Compress\~ao de dados sem perdas para dispositivos IoT

TL;DR

This paper explores data compression techniques for IoT devices to reduce transmission costs and energy consumption, evaluating the performance of compression libraries on micro-controllers in constrained environments.

Contribution

It implements and assesses data compression libraries specifically tailored for IoT devices, addressing energy and processing constraints in wireless sensor networks.

Findings

Compression reduces data transmission volume.

Embedded libraries perform efficiently on micro-controllers.

Method improves energy efficiency in IoT communications.

Abstract

In environments with energy and processing constraints, such as sensor networks and embedded devices, sending raw information over wireless networks can be costly. In order to reduce the amount of transmitted data and ultimately save energy, we can compress data before transmission. In this paper, we tackle such problem in the IoT domain by deploying two widely used libraries to deliver asynchronous messages and data compression/decompression. We evaluate both our methodology and the compression/decompression performance of the embedded library in a micro-controller for IoT.