An optimized self-organized approach to manage communication in wireless instrumentation systems

Author

Hamani, Nacer ; Jamont, Jean-Paul ; Occello, Michel ; Koudil, Mouloud

Author_Institution

LMCS, Ecole Super. d´´Inf., Algiers, Algeria

fYear

2011

fDate

11-15 April 2011

Firstpage

1

Lastpage

8

Abstract

In the context of wireless instrumentation systems, we proposed the MWAC model to enable reliable communications between sensors. This model, based on a self-organization process, is operational and has been usefully deployed on real world wireless sensors networks. However, for some applications, MWAC presents an important limitation. In fact, for a given emergent structure, the process offers only one path to join the workstation which collects all the data. This paper presents an improvement of this model to increase the path proposal using ant colony optimization.

Keywords

computerised instrumentation; optimisation; telecommunication computing; telecommunication network management; wireless sensor networks; MWAC model; ant colony optimization; communication management; optimized self-organized approach; self-organization process; wireless instrumentation system; wireless instrumentation systems; wireless sensors networks; Delay; Heuristic algorithms; Physical layer; Routing; Routing protocols; Wireless sensor networks; ant colony optimization; intelligent hybrid systems; multiagent system; wireless sensor networks;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Agent (IA), 2011 IEEE Symposium on

Conference_Location

Paris

Print_ISBN

978-1-61284-059-8

Type

conf

DOI

10.1109/IA.2011.5953612

Filename

5953612