Journal Information
Sensors (Sensors)
http://www.mdpi.com/journal/sensors
Impact Factor:
3.031
Publisher:
MDPI
ISSN:
1424-8220
Viewed:
23728
Tracked:
27
Call For Papers
Journal Open for Submission
https://susy.mdpi.com/user/manuscripts/upload/d63bcb6dc1e06bf5bde439da70e2815e?pre_hash_key=d29661cd8958cc923333f6a84ea31dc5

Special Issue Proposal - Open for Application
https://www.mdpi.com/journalproposal/sendproposalspecialissue/sensors

Sensors 2021 Young Investigator Award
Amount: 2000 CHF
Nomination deadline: 30 June 2021
https://www.mdpi.com/journal/sensors/awards/submit/1338

Sensors 2021 Ph.D. Thesis Award
Amount: 1000 CHF
Application deadline: 31 August 2021
https://www.mdpi.com/journal/sensors/awards/submit/1249

Detailed description of all awards:
https://www.mdpi.com/journal/sensors/awards

Sensors (ISSN 1424-8220) provides an advanced forum for the science and technology of sensor and its applications. It publishes reviews (including comprehensive reviews on the complete sensors products), regular research papers and short notes. Our aim is to encourage scientists to publish their experimental and theoretical results in as much detail as possible. The full experimental details must be provided so that the results can be reproduced. There are, in addition, three unique features of this journal:
    
Manuscripts regarding research proposals and research ideas are particularly welcome.
Electronic files and software providing full details of calculation and experimental procedures can be deposited as supplementary material.  
We also accept manuscripts regarding research projects financed with public funds in order that reach a broader audience.

Scope
    Physical sensors
    Chemical sensors
    Biosensors
    Lab-on-a-chip
    Remote sensors
    Sensor networks
    Smart/Intelligent sensors
    Sensor devices
    Sensor technology and application
    Sensing principles
    Optoelectronic and photonic sensors
    Optomechanical sensors
    Sensor arrays and Chemometrics
    Micro and nanosensors
    Internet of Things
    Signal processing, data fusion and deep learning in sensor systems
    Sensor interface
    Human-Computer Interaction
    Advanced materials for sensing
    Sensing systems
    MEMS/NEMS
    Localization and object tracking
    Sensing and imaging
    Image sensors
    Vision/camera based sensors
    Action recognition
    Machine/deep learning and artificial intelligence in sensing and imaging
    3D sensing
    Communications and signal processing
    Wearable sensors, devices and electronics
Last updated by Jayleen Chen in 2021-03-18
Special Issues
Special Issue on Three-Dimensional (3D) Biophotonics Sensing and Reconstruction towards Biomedical Research
Submission Date: 2022-05-31

Dear Colleagues, The purpose of emerging biophotonics sensors, including simultaneous hardware and software development, is to enable the observation of biological cells, organisms, and systems with a high sensitivity, accuracy, and spatial and temporal resolutions. Such achievements have unraveled novel dynamics and mechanism of biological systems, hence encouraging the scientific community to advance the design and implementation of novel three-dimensional imaging sensing and reconstruction methods. This Special Feature calls for innovative and original contributions in the development of imaging sensing and reconstruction approaches that extend the capabilities of existing techniques in terms of spatial resolution, imaging depth, imaging speed, or any other feature relevant for biomedical research. Topics of interest include, but are not limited to, the following: Development and performance of new detectors. Development and performance of new sources and light-shaping devices. Development and performance of novel three-dimensional imaging sensing systems. Investigation of new features and applications using imaging reconstruction post-processing technologies. Development and performance of new computational imaging approaches, for instance, compressive sensing and machine learning techniques, including different and adapted versions of deep neural network (DNN) strategies. Dr. Ana Doblas Dr. Carlos Trujillo Guest Editors Sensors is an open-access journal indexed by SCI, SSCI, Scopus, and PubMed. According to Web of Science, Sensors ranks 14/64 (Q1) in the "Instruments & Instrumentation" category; 26/83 (Q2) in the "Chemistry, Analytical" category; and 82/273 (Q2) in the "Engineering, Electrical & Electronic" category. A free English editing service could be provided after a paper has been accepted. The article processing charge (APC) is CHF 2400 (Swiss Francs) per accepted paper. Please do not hesitate to contact the Editorial Office (sensors@mdpi.com) if you require any further information. We hope that you will accept our invitation, and we look forward to collaborating in the future.
Last updated by Jason Liu in 2022-02-11
Special Issue on Advances in Sparse Sensor Arrays
Submission Date: 2022-06-10

