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.
| Original language | English |
|---|---|
| Title of host publication | 2012 3rd IEEE International Conference on the Internet of Things |
| Number of pages | 8 |
| Publisher | IEEE |
| Publication date | 01.12.2012 |
| Pages | 127-134 |
| Article number | 6402314 |
| ISBN (Print) | 978-1-4673-1347-6 |
| ISBN (Electronic) | 978-1-4673-1346-9 |
| DOIs | |
| 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 |
