014
Abstract:
Quality of Service (QoS) routing is one of the major needs in cognitive radio ad hoc networks (CRAHNs). The routing should provide QoS for different traffic types in CRAHNs which are highly dynamic. Opportunistic routing is a solution that exploits broadcast nature of wireless networks and fits to the instabilities of CRAHNs. In this paper an opportunistic routing in CRAHNs is proposed that applies geographical information of nodes and adapt to dynamics of the network.
Bibtex