Skip to main navigation Skip to search Skip to main content

Edge Artificial Intelligence for Internet of Things Devices: Open Challenges

  • Vanessa Alvear
  • , Paul Rosero
  • , Vivian Lopez
  • , Diego Peluffo

Research output: Conference Article in Proceeding or Book/Report chapterArticle in proceedingsResearchpeer-review

Abstract

The advent of the Internet of Things (IoT) has witnessed a rapid proliferation of interconnected devices capable of sensing, collecting, and exchanging vast amounts of data. This data deluge has created a pressing need for efficient processing and analysis at the edge of the network, leading to the emergence of Edge Artificial Intelligence (AI) as a promising solution. Edge AI enables intelligent decision-making and real-time analytics on IoT devices, reducing the latency and bandwidth requirements associated with cloud-based processing. This paper aims to provide a comprehensive overview of the open challenges in deploying Edge AI for IoT devices. We identify and discuss key technical and practical challenges that hinder the widespread adoption and optimal utilization of Edge AI in the IoT ecosystem.
Original languageEnglish
Title of host publicationNew Trends in Disruptive Technologies, Tech Ethics and Artificial Intelligence
Number of pages7
Volume1452
PublisherSpringer
Publication date22 Jul 2023
Pages312-319
ISBN (Print)978-3-031-38343-4
ISBN (Electronic)978-3-031-38344-1
DOIs
Publication statusPublished - 22 Jul 2023
EventDisruptive Technologies, Tech Ethics and Artificial Intelligence - Salamanca, Salamanca, Spain
Duration: 21 Jun 202323 Jun 2023
https://link.springer.com/conference/dittet

Conference

ConferenceDisruptive Technologies, Tech Ethics and Artificial Intelligence
LocationSalamanca
Country/TerritorySpain
CitySalamanca
Period21/06/202323/06/2023
Internet address
SeriesAdvances in Intelligent Systems and Computing
ISSN2194-5357

Keywords

  • IoT
  • Edge devices
  • Deep learning
  • Machine Learning

Fingerprint

Dive into the research topics of 'Edge Artificial Intelligence for Internet of Things Devices: Open Challenges'. Together they form a unique fingerprint.
  • Hybrid Anomaly Detection Model on Trusted IoT Devices

    Rosero, P., István, Z., Tözün, P. & Hernandez, W., 7 Feb 2023, In: IEEE Internet of Things Journal. 10, 12

    Research output: Journal Article or Conference Article in JournalJournal articleResearchpeer-review

    Open Access
    File
  • Smart Farming Robot for Detecting Environmental Conditions in a Greenhouse

    Rosero, P., Gordillo, C. & Hernandez, W., 8 Jun 2023, In: IEEE Access. 11

    Research output: Journal Article or Conference Article in JournalJournal articleResearchpeer-review

    Open Access
  • Efficient Lightweight Cryptography Algorithm in IoT Devices with Real-time Criteria

    Rosero, P. & Alvear, V., 22 Apr 2022, Proceedings of the 7th International Conference on Internet of Things, Big Data and Security. Bastieri, D. & Willis, G. (eds.). SCITEPRESS Digital Library, p. 103-109 6 p.

    Research output: Conference Article in Proceeding or Book/Report chapterBook chapterResearchpeer-review

Cite this