DocumentCode :
2505672
Title :
Functional characterization of sensor integration in distributed sensor networks
Author :
Prasad, Lakshman ; Iyengar, S.S. ; Kashyap, R.L. ; Madan, R.N.
Author_Institution :
Dept. of Comput. Sci., Louisiana State Univ., Baton Rouge, LA, USA
fYear :
1991
fDate :
30 Apr-2 May 1991
Firstpage :
186
Lastpage :
193
Abstract :
Fault-tolerance is an important issue in network design because sensor networks must function in a dynamic, uncertain world. In this paper, the authors propose a functional characterization of the fault-tolerant integration of abstract interval estimates. This model provides a test bed for a general framework which the authors hope to develop to address the general problem of fault-tolerant integration of abstract sensor estimates. They further propose a scheme for narrowing the width of the sensor output in a specific failure model and give it a functional representation. The main distinguishing feature of the authors´ model over the original Marzullo´s model is in reducing the width of the output interval estimate significantly in most cases where the number of sensors involved is large
Keywords :
computerised signal processing; distributed processing; estimation theory; fault tolerant computing; abstract interval estimates; distributed sensor networks; fault-tolerant integration; output interval estimate; sensor output; Computer science; Electronic equipment testing; Fault tolerance; Intelligent networks; Intelligent sensors; Sensor phenomena and characterization; Sensor systems; Surveillance; System testing; Target tracking;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Parallel Processing Symposium, 1991. Proceedings., Fifth International
Conference_Location :
Anaheim, CA
Print_ISBN :
0-8186-9167-0
Type :
conf
DOI :
10.1109/IPPS.1991.153777
Filename :
153777
Link To Document :
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