DocumentCode
3579000
Title
Luminous trends in Ant-based algorithms
Author
Karthikeya, Bolla
Author_Institution
School of Computer Science and Engineering, VIT University - Chennai, Chennai, Tamil Nadu, India
fYear
2014
Firstpage
1
Lastpage
4
Abstract
The paper presents notable trends in Ant-based algorithms, which are derived from the biological phenomena of swarm intelligence and social insects. Swarm Intelligence is the collective behavior of self-organizing, decentralized natural/artificial systems viz. flock of birds, ants, bees, school of fish and is organized into Bio-inspired networking: these are the techniques based on biological phenomena which are used for efficient and scalable routing. Ant Colony Optimization and Antlike mobile agents are used in Mobile Ad-Hoc Networks (MANETs) which include mobile devices viz. cell phones, laptops, forming an infrastructure-independent network communicating through a wireless connection.
Keywords
Ad hoc networks; Ant colony optimization; Biology; Mobile communication; Mobile computing; Particle swarm optimization; Routing; ACO; ARA; AntHocNet; AntNet; MANETs; Pheromone; Swarm Intelligence;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence and Computing Research (ICCIC), 2014 IEEE International Conference on
Print_ISBN
978-1-4799-3974-9
Type
conf
DOI
10.1109/ICCIC.2014.7238314
Filename
7238314
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