Multi-Step Reasoning for IoT Devices

BLANCO SÁNCHEZ, José Miguel and Bruno ROSSI. Multi-Step Reasoning for IoT Devices. In Proceedings of the 18th International Conference on Evaluation of Novel Approaches to Software Engineering (ENASE 2023). Not specified: SciTePress, 2023, p. 330-337. ISBN 978-989-758-647-7. Available from: https://dx.doi.org/10.5220/0011772700003464.

Basic information

• Original name: Multi-Step Reasoning for IoT Devices
• Authors: BLANCO SÁNCHEZ, José Miguel (724 Spain, guarantor) and Bruno ROSSI (380 Italy, belonging to the institution).
• Edition: Not specified, Proceedings of the 18th International Conference on Evaluation of Novel Approaches to Software Engineering (ENASE 2023), p. 330-337, 8 pp. 2023.
• Publisher: SciTePress

Other information

• Original language: English
• Type of outcome: Proceedings paper
• Field of Study: 10200 1.2 Computer and information sciences
• Confidentiality degree: is not subject to a state or trade secret
• Publication form: printed version "print"
• RIV identification code: RIV/00216224:14330/23:00130660
• Organization unit: Faculty of Informatics
• ISBN: 978-989-758-647-7
• ISSN: 2184-4895
• Doi: http://dx.doi.org/10.5220/0011772700003464
• UT WoS: 001119034200029
• Keywords in English: Internet of Things (IoT); Web of Things (WoT); Semantic Reasoning
• Tags: International impact, Reviewed

Abstract

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.

Links

• CZ.02.1.01/0.0/0.0/16_019/0000822, interní kód MU(CEP code: EF16_019/0000822): Name: Centrum excelence pro kyberkriminalitu, kyberbezpečnost a ochranu kritických informačních infrastruktur (Acronym: C4e)

Investor: Ministry of Education, Youth and Sports of the CR, CyberSecurity, CyberCrime and Critical Information Infrastructures Center of Excellence, Priority axis 1: Strengthening capacities for high-quality research

• EF16_019/0000822, research and development project: Name: Centrum excelence pro kyberkriminalitu, kyberbezpečnost a ochranu kritických informačních infrastruktur