Multi-Step Reasoning for IoT Devices

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Multi-Step Reasoning for IoT Devices

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Multi-Step Reasoning for IoT Devices

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

10200 - Computer and information sciences

Projekt

<a href="/cs/project/EF16_019%2F0000822" target="_blank" >EF16_019/0000822: Centrum excelence pro kyberkriminalitu, kyberbezpečnost a ochranu kritických informačních infrastruktur</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2023

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Proceedings of the 18th International Conference on Evaluation of Novel Approaches to Software Engineering (ENASE 2023)

ISBN

9789897586477

ISSN

2184-4895

e-ISSN

—

Počet stran výsledku

8

Strana od-do

330-337

Název nakladatele

SciTePress

Místo vydání

Not specified

Místo konání akce

Prague, Czech Republic

Datum konání akce

24. 4. 2023

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

001119034200029