Návrh a optimalizace kompresních algoritmů pro potřeby nízkoenergetického bezdrátového přenosu dat z vestavěných monitorovacích zařízení

Abstract

The main objective of this dissertation is to propose a hybrid edge computing strategy combining discrete wavelet transform and fuzzy data transfer control for environmentally powered devices. This approach significantly reduces the amount of data transferred and the energy required for transmission.

Data compression is an everyday means of saving memory capacity and transferring data quickly. For systems that monitor environmental parameters and are often located in remote locations, the need for efficient compression is even greater. In wireless sensor networks, the focus is primarily on reliability and energy independence.

The basis of this dissertation is a discrete wavelet transform as a means of data compression and a fuzzy logic controller that controls data transmission based on available energy, prediction of future energy, and the amount of approximation coefficients in memory. This work contributes to a method for incrementally refining data on the cloud and reducing the amount of data during transmission depending on the available energy of the device.