Special Issue "IoT-Enabled Sensor Networks: Vision and Challenges"
Deadline for manuscript submissions: closed (15 October 2019).
Interests: cloud; IoT; smart cities; embedded systems; cyberphysical systems
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Interests: parallel and distributed computing; embedded and ubiquitous/pervasive computing
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Wireless Sensor Networks (WSNs) indicate a group of spatially dispersed and dedicated wireless nodes hosting sensors for monitoring and recording the physical conditions of the environment, and typically collecting data at a central storage location.
As a more recent development, the Internet of Things (IoT) integrates networked sensors such as WSNs and, more in general, physical objects (i.e., things) in a ubiquitous cyberspace by interconnecting these systems to the Internet at large, making them also available over the web. This is becoming an attractive systems paradigm: indeed, the IoT-enabled approach can remarkably broaden the scope and reach of the data produced and collected by WSNs, as well as the opportunity for machine-to-machine interactions and data consumption at a global scale.
In the following, we use the term IoT-enabled WSN to describe a WSN that also includes an IoT-ready functionality, thus further extending WSNs by including the Internet at large, as well as the web, with its users and their interactions, in the loop. Based on the significant development of a wide variety of powerful sensing/actuating boards, together with advanced networking and communications technologies, researchers and practitioners can obtain an integrated set of controls, data, information and, ultimately, knowledge, borne at the interface between the physical and the virtual world.
However, the large-scale deployment of IoT-enabled WSNs will face a series of challenges and issues (e.g., energy efficiency requirements, architecture, protocol stack design, implementation, security, etc.), which requires smarter transducing and computing methods, as well as advanced networking and communications technologies, to provide more pervasive WSN-powered services for people over the Internet.
This Special Issue aims to attract novel contributions articulating pioneering perspectives, addressing current challenges and open issues within the IoT world at large, and specifically within IoT-enabled WSNs. Authors from both academia and industry are welcome to contribute and demonstrate the latest research results on the design, implementation, deployment, operation and evaluation of smart sensing and computing models, networking methodologies, communications tools and platforms for IoT-enabled WSNs.
Topics of interest include, but are not limited to, the following:
- Multi-functional IoT-enabled WSN nodes
- Smart IoT-ready WSNs and platforms
- Modelling of IoT-enabled WSNs
- Energy-efficient IoT-enabled WSNs architectures
- Green computing and sustainable computing for IoT-enabled WSNs
- Cloud computing, fog computing and edge computing for IoT and WSNs
- Routing protocols, data dissemination and offloading algorithms
- Community detection and network evolution analysis for IoT-enabled WSNs
- Localization and node mobility models
- Methods for data collection, convergence and storage
- Schemes of data mining, processing and analysis
- Data visualization techniques
- Quality of Experience and Quality of Service in IoT-enabled WSNs
- Low-power, distributed data processing in sensor applications
- Smart cities and smart healthcare
- Security, privacy and trust for IoT and WSNs
- Energy harvesting communications and networks
- Machine learning/deep learning/artificial intelligence approaches
- Applications and testbeds of IoT-enabled WSNs
Additionally, the 2019 IEEE International Conference on Internet of Things (iThings-2019, http://cse.stfx.ca/~cybermatics/2019/ithings/) will be held in Atlanta, USA, 14–17 July 2019. Selected papers from iThings-2019 with enough additional content will also be included in the Special Issue.
Prof. Dr. Antonio Puliafito
Prof. Dr. Laurence T. Yang
Dr. Giovanni Merlino
Manuscript Submission Information
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