GoAT: A Sensor Ranking Approach for IoT Environments

Felipe Costa, Silvia Nassar, Mario Dantas, Mario Dantas

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.

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Paper Citation


in Harvard Style

Costa F., Nassar S. and Dantas M. (2021). GoAT: A Sensor Ranking Approach for IoT Environments. In Proceedings of the 11th International Conference on Cloud Computing and Services Science - Volume 1: CLOSER, ISBN 978-989-758-510-4, pages 169-177. DOI: 10.5220/0010403801690177


in Bibtex Style

@conference{closer21,
author={Felipe Costa and Silvia Nassar and Mario Dantas},
title={GoAT: A Sensor Ranking Approach for IoT Environments},
booktitle={Proceedings of the 11th International Conference on Cloud Computing and Services Science - Volume 1: CLOSER,},
year={2021},
pages={169-177},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010403801690177},
isbn={978-989-758-510-4},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 11th International Conference on Cloud Computing and Services Science - Volume 1: CLOSER,
TI - GoAT: A Sensor Ranking Approach for IoT Environments
SN - 978-989-758-510-4
AU - Costa F.
AU - Nassar S.
AU - Dantas M.
PY - 2021
SP - 169
EP - 177
DO - 10.5220/0010403801690177