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

fYear

2010

fDate

4-7 April 2010

Firstpage

401

Lastpage

404

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/ICTEL.2010.5478779

Filename

5478779