Resumo:
The advent of the Internet of Things facilitates the connection and sharing of information
between objects, enabling the performance of tasks and interaction with other devices,
with the purpose of improving people’s quality of life across various applications. However,
this technological evolution still faces numerous challenges, among them energy efficiency,
particularly in edge devices such as sensors, which largely operate on battery power and
are installed in remote, difficult-to-access areas. Given this reality, it is proposed to create
a driver aimed at managing and optimizing data transmission in IoT devices, with a focus
on energy savings. This objective is achieved through the application of data clustering
techniques, which allows for the reduction of radio activation frequency and minimizes the
impact of overhead, crucial in communication protocols. The effectiveness of this solution
is assessed through its practical implementation.
In general, there was agreement between the theoretical and experimental results. However,
for connection-oriented protocols, such as Wi-Fi, efficiency in terms of overhead
is compromised by network latencies. Even in this scenario, with the use of the driver,
the current consumption is reduced by 12.82%, in addition to increasing the system’s
reliability and avoiding unnecessary redundant data transmission.
