ACO Based Routing Algorithms for Ad-hoc Network (WSN, MANETs): A Survey

Author

Shirkande, S.D. ; Vatti, R.A.

Author_Institution

Dept. of Electron. & Telecommun., Vishwakarma Inst. of Technol., Pune, India

fYear

2013

fDate

6-8 April 2013

Firstpage

230

Lastpage

235

Abstract

In Ad-Hoc network there are many problems, which can be categorized as an optimization problem such as energy consumption, routing, localization, node deployment. Many researchers have done research to solve these problems and recently new class of routing algorithms came up which is based on Swarm Intelligence. Ant Colony algorithm is inspired from self-organizing behavior of ants which fall under Swarm Intelligence. In this paper, a survey is done on various ant colony based routing algorithms for Wireless Sensor network (WSN) and Mobile Ad-Hoc Network (MANETs). A comparison of various algorithms is made based on performance metrics, pheromone function to select next node, simulator used, energy awareness, etc.

Keywords

ant colony optimisation; energy consumption; mobile ad hoc networks; performance evaluation; swarm intelligence; telecommunication network routing; wireless sensor networks; ACO based routing algorithms; MANET; WSN; ant colony algorithm; ant colony based routing algorithms; energy awareness; energy consumption; localization; mobile ad-hoc network; node deployment; optimization problem; performance metrics; pheromone function; self-organizing behavior; swarm Intelligence; swarm intelligence; wireless sensor network; Ad hoc networks; Algorithm design and analysis; Delays; Mathematical model; Mobile computing; Routing; Wireless sensor networks; Ad-Hoc Network; Ant Colony Optimization; MANET; Swarm Intelligence; WSN;

fLanguage

English

Publisher

ieee

Conference_Titel

Communication Systems and Network Technologies (CSNT), 2013 International Conference on

Conference_Location

Gwalior

Print_ISBN

978-1-4673-5603-9

Type

conf

DOI

10.1109/CSNT.2013.56

Filename

6524393