DocumentCode :
3652627
Title :
Content-based sensor search for the Web of Things
Author :
Cuong Truong;Kay Römer
Author_Institution :
Inst. of Comput. Eng., Univ. of Lubeck, Lü
fYear :
2013
Firstpage :
2654
Lastpage :
2660
Abstract :
In the emerging Web of Things (WoT), the real-time state of real-world objects is published by Internet-connected sensors using Web technologies. A key service in the WoT will be a search engine that allows searching for real-world objects with a certain state. We propose content-based sensor search, where given a search query that is composed of a range of sensor values, sensors that have been reading values in that range at the time of the query are found. In this paper, we present an approach based on fuzzy sets to realize scalable content-based sensor search in the WoT. Using sensor data sets obtained from real deployments, we find that our approach results in a low communication overhead. To demonstrate the practical feasibility of our approach, we implemented a prototypical search engine that enables the user to search for sensors that are available on the Web.
Keywords :
"Temperature measurement","Predictive models","Stability analysis","Density measurement","Search engines","Temperature sensors","Thermal stability"
Publisher :
ieee
Conference_Titel :
Global Communications Conference (GLOBECOM), 2013 IEEE
Type :
conf
DOI :
10.1109/GLOCOM.2013.6831475
Filename :
6831475
Link To Document :
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