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. 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.
Truong REF propose a method for searching similar IoT sensors, computing a similarity score based on fuzzy sets.
Sensor similarity search in the Web of Things
2012 IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM)
2012 IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM)
Computer Science