Title | ||
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An optimized self-organized approach to manage communication in wireless instrumentation systems |
Abstract | ||
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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. |
Year | DOI | Venue |
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2011 | 10.1109/IA.2011.5953612 | Intelligent Agent |
Keywords | Field | DocType |
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,ant colony optimization,intelligent hybrid systems,multiagent system,wireless sensor networks | Ant colony optimization algorithms,Wireless,Computer science,Computer network,Workstation,Physical layer,Wireless sensor network,Telecommunication computing,Instrumentation,Routing protocol,Distributed computing | Conference |
ISBN | Citations | PageRank |
978-1-61284-059-8 | 0 | 0.34 |
References | Authors | |
10 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Nacer Hamani | 1 | 4 | 1.79 |
Jean-Paul Jamont | 2 | 78 | 22.92 |
Michel Occello | 3 | 69 | 26.55 |
Mouloud Koudil | 4 | 92 | 22.73 |