Collaborative and Cooperative Sensors

Dear Colleagues,

Presently, sensing and sensors are core parts of enlarging the human understanding of natural phenomena. The horizon of human understanding expands through deploying massive amounts of sensors and sensor networks. Of course, the success of artificial and deep learning techniques heavily depends on the data gathered from the sensors and, at the same time, the deep learning provides us with an easy way to analyze and understand the sensor data. Sensors or sensor systems are normally deployed in remote areas, with small-size batteries and for multiple cooperative missions. A main question in massively deploying such multiple-objective sensors is how to extend their lifetime, how to enhance their sensing accuracy, how to safely and reliably collect the data, and how to make them more economical. Collaborative and cooperative sensors may be critical to finding the answers to these questions. This Special Issue shall collect research devoted to the development of new methods in the field of cooperation and collaboration in sensors, sensor systems and sensor networks, which especially enable the economic deployment of massive sensors. The list of topics includes, but is not limited to

• Modelling, Simulation and Evaluation of Collaborative Sensors and Sensor Networks
• Cooperative and Collaborative Energy Harvesting in Sensor Systems
• Cooperative and Collaborative Applications in Sensors, Actuators, Metering and Sensing
• Cooperative LPWAN Systems and Applications
• Cooperative Signal and Image Processing in Sensor Systems and Sensor Networks
• Industrial Internet of Collaborative Things and Smart Manufacturing
• Cooperation and Collaboration in Wearable or Mobile Devices
• Cooperation and Collaboration between Sensors in Improving Healthcare
• Throughput and Service Enhancement through Cooperation and Collaboration in Sensor Systems and Sensor Networks
• Design and Deployment of Cooperative Multi-objective Sensors
• Cooperation and Collaboration Schemes between 5G Mobile Terminals
• Cooperative and Collaborative Chemical and Gas Sensors, Microfluidics, Biosensors, Optical Sensors, Temperature, Mechanical, Magnetic Sensors, and Acoustic and Ultrasonic Sensors
• Combined Design of Data Analysis Techniques and Cooperative Sensors and Sensor Networks
• Machine Learning Techniques for Collaborative and Cooperative Sensors

Prof. Dr. Dongwoo Kim
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.