Next Generation Sensing and Cloud Services
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Physical Sensors".
Deadline for manuscript submissions: closed (20 February 2023) | Viewed by 3904
Special Issue Editors
Interests: services computing; distributed computing; cybersecurity; machine learning; data analysis; social sensing
Special Issues, Collections and Topics in MDPI journals
Interests: software engineering; services computing
Interests: services computing; data mining; intelligent healthcare
Special Issue Information
Dear Colleagues,
The advancement and application of sensing technologies have become everlasting trends in the various industrial, environmental, and commercial fields. However, sensing technologies have to face many issues and challenges regarding their communications (like short communication range, security and privacy, reliability, mobility, etc.) and resources (like power considerations, storage capacity, processing capabilities, bandwidth availability, etc.). In the midst of these issues, the emergence of cloud computing is seen as a remedy. Cloud computing equips sensing technologies with highly scalable and reliable hardware and software resources, enabling sensors connecting to the servers on the cloud and working without any hassle.
This Special Issue seeks to bring together research that sheds light on the ways in which sensing technologies and cloud computing will mutually shape the future of the next generation of information technology. Topics of interest include, but are not limited to:
- Next generation sensing technologies built around cloud computing capabilities
- Cloud computing support for mainstream sensing technologies
- Service-oriented sensing theories, models and technologies
- Management tools for next generation sensing cloud platforms
- Cloud-based sensing infrastructure services
- Security, privacy and trust of cloud-based sensing technologies
- Internet of Things, Cloud of Things
- Sensor cloud services, Sensing as a Service
- Social sensor cloud services, Social Sensing as a Service
- Edge-/Fog-based sensing services
Dr. Hai Dong
Prof. Dr. Pengcheng Zhang
Prof. Dr. Le Sun
Dr. Tooba Aamir
Guest Editors
Manuscript Submission Information
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Keywords
- Sensor Cloud
- Sensor Cloud Services
- Sensing as a Service
- Social Sensor Cloud
- Social Sensor Cloud Services
- Social Sensing as a Service
- Internet of Things
- Cloud of Things
- Cloud Services
- Edge Services
- Fog Services
- Everything as a Service
