Smart Sensors and Sensor Networks (Selected Papers from MOCAST Conference)
A special issue of Sensors (ISSN 1424-8220).
Deadline for manuscript submissions: 31 December 2024 | Viewed by 441
Special Issue Editors
Interests: sensor
Interests: artificial intelligence; electric vehicles; energy storage; mathematical modeling; control theory and applications; smart cities and smart grids; power electronic converters; power electronic systems
Special Issues, Collections and Topics in MDPI journals
Interests: electrical engineering; electronics; artificial intelligence; neural networks; power systems; applied mathematics; signal processing
Special Issues, Collections and Topics in MDPI journals
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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Planned Papers
The below list represents only planned manuscripts. Some of these manuscripts have not been received by the Editorial Office yet. Papers submitted to MDPI journals are subject to peer-review.
Title: A 30 GHz Class-C wide tuning-range two core VCO utilizing an adaptive bias technique for robust startup
Authors: Ioannis Dimitrios Psycharis; Vasileios Tsourtis; Grigorios Kalivas
Affiliation: Department of Electrical and Computer Engineering University of Patras Patras, Greece
Abstract: This paper presents the design and the performance of a large tuning-range millimeter wave (mm-wave) two core class-C VCO in 40nm CMOS technology. The proposed VCO utilizes an adaptive bias mechanism for robust start-up. Initially, the VCO begins oscillating in class-B mode and subsequently it transitions into class-C operation to offer improved performance. Frequency generation is achieved by employing two VCO cores, one targeting the low band of interest and the other operating at the high band. The desired 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 degrading phase noise performance. From simulations results the low-band VCO covers frequencies from 26 to 33 GHz, while the high-band VCO core operates in the 32.5-40 GHz band, yielding an overall tuning range of 38.75%. Simulated phase noise remains better than -97 dBc/Hz at a 1 MHz offset for all bands. Additionally, the two VCO cores never operate simultaneously, aiding in power efficiency.
