Authors:
Felipe S. Costa
1
;
Silvia M. Nassar
1
and
Mario A. R. Dantas
2
;
3
Affiliations:
1
1Department of Informatics and Statistic, Federal University of Santa Catarina (UFSC), Florianopolis, Brazil
;
2
Department of Computer Science, Federal University of Juiz de Fora (UFJF), Juiz de Fora, Brazil
;
3
INESC P&D, Santos, Brazil
Keyword(s):
Sensor, Ranking, Active Perception, Middleware, IoT, Industry 4.0, Latency, Reliability.
Abstract:
The data collected and transmitted by the sensors, in the Internet of Things environment, must be stored and processed in order to enable Smart Cities and Industry 4.0. However, due to the growth of number of devices, it becomes necessary to implement techniques to select most suitable sensors for each task. This approach is important to make possible to execute applications, where low latency requirements are present. Thus, several works were dedicated to the study on how to search, index, and rank sensors to overcome these challenges. A method, called GoAT, is presented in this paper to rank sensors based on the theory of active perception. The solution was evaluated using four real datasets. Our results successfully demonstrate that the proposal solution can provide an interesting level of reliability of the utilization of sensor data. Furthermore, GoAT requires a low computational resource, and at the same time, reduces latency in the sensor selection process.