Researchers from the Indian Institute of Technology, Jodhpur, Indian Institute of Information Technology, Guwahati and Indian Institute of Technology, Kharagpur teamed up to develop a novel framework to improve the Internet of Things (IoT) systems’ performance. Context-aware Data Generation (CaDGen), the extreme edge-based data pre-processing framework developed by the team, has two modules. One of the researchers explained that they sought to address the problems of resource wastage and data irrelevance through the development of novel algorithms.
The cutting-edge proposal by these institutes aims to cut the cost of data management significantly. It brings out architectures and algorithms to enhance the efficiencies in data collection and transmission operations of IoT systems. This way, the end-users will get effective service architecture in IoT devices and applications.
Suchetana Chakraborty, assistant professor at the Department of Computer Science and Engineering, IIT Jodhpur commented, “The Internet of Things (IoT) is considered the next Industrial Revolution because it is slowly changing our lives. We have already started connecting everyday objects to the internet via embedded devices; smart homes are already a reality and with advancements in Artificial Intelligence, IoT systems are enabling functional robots, self-driving cars, among others.” Chakraborty observes a growing interest to share IoT services among ecosystems.
The researchers summarized, “We believe that such an approach can suit various smart environments in a connected living setup that minimizes the cost of data management while providing an effective service architecture for end-users.”
