Ultra-Low Power Smart Sensor Networks and IoT Devices
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Sensor Networks".
Deadline for manuscript submissions: closed (31 July 2022) | Viewed by 400
Special Issue Editors
Interests: energy-efficient embedded systems; IoT; self-adaptive systems; memory-based computing; NoC-based SoC
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Tens of billions of connected devices are foreseen for 2030, with an annual generated data volume of zettabytes. The dominant cost of communications and the need for short response times, as well as privacy concerns, have led to the emergence of embedded-computing artefacts, such as edge computing, embedded AI and smart sensors. Many efforts have been made to enhance the processing capabilities and communication efficiency of devices with limited resources and energy in many domains, such as health, industry and agriculture. However, the vast majority of existing smart devices are still limited by the inevitable repeated battery charge cycles. Substantial progress remains vital to allow sustainable devices that can combine high processing capabilities and long lifetimes. New enablers at the level of processor and system architectures, memory technologies, circuit design, and interconnect and communication protocols are yet to be invented.
This Special Issue aims to provide an opportunity to present recent research works on ultra-low-power sensor networks, edge devices and IoT systems with significant processing capabilities over time. Original papers are welcome for submission. Research topics of interest include, but are not limited to, the following:
- New computing paradigms for high-energy efficiency;
- Adaptive computing and energy-proportional computing;
- Near memory, in-memory, and memory-based computing;
- Self-powered systems;
- Ultra-low power wearables;
- Energy-efficient communication protocols.
Dr. Jean-Philippe Diguet
Prof. Dr. Amer Baghdadi
Guest Editors
If you want to learn more information or need any advice, you can contact the Special Issue Editor Bell Ding via <Bell.ding@mdpi.com>
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