Multi-Step Reasoning for IoT Devices
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F23%3A00130660" target="_blank" >RIV/00216224:14330/23:00130660 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.5220/0011772700003464" target="_blank" >http://dx.doi.org/10.5220/0011772700003464</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.5220/0011772700003464" target="_blank" >10.5220/0011772700003464</a>
Alternative languages
Result language
angličtina
Original language name
Multi-Step Reasoning for IoT Devices
Original language description
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.
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
10200 - Computer and information sciences
Result continuities
Project
<a href="/en/project/EF16_019%2F0000822" target="_blank" >EF16_019/0000822: CyberSecurity, CyberCrime and Critical Information Infrastructures Center of Excellence</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the 18th International Conference on Evaluation of Novel Approaches to Software Engineering (ENASE 2023)
ISBN
9789897586477
ISSN
2184-4895
e-ISSN
—
Number of pages
8
Pages from-to
330-337
Publisher name
SciTePress
Place of publication
Not specified
Event location
Prague, Czech Republic
Event date
Apr 24, 2023
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
001119034200029