A Fast Density-Based Clustering Algorithm for Real-Time Internet of Things Stream

A Fast Density-Based Clustering Algorithm for Real-Time Internet of Things Stream

Data streams are continuously generated over time from Internet of Things (IoT) devices. The faster all of this data is analyzed, its hidden trends and patterns discovered, and new strategies created, the faster action can be taken, creating greater value for organizations. Density-based method is a prominent class in clustering data streams. It has the ability to detect arbitrary shape cluster...

Data Stream Clustering in Internet of Things

According to Gartner, by year 2020, revenue generated from Internet of Thing’s (IOT) products and services will exceed $300 billion. When discussing about IOT, the thing that keeps visiting our mind, is the huge amount of data stream that is getting generated by the use of IOT applications. The data stream is different from the traditional data as only one scan is possible for mining because of...

improvement of Location-based Algorithm in the Internet of Things

Location Based Services (LBS) has become an important field of research with the rapid development of Internet-based Information Technology (IOT) technology and everywhere we use smartphones and social networks in our everyday lives. Although users can enjoy the flexibility, facility, facility and location-based services (LBS) with the Internet of Things, they may lose their privacy. An untrust...

A Graph-Based Cloud Architecture for Big Stream Real-Time Applications in the Internet of Things

The Internet of Things (IoT) will consist of billions of interconnected heterogeneous devices denoted as “smart objects.” Smart objects are generally sensor/actuatorequipped and have constrained resources in terms of: (i) processing capabilities; (ii) available ROM/RAM; and (iii) communication reliability. To meet low-latency requirements, real-time IoT applications must rely on specific archit...

\"Internet of Things\": An Emerging Real-Time Technology for Environmental Health Monitoring