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.
|Title of host publication||2012 3rd IEEE International Conference on the Internet of Things|
|Number of pages||8|
|Publication status||Published - 01.12.2012|
|Event||3rd International Conference on the Internet of Things - Wuxi, China|
Duration: 24.10.2012 → 26.10.2012
Conference number: 95420