Collaborative Intelligent Sensing for Social IoT
A Special Issue of Sensors (ISSN 1424-8220) belonging to the section "Internet of Things".
Deadline for manuscript submissions: 20 December 2026 | Viewed by 839
Editors
Interests: social computing; wireless networks; big data
Special Issues, Collections and Topics in MDPI journals
Interests: AI & industrial IoT; multimedia security; computer vision content analysis
Interests: internet of vehicles; edge computing; social intelligence; network security
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The convergence of the Internet of Things (IoT) and Artificial Intelligence, known as AIoT, is heralding an era where connected devices transcend mere data collection to achieve collaborative sensing, reasoning, and interaction within complex physical and social environments. This Special Issue explores this frontier, focusing on intelligent systems in which AI-powered, distributed sensors form organic, goal-oriented networks. These systems move beyond simple data aggregation to enable true collaborative sensing, facilitating complementary information sharing and real-time autonomous decision-making.
This topic is intrinsically aligned with the core scope of intelligent sensing, encompassing advanced social IoT technologies, networking protocols, and data fusion algorithms. We invite submissions on novel architectures that integrate social and physical sensing, frameworks inspired by crowd-sensing paradigms, and the role of edge AI in creating adaptive, multi-modal perception systems. Contributions may also cover applications in domains such as smart cities and digital twin platforms for heterogeneous networks, as well as solutions addressing critical challenges of interoperability, security, and privacy within this collaborative paradigm. Suggested topics in collaborative intelligent sensing for social IoT include, but are not limited to, the following:
- Framework designs;
- Sensing technologies;
- Knowledge inference technologies;
- Key technologies and core applications;
- Trusted, secure, and privacy computing system designs;
- Big data analytics;
- Prototypes and case studies;
- Performance benchmarks;
- Algorithm designs;
- Prospects for next-generation IoT collaborative sensing.
Prof. Dr. Dapeng Wu
Dr. Xinqi Lin
Dr. Boran Yang
Guest Editors
Manuscript Submission Information
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Keywords
- social intelligence
- Internet of Things (IoT)
- collaborative sensing
- edge AI
- distributed sensor networks
- multi-modal perception
- smart cities
- security and privacy
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