ARA - The Ant-Colony Based Routing Algorithm for MANETs
ICPPW '02 Proceedings of the 2002 International Conference on Parallel Processing Workshops
MANET simulation studies: the incredibles
ACM SIGMOBILE Mobile Computing and Communications Review - Special Issue on Medium Access and Call Admission Control Algorithms for Next Generation Wireless Networks.: The Digital Library version of this issue has a corrected special issue title compared to the one in the print version of the issue.
Handbook Of Bioinspired Algorithms And Applications (Chapman & Hall/Crc Computer & Information Science)
A comprehensive review of nature inspired routing algorithms for fixed telecommunication networks
Journal of Systems Architecture: the EUROMICRO Journal - Special issue: Nature-inspired applications and systems
Stigmergic Optimization (Studies in Computational Intelligence)
Stigmergic Optimization (Studies in Computational Intelligence)
Performance evaluation and simulations of routing protocols in ad hoc networks
Computer Communications
PACONET: imProved Ant Colony Optimization Routing Algorithm for Mobile Ad Hoc NETworks
AINA '08 Proceedings of the 22nd International Conference on Advanced Information Networking and Applications
A Nature-Inspired QoS Routing Algorithm for Next Generation Networks
ICAS '08 Proceedings of the Fourth International Conference on Autonomic and Autonomous Systems
Swarm Intelligence: Introduction and Applications
Swarm Intelligence: Introduction and Applications
AntNet: distributed stigmergetic control for communications networks
Journal of Artificial Intelligence Research
Adaptive Routing In Ad Hoc Wireless Networks Using Ant Colony Optimization
ICCTD '09 Proceedings of the 2009 International Conference on Computer Technology and Development - Volume 02
A hybrid multi-path ant QoS routing algorithm for MANETs
WOCN'09 Proceedings of the Sixth international conference on Wireless and Optical Communications Networks
Bees_ Ants Based Routing Algorithm
ISMS '10 Proceedings of the 2010 International Conference on Intelligent Systems, Modelling and Simulation
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In this paper, we have introduced a new multi-agent nature-inspired routing algorithm. The algorithm is referred to as the BeesAnts algorithm. It is a combination of the ant colony-based routing algorithm (ARA) and the BeeHive-based routing algorithm. The proposed routing algorithm works effectively on networks consisting of two parts; one is a fixed network and the other is a mobile ad hoc network (MANET). It applies the ARA routing algorithm on the mobile part and the BeeHive routing algorithm on the fixed part. The experimental results and the statistical analysis have demonstrated that the BeesAnts routing algorithm outperforms its ancestor, the ARA routing algorithm, in terms of the propagation delay, the queue delay, and the number of hops.