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@inproceedings{2278182,
author = {Blanco Sánchez, José Miguel and Rossi, Bruno},
address = {Not specified},
booktitle = {Proceedings of the 18th International Conference on Evaluation of Novel Approaches to Software Engineering (ENASE 2023)},
doi = {http://dx.doi.org/10.5220/0011772700003464},
keywords = {Internet of Things (IoT); Web of Things (WoT); Semantic Reasoning},
howpublished = {tištěná verze "print"},
language = {eng},
location = {Not specified},
isbn = {978-989-758-647-7},
pages = {330-337},
publisher = {SciTePress},
title = {Multi-Step Reasoning for IoT Devices},
year = {2023}
}
TY - JOUR
ID - 2278182
AU - Blanco Sánchez, José Miguel - Rossi, Bruno
PY - 2023
TI - Multi-Step Reasoning for IoT Devices
PB - SciTePress
CY - Not specified
SN - 9789897586477
KW - Internet of Things (IoT)
KW - Web of Things (WoT)
KW - Semantic Reasoning
N2 - Internet of Things (IoT) devices are constantly growing in numbers, forecasted to reach 27 billion in 2025. With such a large number of connected devices, energy consumption concerns are a major priority for the upcoming years. Cloud / Edge / Fog Computing are critically associated with IoT devices as enablers for data communication and coordination among devices. In this paper, we look at the distribution of Semantic Reasoning between IoT devices and define a new class of reasoning, multi-step reasoning, that can be associated at the level of the edge or fog node in the context of IoT devices. We conduct an experiment based on synthetic datasets to evaluate the performance of multi-step reasoning in terms of power consumption, memory, and CPU usage. Overall we found that multi-step reasoning can help in reducing computation time and energy consumption on IoT devices in the presence of larger datasets.
ER -
BLANCO SÁNCHEZ, José Miguel a Bruno ROSSI. Multi-Step Reasoning for IoT Devices. In \textit{Proceedings of the 18th International Conference on Evaluation of Novel Approaches to Software Engineering (ENASE 2023)}. Not specified: SciTePress, 2023, s.~330-337. ISBN~978-989-758-647-7. Dostupné z: https://dx.doi.org/10.5220/0011772700003464.
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