AntHocNet: an adaptive nature-inspired algorithm for routing in mobile ad hoc networks
By Gianni Di Caro, Frederick Ducatelle, Luca Maria Gambardella. Transactions on Emerging Telecommunications Technologies, 2005
645 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/35b7c31be702642c187c39b0e573cc599950f8c4
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
- Thomas Stützle
- Marco Dorigo
- Falko Dressler
- Ö. Akan
- Alberto Montresor
- Márk Jelasity
- Gianni Di Caro
- Mauro Birattari
In Electrical and Electronic Engineering
- Marco Dorigo
- Thomas Stützle
- Falko Dressler
- Ö. Akan
- Gianni Di Caro
- Mauro Birattari
- Raghavendra V. Kulkarni
- Anna Förster
Citations in the corpus
- Routing in Flying Ad Hoc Networks: A Comprehensive Survey (2020, methodology): “Further, a simulation study was performed to investigate the applicability of AntHocNet [167], a hybrid (combination of both reactive and proactive routing schemes) multipath algorithm designed for MANETs based on the principles of the ACO algorithm, for FANETs.”
- Computational Intelligence in Wireless Sensor Networks: A Survey (2011, methodology): “The approach is very similar to AntHocNet [95], and as every other swarm-based one, is fully distributed and is well suited for networks.”
- A survey on bio-inspired networking (2010, methodology): “The outgoing probabilities are constrained by Similar to AntNet, AntHocNet [20] is based on the ACO algorithm used in the context of ad hoc networks.”
- Ant Colony Optimization: Overview and Recent Advances (2018, methodology): “As said earlier, ACO algorithms have been applied with significant success to dynamic problems in the area of network routing [47, 49].”
- Intelligent Device-to-Device Communication in the Internet of Things (2016, background): “of the collective behavior of decentralized and self-organized systems such as ant colonies, flocks of fishes, or swarms of bees or birds [42].”
- Design patterns from biology for distributed computing (2006, methodology): “A detailed description and evaluation of AntHocNet can be found in [16, 17, 22].”
- Swarm intelligence based routing protocol for wireless sensor networks: Survey and future directions (2011, background): “, see [19,69] for more extensive discussions and examples).”
- Ant colony optimization (2006, positive): “For this problem, ACO algorithms belong to the state-of-the-art techniques [70], [74].”