DocumentCode
2125310
Title
Sensor Middleware to Support Diverse Data Qualities
Author
Del Cid, Pedro Javier ; Matthys, Nelson ; Huygens, Christophe ; Michiels, Sam ; Joosen, Wouter ; Hughes, Danny
Author_Institution
Distrinet Res. Group, Katholieke Univ. Leuven, Leuven, Belgium
fYear
2011
fDate
11-13 April 2011
Firstpage
673
Lastpage
676
Abstract
Wireless Sensor Network (WSN) applications are traditionally developed on a per-case basis, offering very little reusability or extensibility. Any runtime variability in required data quality is at best addressed by parameterization, reconfiguration and rewiring of existing service compositions. These generic mechanisms can be further optimized if the same data is to be provided at various qualities, as is often the case in WSNs where multiple applications are interested in data from the same sensors. We propose the use of configurable components that may be concurrently used in multiple compositions and allow data quality properties to vary in each composition. Furthermore, the addition of new components or new clients does not affect existing dependencies. As a result we obtain efficient and flexible parameterization. In order to achieve this configuration mode, a patterned structure and behavior for all components is used which leads to fewer dependencies allowing for simpler reconfiguration of service compositions. A prototype implementation and an evaluation are included.
Keywords
middleware; optimisation; resource allocation; wireless sensor networks; configurable component; diverse data quality; generic mechanism; sensor middleware; service composition; wireless sensor network application; Data processing; Filtering; Middleware; Monitoring; Random access memory; Sensors; Wireless sensor networks; adaptive middleware; optimization; resource management; service composition; wireless sensor network;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Technology: New Generations (ITNG), 2011 Eighth International Conference on
Conference_Location
Las Vegas, NV
Print_ISBN
978-1-61284-427-5
Electronic_ISBN
978-0-7695-4367-3
Type
conf
DOI
10.1109/ITNG.2011.119
Filename
5945317
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