Intelligent Ant based Routing Algorithm (IARA) in Mobile Ad hoc networks

Author

Abkenar, Gholamhasan Sajedy ; Shokouhifar, Mohammad ; SajediAbkenar, Abbas

Author_Institution

Central Tehran Branch, Electr. & Electron. Eng., Islamic Azad Univ., Tehran, Iran

fYear

2011

fDate

18-21 Dec. 2011

Firstpage

1

Lastpage

3

Abstract

Because of increasing use of Mobile Ad hoc and sensor Networks, routing that has a critical role in Quality of Service, is still a challenging task. Mobility, dynamic links and some other influential parameters in this self-configurable network have made routing more difficult in contrast with static networks. Ant Colony optimization with a similar structure to MANET is a biological inspired algorithm that has led to many Ant Routing Algorithm (ARA) in MANET during 10 recent years. However each ARA is created for a specific condition or improving specific parameter. In this paper we propose an intelligent algorithm that in each condition selects an appropriate ARA. Simulation results show that our proposed algorithm is significantly better over exiting ARA for routing in MANET.

Keywords

ant colony optimisation; mobile ad hoc networks; mobility management (mobile radio); quality of service; telecommunication network routing; IARA; MANET; ant colony optimization; biological inspired algorithm; intelligent ant based routing algorithm; mobile ad hoc network; quality of service; sensor network; static network; Delay; Heuristic algorithms; Mobile ad hoc networks; Mobile communication; Routing; Routing protocols; Ad hoc network; Ant Colony Optimization; Routing;

fLanguage

English

Publisher

ieee

Conference_Titel

Advanced Networks and Telecommunication Systems (ANTS), 2011 IEEE 5th International Conference on

Conference_Location

Bangalore

ISSN

2153-1676

Print_ISBN

978-1-4673-0093-3

Type

conf

DOI

10.1109/ANTS.2011.6163665

Filename

6163665