An increasing number of sensors is being connected to the Internet and their output is published on theWeb, resulting in the formation of a Web of Things (WoT) that will soon connect tens of Billions of devices. 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 IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks, WoWMoM 2012 - Digital Proceedings|
|Number of pages||6|
|Publication status||Published - 24.09.2012|
|Event||13th IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks - San Francisco, United States|
Duration: 25.06.2012 → 28.06.2012
Conference number: 92704