DocumentCode :
2511027
Title :
Multi Attribute Based Algorithm for Reliable Satellite-Based Sensor Networks
Author :
Bisio, Igor ; Marchese, Mario ; Portomauro, Giancarlo
Author_Institution :
Univ. of Genoa Res. Unit, Genoa
fYear :
2007
fDate :
26-30 Nov. 2007
Firstpage :
5016
Lastpage :
5020
Abstract :
Modern environmental monitoring systems are based on satellite-based sensor networks (SSN) where earth stations (Sinks) gather information from sensors and use the satellite channel to send it to remote sites. For the sake of efficiency of a whole monitoring system, the SSN has to be managed by following two main aims: to guarantee the reliability, in particular in case of failure of the satellite portion of the network, and to limit both delay, which is representative of a very important Quality of Service (QoS) metric, and energy consumption. The dynamic sink selection process may allow reaching both aims of the system. In more detail, the paper proposes: the description of the SSN architecture taken as reference, the quality requirements of the system, a revision of the Sink selection method called LINMAP, and an introductive simulative study of its performance in case of failure of the satellite portion of the system.
Keywords :
quality of service; satellite communication; telecommunication network reliability; wireless channels; wireless sensor networks; LINMAP; SSN architecture; dynamic sink selection process; earth stations; energy consumption; environmental monitoring systems; multi attribute based algorithm; quality of service metric; reliable satellite-based sensor networks; remote sites; satellite channel; Artificial satellites; Communication system control; Pervasive computing; Quality of service; Remote monitoring; Satellite ground stations; Sensor phenomena and characterization; Sensor systems; Weather forecasting; Wireless sensor networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Global Telecommunications Conference, 2007. GLOBECOM '07. IEEE
Conference_Location :
Washington, DC
Print_ISBN :
978-1-4244-1042-2
Electronic_ISBN :
978-1-4244-1043-9
Type :
conf
DOI :
10.1109/GLOCOM.2007.951
Filename :
4411861
Link To Document :
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