Special Issue "Visual Sensor Networks: Architectures and Applications"
Deadline for manuscript submissions: 31 March 2021.
Interests: Cyber-Physical Communications; Dependability/Performability Modeling and Evaluation; Real-Time Systems; Safety-Critical Systems; Embedded Systems
Interests: emerging networks and applications; smart cities; internet of things; wireless networks; multimedia communications
Special Issues and Collections in MDPI journals
Special Issue in Smart Cities: Camera Sensors in Smart Cities
The development of more efficient and cheaper technologies for visual sensing has supported the maturation of the wireless sensor networks field, with the opening of new possibilities for distributed camera-based monitoring applications. Such maturation is taking place amid the evolving internet of things landscape, bringing visual sensing to heterogeneous applications in scenarios such as smart cities, industry 4.0, intelligent healthcare, and vehicular networks. This wealth context keeps pushing for new innovations and performance enhancements for visual sensor networks (VSN), fostering new developments in this area.
When considering the research initiatives related to distributed visual sensing and wireless networking, many challenges are yet to be properly addressed. Concerning architecture and communication protocols, issues such as routing, real-time data delivery, reliability, availability, security, and network engineering are some of the topics that have driven relevant research efforts and that still present open challenges. On the other hand, applications of visual sensor networks in different scopes have also faced relevant challenges that demand proper attention.
In this Special Issue, innovative research papers addressing relevant research challenges in the development and applicability of visual sensor networks are particularly sought. New algorithms and protocols, communication architectures, sensing frameworks, coding strategies, and different types of innovative visual sensing applications can bring relevant contributions to the area and thus deserve as much attention as possible. These and other contributions related to visual sensor networks are then the targets of this Special Issue.
Prof. Dr. Paulo Portugal
Prof. Dr. Daniel G. Costa
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 papers will be 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 2000 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.
- Protocols and architectures for VSN
- New paradigms for communications in VSN
- 5G and LoraWAN in visual sensor networks
- Reliability, availability and fault tolerance
- Security and privacy in VSN
- Electronics and development of visual sensors
- QoS, QoE and visual data quality
- Soft computing in visual sensor networks
- Big data and machine learning for VSN applications
- Emerging applications of VSN