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A Sensor Ranking Approach for Edge–Fog–Cloud Environments

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Abstract

This research work presents a method for ranking sensors using the data produced by these devices. The method classifies the data, identifying the occurrence of failures in sensors and anomalies in the environments, aiming to maintain a reliability-based sensor ranking list. To generate the ranking list, overcoming the challenges implicit in this activity, the method adopts the theory of active perception as a basis. This approach divides the perception activity into levels that progressively add more sense to the information generated by the sensor, thus providing more reliability to the task of classifying the data generated by the sensors, without spending resources. This step allows you to create the ranking list in which the most reliable sensors will be at the top of the list. This list is managed through a distributed hash table to meet the distributed requirement of the Internet-of-Things (IoT) environment. The proposal was evaluated using four real data sets. The results of this research demonstrate that the proposed approach can provide high reliability in the use of sensor data, using low computational resources and, thus, reducing latency in the processes of selection and use of sensors.

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Data availability

All datasets are available at the following link: https://github.com/felipekosta/SNCS_datasets.

Notes

  1. Mica2Dot is a board used to enable low-power wireless sensor networks that allows connecting various types of sensors.

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Funding

This research is funded by the Federal University of Santa Catarina and by the Federal Institute of Santa Catarina.

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Authors and Affiliations

  1. Department of Informatics and Statistics (INE), Federal University of Santa Catarina (UFSC), Florianopolis, Brazil

    Felipe S. Costa & Silvia M. Nassar

  2. Department of Computer Science (DCC), Federal University of Juiz de Fora (UFJF), Juiz de Fora, Brazil

    Mario A. R. Dantas

  3. INESC P&D Brazil, Santos, Brazil

    Mario A. R. Dantas

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  1. Felipe S. Costa
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Correspondence to Felipe S. Costa.

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This article is part of the topical collection “Cloud Computing and Services Science” guest edited by Donald Ferguson, Markus Helfert and Claus Pahl.

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Costa, F.S., Nassar, S.M. & Dantas, M.A.R. A Sensor Ranking Approach for Edge–Fog–Cloud Environments. SN COMPUT. SCI. 4, 392 (2023). https://doi.org/10.1007/s42979-023-01826-w

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