Information Technology is a key enabler in the industrial evolution and revolution of societies around the world. We are now in the midst of the fourth industrial revolution – Industry 4.0 – and one of the biggest drivers has been the Industrial Internet of Things (IIoT) and Wireless Sensor Networks (WSN). The IIoT and WSN is the result of widespread use of computers and the interconnectedness of machines. It has made software a crucial tool for almost every industry, from bakeries and arts to manufacturing facilities and banking systems. Computers can be mobile or geographically separated over large a distance, which exposes them to network disturbances, Quality of Service (QoS) degradation, and security vulnerabilities. The IIoT is a complex network at a large scale and there is a dire need for network architecture and protocol design that will accommodate these diverse domains and competencies and handle the increasing levels of complexity.
Sustainable computing, providing the environment for reduction of energy requirement, is a key factor for energy constrained IIoT devices. However, the WSN paradigms were not originally developed for this kind of IoT environment. Both technologies are computationally expensive and can introduce high bandwidth overhead and delays. These demanding performance and power requirements are not suitable for most IIoT devices. This problem has been solved by emerging computing paradigms like wireless sensor networks have been introduced to offload computation-intensive tasks from lowpower IIoT devices, many deep learning models still require to be executed in IIoT devices due to security and privacy concerns (i.e., keep data locally). Therefore, there are exemplary challenges and issues which are yet to be addressed by researchers in order to achieve sustainable computing solutions by the mean of different architectures, protocols, methods and technologies in IIoT and wireless networks i.e. edge computing, federated learning, deep learning, privacy/security, spectrum sensing, blockchain technology and many more which are crucial in success of modern IIoT and wireless network systems.
Aims and Scope
The main objective of this special issue is to rediscover, redefine, and reestablish the most recent and novel architectures and advanced methods of IIoT and wireless sensor networks enabled Sustainable computing to optimize industrial operations. We will welcome the submissions under this special issue in form of methodological, empirical and review papers that aim to provide worldwide researchers and practitioners an ideal platform to innovate new solutions targeting at the corresponding key challenges.
Topics of Interest
- Networking protocol performance in IIoT
- Communication protocol interoperability aspects in IIoT
- Secured and privacy-preserved communication protocols in IIoT
- Secured and privacy-preserved communication in IIoT
- Network architecture and novel communication protocol designs for IIoT
- Automated IoT onboarding mechanisms in the industry
- Determinism in IIoT wireless environments
- Semi-automated brownfield device integration in IIoT
- Delay-Tolerant Networking in IIoT
- Information-centric networking in IIoT
- Serverless cloud-edge computing mechanisms in IIoT
- AI operationalisation in IIoT
- The role of machine learning-enabled and deep learning-enabled communication in IIoT
- Decentralised security mechanisms for IIoT
- Edge Computing based traffic offloading prediction and optimization
- Spectrum Sensing and Spectrum Management Issues
- AI and blockchain powered sustainable architectures for IoT applications
- Theoretical aspects of AI and blockchain converged sustainable IoT
- Blockchain and IoT applications using Edge Computing
- Artificial intelligence approaches for unmanned aerial vehicles (UAVs)
- Edge/IoT based wireless communication systems
- Deep learning for edge computing networks
- Training scheme of Federated Learning models for IIoT applications
- Segmentation of Edge Computing models for collaborative intelligence
- AI models for sustainable computing in emerging IoT applications
- Privacy and accountability of AI-enabled sustainable IoT systems
- Emerging computing architectures for sustainable IoT
- Power-efficient computing architecture for IoT applications
- Energy-efficient communication protocols for IoT systems
- Security and privacy of sustainable computing for IoT applications
- Case studies of sustainable Computing for emerging IoT applications
- IoT sustainable computing security and privacy
|Submission and publication details||Timelines|
|Notification of Acceptance:||April 15, 2022|
|Final Version Due:||May 15, 2022|
|Special Issue Publishing Date:||May 30, 2022|
|DOI, Indexing and Others||After 1 month of publication, will be automatically updated|
Article Processing Charges
All papers submitted to Special Issues are subject to an Article Processing Charge (APC) if the manuscript is accepted for publication after peer review.
For more details on article processing charges, please follow the "Article Processing Charges" section of the journal for the Special Issue.
Chief Guest Editor
Dr. Sandeep Kautish
Professor & Dean-Academic
LBEF Campus, Kathmandu, Nepal
Google Scholar Profile
Specialization: Computational Intelligence in Health care, Business Intelligence,
Machine Learning, Internet of Things (IoT), Blockchain
Proposals are accepted on a continuous basis till deadline for submission.
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