Intelligence in Station-of-Things

Abstract

The study in this paper proposes a notion to represent a Station containing a Thing of interest termed as Station-of-Things. The proliferation in communication, computation and sensors technology has enabled to build intelligent station-of-things environments. A station-of-things is pertinent to many scenarios related to occupancy of chairs in a classroom, seats in a theatre or auditorium, cars in parking-lot, books in a bookshelf, etc. The use of occupancy of station and size by a thing leads to extract the information useful to derive intelligence for the station-of-things. In this paper, the proposed communication model, network architecture and experimental results demonstrate the merit of the work which lays a foundation to estimate and evaluate the occupancy along with the data-types or parameters suitable to enrich machine learning models to derive artificial intelligence.