Special Issue "Advances in Sparse Sensor Arrays" https://www.mdpi.com/journal/sensors/special_issues/SS_A Dear Colleagues, Sparse arrays, such as coprime and nested arrays, have recently attracted considerable attention for their application in improving active and passive sensing in radar, navigation, underwater acoustics and wireless communications. Sparse array signal processing provides a systematical framework for sparse sampling and array structure with enlarged aperture, enhanced spatial resolution, increased degrees of freedom (DOFs) and reduced mutual coupling. Difference-co-array-based approaches, e.g., spatial smoothing technique based algorithms, Toeplitz-property-based algorithms and sparse reconstruction methods, can circumvent spatial aliasing and offer unique a response to targets with sparse sampling in time, space and frequency. Temporal and spatial sparse samplings encounter merits in direction of arrival (DOA) estimation and adaptive beamforming. Potential topics include but are not limited to the following: Generalizations of co-prime and nested arrays for increased DOFs Array geometry optimization for high-accuracy DOA estimation Sparse array calibration and mutual coupling effect Convex and nonconvex optimizations related to array signal processing Off-grid and grid-less solutions to super-resolution Sparse-recovery-based methods for DOA estimation Robust DOA estimation in low SNR or small snapshot number Multi-dimensional sparse array signal processing Hardware implementation and design Applications to sonar, radar, MRI, geolocation, and other areas Prof. Dr. Xiaofei Zhang Guest Editor Sensors is an open-access journal indexed by SCI, SSCI, Scopus, and PubMed. According to Web of Science, Sensors ranks 14/64 (Q1) in the "Instruments & Instrumentation" category; 26/83 (Q2) in the "Chemistry, Analytical" category; and 82/273 (Q2) in the "Engineering, Electrical & Electronic" category. A free English editing service could be provided after a paper has been accepted. The article processing charge (APC) is CHF 2400 (Swiss Francs) per accepted paper. Please do not hesitate to contact the Editorial Office (sensors@mdpi.com) if you require any further information. We hope that you will accept our invitation, and we look forward to collaborating in the future.
Last updated by Jason Liu in 2022-02-11
Special Issue on Developing New Methods of Computational Intelligence and Data Mining in Smart Sensors Environment 2022
Submission Date: 2022-06-10

Special Issue "Developing New Methods of Computational Intelligence and Data Mining in Smart Sensors Environment 2022" https://www.mdpi.com/journal/sensors/special_issues/SE_2022 Dear Colleagues, Machine learning and computational intelligence methods, especially deep learning, can be used to create smart sensors that can perform testing, classification, or prediction. The whole menagerie of sensors, including inductive proximity sensors, photoelectric retroreflective sensors, ultrasonic sensors, and others, can be beneficial to all areas—from Industry 4.0 through cars to smart offices, homes, or hospitals. Synergistic hyperconnectivity brought by the emergence of the IoT will increase the applicability of such intelligent sensors. This Special Issue is addressed to all soft computing methods enabling in-sensor, edge, and similar computing for machine vision, data acquisition, or diagnostics. The methods covered will include deep learning, fuzzy logic, evolutionary methods, and various data mining techniques. Keywords sensor networks smart/intelligent sensors sensor devices sensor technology and application sensing principles Internet of Things fuzzy logic data mining data fusion and deep learning in sensor systems Dr. Rafal Scherer Guest Editor Sensors is an open-access journal indexed by SCI, SSCI, Scopus, and PubMed. According to Web of Science, Sensors ranks 14/64 (Q1) in the "Instruments & Instrumentation" category; 26/83 (Q2) in the "Chemistry, Analytical" category; and 82/273 (Q2) in the "Engineering, Electrical & Electronic" category. A free English editing service could be provided after a paper has been accepted. The article processing charge (APC) is CHF 2400 (Swiss Francs) per accepted paper. Please do not hesitate to contact the Editorial Office (sensors@mdpi.com) if you require any further information. We hope that you will accept our invitation, and we look forward to collaborating in the future.
Last updated by Jason Liu in 2022-02-11
Special Issue on D2D Communications in 6G Heterogeneous Ultra Dense Networks
Submission Date: 2022-06-30

