Title :
IMAN: An Intelligent MANET routing system
Author :
Saeed, N.H. ; Abbod, M.F. ; Al-Raweshidy, H.S.
Author_Institution :
Wireless Network & Commun. Centre (WNCC), Brunel Univ., London, UK
Abstract :
Currently, in any MANET, one protocol routes packets to their destination regardless of the network context. This `one size fits all´ approach is far from optimum. Therefore, in this paper, we introduce an Intelligent MANet routing protocol system (IMAN), which employs Genetic Algorithms to select the most optimum protocol based on the network context. Comprehensive performance models of three MANET routing protocols (AODV, DSR and OLSR) were built based on the Neuro-Fuzzy Inference System. Representative MANET scenarios, with different number of nodes and mobility schemes, were tested by means of simulations. Findings indicated considerable reduction in packets delay and data load when IMAN was utilized.
Keywords :
ad hoc networks; fuzzy neural nets; genetic algorithms; inference mechanisms; mobile radio; routing protocols; telecommunication computing; AODV; DSR; IMAN; OLSR; genetic algorithms; intelligent MANET routing protocol system; mobility schemes; network context; neurofuzzy inference system; Artificial intelligence; Context modeling; Design engineering; Fuzzy logic; Genetic algorithms; Intelligent systems; Mobile ad hoc networks; Routing protocols; Wireless application protocol; Wireless networks; GA; MANET routing protocol QoS; Neuro-Fuzzy;
Conference_Titel :
Telecommunications (ICT), 2010 IEEE 17th International Conference on
Conference_Location :
Doha
Print_ISBN :
978-1-4244-5246-0
Electronic_ISBN :
978-1-4244-5247-7
DOI :
10.1109/ICTEL.2010.5478779
