Fuzzy-based sensor search in the Web of Things

Cuong Truong, Kay Römer, Kai Chen


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.

Original languageEnglish
Title of host publication2012 3rd IEEE International Conference on the Internet of Things
Number of pages8
Publication date01.12.2012
Article number6402314
ISBN (Print)978-1-4673-1347-6
ISBN (Electronic)978-1-4673-1346-9
Publication statusPublished - 01.12.2012
Event3rd International Conference on the Internet of Things - Wuxi, China
Duration: 24.10.201226.10.2012
Conference number: 95420


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