New Technology Trends in Smart Sensing

Dear Colleagues,

Sensing systems have become increasingly crucial in our daily lives, contributing significantly to the functionality of smart environments. These systems are applied to execute intricate tasks such as indoor localization and navigation, anonymous environment monitoring, human-machine interactive sensing, and fine-grained activity and gesture recognition. By leveraging these technologies, intelligent and advanced services are provided to enhance the quality of life.

Currently, smart sensing systems increasingly utilize advanced techniques such as multi-sensor, multi-source, and multi-process information fusion to enhance accuracy. Information fusion stands out as a promising technology in smart sensing, driving progress in related fields like the Internet of Things, intelligent unmanned systems, and mobile computing. Researchers have historically focused on improving information acquisition and fusion through signal processing, estimation theory, and decision theory. However, attention has shifted toward leveraging artificial intelligence (AI) technologies such as fuzzy logic and neural networks for more effective information fusion, leading to the development of smart and collaborative sensing systems. This advancement expands the applications of intelligent information fusion technologies in smart sensing and environments, including human-machine interactive sensing, intrusion detection, and autonomous environment monitoring, ultimately enhancing the quality of human life.

This Special Issue invites original research articles from researchers in academia and industry to discuss their contributions to new technologies and applications for smart sensing. We are seeking studies that report innovative ideas and solutions of new smart sensing methods, with a particular emphasis on exploring new and compelling mobile scenarios and applications. By showcasing recent advances in smart sensing, this special issue will enable readers to stay informed about the latest developments in the field. Additionally, review articles that discuss the current state of the art are also welcome.

Potential topics include but are not limited to the following:

• Advanced principles for intelligent sensing in multi-sensor environments
• Computer vision strategies tailored for resource-constrained and mobile platforms
• Data fusion techniques leveraging artificial intelligence
• Development of protocols and standards specific to smart sensing environments
• Utilizing artificial intelligence in multi-sensor information fusion
• Resource-efficient machine learning and AI algorithms for mobile devices
• Security and privacy considerations in sensing networks
• New applications or systems inspired by smart sensing and information fusion
• Machine learning and deep learning techniques applied to sensor data
• Modeling approaches for big data generated by multi-sensor systems
• Mobile computing support for pervasive computing
• Integration of fuzzy logic and neural network interfaces in distributed sensor systems
• Addressing fairness, equity, and transparency issues in IoT and CPS
• Systems enabling location and context sensing with awareness capabilities
• Novel information fusion methods for smart sensing
• Design and testing of multi-functional sensors
• Strategies for data acquisition and storage in collaborative sensor networks

Dr. Xinlei Chen
Dr. Rui Na
Dr. Lei Zhang
Guest Editors

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. Applied Sciences 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 2400 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.

• sensing networks
• intelligent sensing
• multi-sensor systems
• distributed sensor systems