Data intelligence on the Internet of Things
Résumé
The Internet of Things, which enables the interconnection, interoperation, and collaboration between smart things, allows collecting data from various sources, including GPS data of vehicles, real-time traffic data of road cameras, weather data (e.g., temperature or air quality data) from environment sensors and user-generated contents (e.g., tweets, micro-blog, check-ins, photos) from mobile social APPs. In fact, sensory data have been widely available in large volume and variety nowadays. Sensory data exhibit specific characteristics, including multi-sources, heterogeneous, large-scale, real-time streaming, continuous, ever-expanding, and spatial-temporal. Traditional approaches or platforms are limited in processing these sensory data, which are big data actually. The engineering and intelligence on sensory data covers the theories and technologies of different disciplines to provide efficient processing and smart analysis. Intensive research is required on sensory data engineering and intelligence. This special issue, as a dedicated forum, aims for the scientific and industrial community to present their novel models, methodologies, techniques, and solutions which can address theoretical and practical issues. It is worth mentioning that the majority of submissions are the selected papers with high quality which have been reported at the 2015 Smart World Congress. These selected papers are seriously improved and recommended to this special issue