Principal invites Prof. Edward Coyle, IEEE Fellow (Edward J. Coyle, John B. Peatman Distinguished Professor and GRA Eminent Scholar) from School of Electrical and Computer Engineering,Georgia Institute of Technology, to share his research results.
Introduction to the speaker：
Localtion: Lecture Hall I(A127), 1st floor of Science & Engineering Building II.
Optimal Clustered Architectures for the Collection of Data in Large-Scale IoT Applications
In large-scale Internet of Things (IoT) applications, making good decisions requires both fast and energy-efficient approaches to gathering data. This is a significant challenge when the data that must be gathered is spread across thousands of devices. To demonstrate this, we consider algorithms for gathering data from the smartphones of thousands of people at large events, such as a football game. When aggregation of data is possible, clustered communication architectures for gathering that data are appropriate. We thus derive multi-level clustering algorithms that minimize the energy expended when different levels of aggregation are required at different levels of the architecture. We also show how data can be gathered in a time-efficient manner in a single cluster by only collecting the most reliable data. The next step in this research must be to determine the most energy efficient approach to data collection when there is a fixed time to gather data from all clusters, not just one cluster.