ARA-the ant-colony based routing algorithm for MANETs
By M. Günes, Udo Sorges, Imed Bouazizi. Proceedings. International Conference on Parallel Processing Workshop, 2002
780 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/86c89f89558eb97ba515b1ca08c2c5651c79975f
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Networks and Communications
- Gianni Di Caro
- Luca Maria Gambardella
- Frederick Ducatelle
- Azzedine F. M. Boukerche
- Eryk Dutkiewicz
- Yunsi Fei
- Damla Turgut
- Shengxiang Yang
In Electrical and Electronic Engineering
- Gianni Di Caro
- Frederick Ducatelle
- Luca Maria Gambardella
- Azzedine F. M. Boukerche
- Eryk Dutkiewicz
- Yunsi Fei
- Shengxiang Yang
- Mehran Abolhasan
Citations in the corpus
- AntHocNet: An Ant-Based Hybrid Routing Algorithm for Mobile Ad Hoc Networks (2004, neutral): “Examples are ARA [5] and PERA [1].”
- Ant Colony Optimization (2001, neutral): “A similar limitation applies to other well-known convergence proofs, such as those formulated for simulated annealing by Hajek (1988) and by Romeo & Sangiovanni-Vincentelli (1991). Finally, theorem 4.”
- QELAR: A Machine-Learning-Based Adaptive Routing Protocol for Energy-Efficient and Lifetime-Extended Underwater Sensor Networks (2010, background): “ARA [ 25 ] is a reactive ACO-based algorithm which divides the routing process into route discovery phase and route maintenance phase.”
- Routing protocols in ad hoc networks: A survey (2011, positive): “ARA-The ant-colony based routing algorithms [50]: Gunes et al.”
- AntHocNet: an adaptive nature-inspired algorithm for routing in mobile ad hoc networks (2005, background): “Ant-Colony-Based Routing Algorithm (ARA) [21] works mainly in an on-demand way, with ants setting up multiple paths between source and destination at the start of a data session.”
- A review of routing protocols for mobile ad hoc networks (2004, background): “Ant - colony - based routing algorithm ( ARA ) ARA [ 13 ] attempt to reduce routing overheads by adopting the food searching behaviour of ants .”
- A survey of swarm intelligence for dynamic optimization: Algorithms and applications (2017, background): “…there are two categories of network routing problems in which ACO has been applied: wired , e.g., wired best effort networks [211, 212, 213, 214, 215] and wired quality of service (QoS) networks [216, 217, 218, 214, 219, 220], and wireless , e.g., mobile ad hoc networks [221, 222, 223, 224, 225].”