Fog Computing for Telemetry Gathering from Moving Objects

摘要

The paper describes two approaches to gathering measurement data about moving objects in wireless networks. The use of Fog computing technology makes it possible to relocate a part of calculations closer to measuring devices. The first approach suggests an estimation of telemetry quality into measuring points. The second approach uses prediction of telemetry quality by mining models. As a result, it became possible not only to redistribute the computational load, but also to significantly reduce the network traffic, which in turn brings the possibility to decrease the requirements for communication channels bandwidth and to use wireless networks for gathering telemetry.