Low-Power Embedded Systems Design for Intelligent Monitoring

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Computer Science & Engineering".

Deadline for manuscript submissions: 30 April 2025 | Viewed by 201

Special Issue Editors


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Guest Editor
School of Information Technology, Deakin University, Waurn Ponds 3217, VIC, Australia
Interests: Internet of Things; embedded systems; e-health; environmental monitoring
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
School of Engineering, University of Southern Queensland, Toowoomba 3250, QLD, Australia
Interests: Internet of Things; embedded systems; telecommunications

Special Issue Information

Dear Colleagues,

The primary aim of the Internet of Things is constant, continuous, and autonomous monitoring. Due to their large-scale deployability, such IoT sensors have been widely used in industries as well as public spaces. More recently, due to the reduction in the cost of components, sensors or edge devices have also been deployed for environmental monitoring. There has been an increase in computational capacity of low-power microprocessors that can be used to design such edge devices. This has enabled a wide range of edge computing tools that can perform intelligent monitoring with reduced power consumption. In some cases, such devices may involve Edge AI to make localized decisions, or in other cases, they may focus on efficient communication.

In this Special Issue, original research articles and reviews regarding the design of edge devices (or smart sensor devices) and any associated cloud platforms for intelligent monitoring and decision making are welcome. It can also focus on intelligence on the edge or investigate the complex relationship between power and computational flexibility for edge computing.

Research areas may include (but are not limited to) the following:

  • Autonomous edge computing;
  • Monitoring applications based on IoT;
  • LPWAN or other communication mechanisms;
  • Micro-controllers and corresponding embedded system designs;
  • Sensors and low-power sensing mechanisms.

Dr. Ananda Maiti
Prof. Dr. Alexander A. Kist
Guest Editors

Manuscript Submission Information

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Keywords

  • edge computing
  • sensors
  • communication networks
  • monitoring
  • machine learning
  • artificial intelligence

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Published Papers

This special issue is now open for submission.
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