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Smart Sensors and Sensor Networks (Selected Papers from MOCAST Conference)

A special issue of Sensors (ISSN 1424-8220).

Deadline for manuscript submissions: closed (31 December 2024) | Viewed by 1440

Special Issue Editors


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Guest Editor
Integrated Systems Laboratory, EPFL, Lausanne, Switzerland
Interests: sensor

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Guest Editor
Faculty of Computer Systems and Technologies, Department of Computer Systems, Technical University in Sofia, 8 Ohridski Blvd., 1000 Sofia, Bulgaria
Interests: artificial intelligence; mathematical modeling; control theory and applications; smart cities and smart grids
Special Issues, Collections and Topics in MDPI journals

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Special Issue Information

Dear Colleagues,

Smart sensors and sensor networks are advanced technologies that are increasingly present in various aspects of modern society and industry. Smart sensors are advanced devices with additional capabilities that collect, process, and transmit data about physical conditions or the environment, such as: temperature, humidity, pressure, brightness, sound, and more. These sensors are essentially complex mechatronic systems that use embedded processors and software to analyze the collected data, allowing them to make decisions or perform actions without direct human observation. Sensor networks are groups of these intelligent sensors that are interconnected, most often wirelessly, to collect and share data within a specific space or system. The ability of sensor networks to automatically process and exchange information makes them extremely useful for a wide range of applications, including environmental monitoring, smart buildings, precision agriculture, healthcare, industrial automation, autonomous cars, and many other fields. The proposed special session aims to showcase the most recent theoretical and experimental advancements in smart sensors and sensor networks. It will encompass a wide range of topics, from mathematical techniques for enhancing measurement accuracy to innovations in sensor materials and technologies. This scientific gathering will unite researchers from diverse academic disciplines to foster the exchange of knowledge, ideas, and collaboration within the multidisciplinary realm of sensor research. Moreover, the session will offer early-career scientists the chance to familiarize themselves with the latest developments, research trends, unresolved questions, and prospects in this dynamic field of study.

Prof. Dr. Sandro Carrara
Dr. Nikolay Hinov
Prof. Dr. Valeri Mladenov
Guest Editors

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Keywords

  • smart sensors
  • sensor networks
  • artificial intelligence

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Published Papers (1 paper)

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Research

26 pages, 8856 KiB  
Article
A 60 GHz Class-C Wide Tuning-Range Two-Core VCO Utilizing a Gain-Boosting Frequency Doubling Technique and an Adaptive Bias Scheme for Robust Startup
by Ioannis Dimitrios Psycharis, Vasileios Tsourtis and Grigorios Kalivas
Sensors 2025, 25(3), 981; https://doi.org/10.3390/s25030981 - 6 Feb 2025
Viewed by 625
Abstract
This paper presents the design and the performance of a wide tuning-range millimeter-wave (mm-wave) two-core class-C 60 GHz VCO in 40 nm CMOS process, which can be integrated into wireless communication transceivers and radar sensors. The proposed architecture consists of a two-core 30 [...] Read more.
This paper presents the design and the performance of a wide tuning-range millimeter-wave (mm-wave) two-core class-C 60 GHz VCO in 40 nm CMOS process, which can be integrated into wireless communication transceivers and radar sensors. The proposed architecture consists of a two-core 30 GHz fundamental VCO, a gain-boosted frequency doubler and an adaptive bias configuration. The two-core fundamental VCO structure achieves frequency generation in the vicinity of 30 GHz, where each VCO core targets a different frequency band. The two bands have sufficient overlap to accommodate for corner variations providing a large continuous tuning range. The desired frequency band is selected by activating or deactivating the appropriate VCO core, resulting in a robust switchless structure. This approach enables a considerably broad tuning range without compromising phase noise performance. Furthermore, the proposed topology utilizes an adaptive bias mechanism for robust start-up. Initially, the selected VCO core begins oscillating in class-B mode, and subsequently it transitions into class-C operation to offer improved performance. From post-layout simulations, after frequency doubling, the low-band VCO covers frequencies from 50.25 to 60.40 GHz, while the high-band VCO core spans frequencies from 58.8 to 73 GHz, yielding an overall tuning range of 36.92%. Owing to the gain-boosting topology, output power exceeds −14.2 dBm across the whole bandwidth. Simulated phase noise remains better than −92.1 dBc/Hz at a 1 MHz offset for all bands. Additionally, the two VCO cores never operate simultaneously, aiding in power efficiency. Full article
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