Transport services within the IoT ecosystem using localisation parameters
Zacharenia Garofalaki, Dimitrios Kallergis, Georgios Katsikogiannis, Ioannis Ellinas, Christos Douligeris · 2016
Within the Internet of Things (IoT) ecosystem, there is a need to interconnect networks of sensors and smart objects in a way that they can intelligently interact with humans. In most cases, these networks have been implemented following the machine-to-machine (M2M) communication disciplines. To adequately design such an emerging system which also has legacy technology characteristics, it is crucial to adopt an architecture reference model. In the context of this work, an architecture and characteristics assessment is conducted to form a roadmap of evolution from an M2M solution to an IoT in the field of Autonomous Vehicles (AVs). Then, an architecture for an AV prototype within the IoT ecosystem is proposed; the intelligent Bus on Campus (iBuC). The respective services are illustrated through a customised real-life scenario.