A Framework for Multi-Sensor Data fusion in the Context of IoT Smart City Parking Data

Abstract Now a day, things are communicating using the Internet, In context of smart city all interconnected and they transferring data to each other. Smart subapplications like parking, pollution, traffic, transportation some examples. By internet, we can combine with communication, big challenge in multi-sensory environment fetch meaning full from sensors. There many methods used analyse mine IoT classification, clustering, association rule, regression, etc. The is collected on Internet Things (IoT) heterogeneous sources different formats. Data Fusion method operate fused that sources. case IoT, concept distributed fusion work well. One popular applications City, where collect analysis them according need. this research paper, researcher introduced new framework type sub-application. deployment done by parking set cities.