Technology & Communication
Research & Development
Identify core IoT technologies for eco-friendly, reliable solutions through edge computing to foster R&D and address challenges.
These technologies target on addressing challenges reliable IoT, Eco-friendly IoT and easy to develop IoT together by giving solutions through edge computing.
The multi-disciplinary technical verticals of IoT are Sensors & sensor network, Low power & energy constrained devices, Communication protocol & security, Data analytics & machine learning and Real-time control, & estimation.
Innovative and distinct technologies that have large impact through its applicability in multiple use-case and aimed at building core and unique multidisciplinary expertise.
While solving the problems through edge computing, the carbon footprint is likely to have significant reduction as compared to the cloud computing methods.
However, edge computing solutions further pose challenges on data integrity and distributed decision making.
Data analytics & AI learning
The multi-disciplinary technical verticals of IoT are Sensors & sensor network, Low power & energy constrained devices, Communication protocol & security, Data analytics & machine learning and Real-time control, planning & estimation.
The challenges arising from integration of these technical verticals along with the challenges mentioned above are addressed through the development of following core technologies
a) Categorization of cases depending on the data collection frequencies and communication rate.
b) Providing analyzing tools for data interpretations through state estimation parameters.
c) Providing tools for checking feasibility of a use-case based on IoT structure design under various categories.
Figure: Integration of Technical Verticals and their