Adaptive Batching Scheme for Real-Time Data Transfers in IoT Environment
Chihyun Cho, Byonggon Chun, Ji-Hwan Seo · 2017
Internet of Things (IoT) is one of the most desirable and interesting technologies over the past decades. As the paradigm shifts to communication between machine to machine with electronic data interchange, our society is digitizing where large volumes of data need to be managed and processed. In this paper, we propose an efficient batching scheme introducing an edge system to enhance the performance of data processing. The proposed approach addresses an adaptive scheduling based on network channel condition to transfer real-time stream data from source device to cloud system. Result of the simulation shows that the proposed approach allows more reliable data transfers that help maximizing network channel utilization to be practical and operational than the existing scheme.