2019 Volume 27 Pages 701-710
Due to the recent prevalence of IoT (Internet of Things) devices, streaming data such as video data or sensor data are collected and analyzed for real-time applications. The transaction time for data collection and analysis is one of the main factors to improve performance of some real-time IoT applications. For instance, in real-time surveillance camera systems, a shorter transaction time further reduces the delay to find thieves recorded by the cameras. However, computational and communication capacities of processing computers give lower limits to transaction time. To break this limitation, we propose an efficient data collection method using a progressive quality improvement approach. In our proposed method, each data source produces some content data of those qualities are lower than the quality of the original content data such as low resolution image data. Only the cases where higher quality data are needed for analyses, the processing computer progressively collects them. Thus, by reducing the average data amount of collections and for analyses, our proposed method reduces the average transaction time. We measured the transaction time of our proposed method in our developed simulator and confirmed that our proposed method can reduce the transaction time.
