Principal Investigator & Head of Research Cell:
Dr. MD Shahrukh Adnan Khan
IBDRCC jointly with High Impact IoT Research Lab to incorporate exclusive IoT devices and big data in smart education system. At the same time, the research cell includes project on intelligent building, smart healthcare, cloud and developing smart interfaces. The Internet of Things (IoT) is a fundamental part of next-generation advanced technological enhancements. The world is moving with incredible speed towards high-tech cutting-edge smart city concepts, which are the ultimate goal of next-generation technology. IoT is the backbone of smart cities at different security levels, education, corporate industries, and so on. As a matter of fact, countries who have been investing in IoT & big data-based research over recent years will have an advantage in making themselves compatible with the next-generation smart city concept, and will be years ahead compared to other countries. It is high time for developed and developing countries to have reputed and experienced researchers come forward and conduct research on IoT-based smart technologies in various research areas such as transport, smart home energy management with distributed renewables, crowd energy, energy harvesting with real time control systems, renewable energy with hybrid interfaces, advanced robotics, advanced electrical machines, biomedical fields, smart grid and so on. With a view to taking the world to the next high-tech level and making it compatible with the next-generation smart city concept, IBDRCC conducts high impact research from EEE Department involving international research expertise.
The paper investigates a few of the major areas of the next generation technological advancement, "smart city planning concept". The areas that the paper focuses are vehicle to grid (V2G), sun to vehicle (S2V), and vehicle to infrastructure (V2I). For the bi-directional crowd energy single entity concept, V2G and building to grid (B2G) are the primary parts of distributed renewable generation (DRG) under smart living. This research includes an in-depth overview of this three major areas. Next, the research conducts a case analysis of V2G, S2V, and V2I along with their possible limitations in order to find out the novel solutions for future development both for academia and industry levels. Lastly, few possible solutions have been proposed to minimize the limitations and to develop the existing system for future expansion.