Analyzing Impacts of Energy Dissipation on Scalable IoT Architectures for Smart Grid Applications

摘要

The large volume of data generated by vast number of smart meters necessitates intelligent methods and solutions for their real time exploitation for the necessary decision making. They also call for minimal human interaction and provide intelligence to devices so that they can sense the situation and act accordingly. One of the underlying technologies for realizing this requirement is IoT that employs wireless sensor networks wherein sensors work as observational devices for the environment. Also, physical devices tend to add up every day and hence we need to prepare for a scalable IoT architecture. The need of a big network, to develop a scalable architecture for handling massive data generated by sensor devices is the main focus of our article. We propose an architecture that would help data collection from a smart grid network that can dynamically grow and study the impact on energy consumptions for such networks.