DocumentCode :
2486913
Title :
Giving neurons to sensors. QoS management in wireless sensors networks.
Author :
Barbancho, Julio ; León, Carlos ; Molina, Javier ; Barbancho, Antonio
Author_Institution :
Dept. of Electron. Technol., Seville Univ.
fYear :
2006
fDate :
20-22 Sept. 2006
Firstpage :
594
Lastpage :
597
Abstract :
Public utilities services (gas, water and electricity) have been traditionally automated with several technologies. The main functions that these technologies must support are AMR, automated meter reading, and SCADA, supervisory control and data acquisition. Most meter manufacturers provide devices with Bluetoothreg or ZigBeetrade communication features. This characteristic has allowed the inclusion of wireless sensor networks (WSN) in these systems. Once WSNs have appeared in such a scenario, real-time AMR and SCADA applications can be developed with low cost. Data must be routed from every meter to a base station. This paper describes the use of a novel QoS-driven routing algorithm, named SIR: sensor intelligence routing, over a network of meters. An artificial neural network is introduced in every node to manage the routes that data have to follow. The resulting system is named intelligent wireless sensor network (IWSN).
Keywords :
automatic meter reading; intelligent sensors; metering; neural nets; public utilities; quality of service; wireless sensor networks; QoS management; QoS-driven routing algorithm; artificial neural network; data routing management; intelligent wireless sensor network; quality of service; sensor intelligence routing; Artificial intelligence; Automatic meter reading; Intelligent networks; Intelligent sensors; Manufacturing; Meter reading; Neurons; Routing; SCADA systems; Wireless sensor networks; Ad hoc networks; Articial neural networks (ANN); Quality of service (QoS); Routing; Self-Organizing Map (SOM); Wireless sensor networks (WSN); ubiquitous computing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Emerging Technologies and Factory Automation, 2006. ETFA '06. IEEE Conference on
Conference_Location :
Prague
Print_ISBN :
0-7803-9758-4
Type :
conf
DOI :
10.1109/ETFA.2006.355389
Filename :
4178222
Link To Document :
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