Self organizing packet routing with ant colonies: tools

Authors:
Luis Fernando de Mingo;Nuria Gómez Blas;Alberto Arteta
Affiliations:
Dept. Organización y Estructura de la Información, Universidad Politécnica de Madrid, Madrid, Spain;Dept. Organización y Estructura de la Información, Universidad Politécnica de Madrid, Madrid, Spain;Dept. Matemática Aplicada, Universidad Politécnica de Madrid, Madrid, Spain
Venue:
ACACOS'12 Proceedings of the 11th WSEAS international conference on Applied Computer and Applied Computational Science
Year:
2012

Citing 8
Cited 0

Routing in communications networks

Routing in communications networks
Ant-based load balancing in telecommunications networks

Adaptive Behavior
Viptos: a graphical development and simulation environment for TinyOS-based wireless sensor networks

Proceedings of the 3rd international conference on Embedded networked sensor systems
AntNet: distributed stigmergetic control for communications networks

Journal of Artificial Intelligence Research
Zone based ant colony routing in mobile ad-hoc network

COMSNETS'10 Proceedings of the 2nd international conference on COMmunication systems and NETworks
TinyOS meets wireless mesh networks

Proceedings of the 8th ACM Conference on Embedded Networked Sensor Systems
Exploring models of computation with ptolemy II

CODES/ISSS '10 Proceedings of the eighth IEEE/ACM/IFIP international conference on Hardware/software codesign and system synthesis
The design space of wireless sensor networks

IEEE Wireless Communications

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper explains some algorithms concerning packet routing using ant colony models. In-car entertainment systems based on wireless sensors with routing protocols might be implemented to improve user experience. Ant Colony algorithms are really useful in such cases, therefore they can be embedded into the wireless sensors to perform such routing tasks. A local routing algorithm is proposed. This paper also describes the basic tools to work with wireless sensors: TinyOS has a component-based architecture which enables rapid innovation and implementation while minimizing code size as required by the severe memory constraints inherent in sensor networks: network protocols, distributed services, sensor drivers, and data acquisition tools.