Fuzzy-based sensor search in the Web of Things

Cuong Truong, Kay Römer, Kai Chen

Abstract

An increasing number of sensors is being connected to the Internet and their output is published on the Web, resulting in the formation of a Web of Things (WoT) that will soon connect tens of Billions of devices. As in the traditional web, search will be a key service also in the WoT to enable users to find sensors with certain properties. We propose sensor similarity search, where given a sensor, other sensors on the WoT are found that produced similar output in the past. At the heart of our approach is an algorithm that exploits fuzzy sets for efficiently computing a similarity score for a pair of sensors that is used to obtain a ranked list of matching sensors. Using sensor data sets from real deployments, we find that this approach results in a high accuracy.

OriginalspracheEnglisch
Titel2012 3rd IEEE International Conference on the Internet of Things
Seitenumfang8
Herausgeber (Verlag)IEEE
Erscheinungsdatum01.12.2012
Seiten127-134
Aufsatznummer6402314
ISBN (Print)978-1-4673-1347-6
ISBN (elektronisch)978-1-4673-1346-9
DOIs
PublikationsstatusVeröffentlicht - 01.12.2012
Veranstaltung3rd International Conference on the Internet of Things - Wuxi, China
Dauer: 24.10.201226.10.2012
Konferenznummer: 95420

Fingerprint

Untersuchen Sie die Forschungsthemen von „Fuzzy-based sensor search in the Web of Things“. Zusammen bilden sie einen einzigartigen Fingerprint.

Zitieren