Ant-based load balancing in telecommunications networks
Adaptive Behavior
A Survey of Energy Efficient Network Protocols for Wireless Networks
Wireless Networks
Multiple Ant-Colony Optimization for Network Routing
CW '02 Proceedings of the First International Symposium on Cyber Worlds (CW'02)
Ant Colony Optimization
AntNet: distributed stigmergetic control for communications networks
Journal of Artificial Intelligence Research
IEEE Computational Intelligence Magazine
Balancing search and target response in cooperative unmanned aerial vehicle (UAV) teams
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Ant colony optimization for routing and load-balancing: survey and new directions
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Probability routing algorithm for mobile ad hoc networks' resources management
IEEE Journal on Selected Areas in Communications
Deployable aerial communication networks: challenges for futuristic applications
Proceedings of the 9th ACM symposium on Performance evaluation of wireless ad hoc, sensor, and ubiquitous networks
| Hi-index | 0.00 |
Energy saving and traffic load balancing are two important issues that affect the performance of wireless networks, especially MANET. In this work, a novel routing algorithm over MANETs called LBE-ARAMA has been proposed. It allows to discover minimum MDR paths preserving the energy and to balance the data traffic through the Round Trip Time (RTT) delay evaluation on the path from source to destination. This algorithm is based on Swarm Intelligence approach, in particular, ant colony behavior. The proposed algorithm is able to satisfy multiple metrics for a multi-objective optimization like end-to-end delay, load balancing and energy saving. The novelty of our approach is the introduction of a new pheromone updating policy associated with the use of multiple metrics. In order to evaluate the proposed algorithm simulation campaigns have been conducted and a performance comparison with AODV and ARAMA protocols have been carried out through the NS-2 simulator.