Special Issue "D2D Communications in 6G Heterogeneous Ultra Dense Networks" https://www.mdpi.com/journal/sensors/special_issues/2D_6g Dear Colleagues, While a wireless transmission distance will become much shorter in case of ultra dense networks, D2D communication is envisioned to continuously evolve into the 6G wireless communication networks. Such an evolution is able to efficiently support a much larger and more diverse set of devices and applications. Heterogeneous ultra dense networks (HUDNs) integrated with D2D communications is considered as one of the main elements of the future 6G networks. D2D communications in HUDNs can improve users’ quality of experience while reducing both power consumption and latency and increasing the network throughput, enhancing proximity services. HUDNs can also give access through the unlicensed spectrum and thereby increase the overall spectral efficiency. Moreover, D2D communication can enable various differnet vertical applications such as vehicular and public safety communications. Keywords device-to-device heterogeneous ultra dense networks vertical applications Dr. Fotis Foukalas Guest Editor Sensors is an open-access journal indexed by SCI, SSCI, Scopus, and PubMed. According to Web of Science, Sensors ranks 14/64 (Q1) in the "Instruments & Instrumentation" category; 26/83 (Q2) in the "Chemistry, Analytical" category; and 82/273 (Q2) in the "Engineering, Electrical & Electronic" category. A free English editing service could be provided after a paper has been accepted. The article processing charge (APC) is CHF 2400 (Swiss Francs) per accepted paper. Please do not hesitate to contact the Editorial Office (sensors@mdpi.com) if you require any further information. We hope that you will accept our invitation, and we look forward to collaborating in the future.
Last updated by Jason Liu in 2022-02-11
Special Issue on Smart Grids and Green Communications 
Submission Date: 2022-07-10

Special Issue "Smart Grids and Green Communications" https://www.mdpi.com/journal/sensors/special_issues/SG_GC Dear Colleagues, The term smart grid refers to intelligent electricity distribution networks. Smart grids combine electricity distribution grids with the intensive use of information technologies, enabling data provision and analysis to both electricity distribution companies and consumers themselves. By providing traditional electricity grids with intelligence capabilities, it is possible to accurately determine consumption habits and improve grid efficiency as well as contribute to energy savings. On the other side, a significant proportion of energy worldwide is consumed by information and communication technologies and infrastructures, with the wireless sector being one of the main contributors to this consumption. Therefore, it is critical to emphasize green communications, that is, communications characterized by energy efficiency, reduced CO2 emissions, and low-cost deployments, enabling the reduction of energy consumption as well as the associated carbon footprint. Keywords artificial intelligence big data carbon footprint energy consumption energy efficiency energy forecasting green communications information and communication technologies Internet of Things smart grid Prof. Dr. Javier M. Aguiar Guest Editor Sensors is an open-access journal indexed by SCI, SSCI, Scopus, and PubMed. According to Web of Science, Sensors ranks 14/64 (Q1) in the "Instruments & Instrumentation" category; 26/83 (Q2) in the "Chemistry, Analytical" category; and 82/273 (Q2) in the "Engineering, Electrical & Electronic" category. A free English editing service could be provided after a paper has been accepted. The article processing charge (APC) is CHF 2400 (Swiss Francs) per accepted paper. Please do not hesitate to contact the Editorial Office (sensors@mdpi.com) if you require any further information. We hope that you will accept our invitation, and we look forward to collaborating in the future.
Last updated by Jason Liu in 2022-02-11
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