Special Issue "Exploiting the IoT within Cyber Physical Social System"
Deadline for manuscript submissions: closed (31 March 2019)
Dr. Xiaokang Wang
Department of Computer Science, St. Francis Xavier University, Antigonish B2G 2W5, Canada
Interests: Cyber-Physical-Social Systems, Big Data, Tensor Computing, Parallel and Distributed Computing
Cyber-Physical Systems (CPS) indicate the integration of the physical world with the cyber one, which is also referred as the Internet of Things (IoT). As a further extension, the cyber-physical-social system (CPSS) integrates cyber interactions, physical perceptions and social connections into a ubiquitous hyperspace, and is becoming an attractive network paradigm. CPSS can remarkably enrich and broaden the interactions and connections among human-to-human, human-to-object, and object-to-object in the cyber-physical-social world.
In the following we will indicate as CPSS, a CPS system that also includes social aspects, thus further extending the IoT by including people and their interactions in the loop. Based on the significant development of a wide variety of rich-soured IoT sensing devices, cyber-physical-social sensing and computing technologies, together with some advanced networking and communications technologies, we can obtain an integrated set of data, information and knowledge from the physical world, human society, as well as the virtual world.
However, large scale deployment of cyber-physical-social systems will face a series of challenges and issues (e.g., energy efficiency requirements, architecture, protocol stack design, implementation, security, etc.), which requires more smart sensing and computing methods, advanced networking and communications technologies to provide more pervasive cyber-physical-social services for people.
This Special Issue aims to attract novel contributions to address and deal with current challenges and open issues within the general IoT world, and specifically within CPSS. The authors from both academia and industry are welcome to contribute and demonstrate the latest research results with the design, implementation, deployment, operation and evaluation of smart sensing and computing models, networking methodologies and communications tools and platforms for CPSS.
Topics of interest include, but are not limited to, the following:
- Multi-functional IoT sensing devices
- Networked smart cyber-physical-social sensing system and platform
- Modeling of CPSS
- Energy efficient cyber-physical-social sensing architectures
- Green computing and sustainable computing for IoT, CPS and CPSS
- Cloud computing, fog computing and edge computing for IoT
- Routing protocols, data dissemination and offloading algorithms
- Community detection and network evolution analysis for CPSS
- Localization and node mobility models
- Construction technology of dynamics of social groups
- Methods for data collection, convergence and storage
- Schemes of data mining, processing and analysis
- Techniques of Data visualization
- Quality of Experience and Quality of Service in CPSS
- Social network analysis and social influence analysis
- Low-power, distributed data processing in sensor applications
- Smart worlds, smart cities and smart healthcare
- Security, privacy and trust for the IoT
- Energy harvesting communications and networks
- Machine learning/deep learning/artificial intelligent approaches
- Applications and testbeds of CPSS
Prof. Dr. Antonio Puliafito
Dr. Francesco Longo
Dr. Xianjun Deng
Dr. Xiaokang Wang
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