Vijayalakshmi Saravanan (Lead Guest Editor), Ryerson University, Canada, [email protected], [email protected] Krishnamoorthy, Wenzhou – Kean University, China, [email protected] Zhang, Macquarie University, Australia, [email protected]
The Agile Wireless Internet of Things (AWIoT) is one component of a range of IoT applications including smart homes, industry 4.0, smart environments, smart grids, e-health and ecommerce transactions.
One of the key challenges for AWIoT is coordinating spatially distributed static or mobile devices that are subject to operating system constraints, disturbances in transmission media, defects in infrastructure, network failures, changing traffic patterns and the need to maintain quality of service.
AI can be used to optimizes AWIoT. Deep learning, ML, neural networks and evolutionary algorithms can facilitate data prediction and performance improvement and help manage the huge volume of data flowing from sensors, network devices, social media and many other sources.
This issue looks at how AI can be used in AWIoT. We seek research papers that look at these and other topics:
- Spatial and temporal solutions based for AWIoT
- Data management for AWIoT
- MAC and routing architectures
- Dealing with spatial and temporal challenges for edge computing
- Managing infrastructure failures
- Deep neural networks in AWIoT
- Optimization and learning for traffic patterns
- Security and privacy challenges in deep reinforcement learning
- Using AI to manage decentralized data
- Adaptive and automated resource management strategies
- Network interface control
- AI in fog computing
- Smart Grids Identification security attacks using Dynamic Software computing
- Risk assessment for embedded motion sensor devices
Paper Submissions 28th February 2021Author Notification 8th May 2021Revised Paper Submissions 28th July 2021Final Acceptance 25th September 2021
Submissions should be original papers and should not be under consideration for publication elsewhere. Extended versions of high quality conference papers that are already published at relevant venues may also be considered as long as the additional contribution is substantial (at least 30% of new content).
Authors must follow the formatting and submission instructions of the Personal and Ubiquitous Computing journal at https://www.springer.com/journal/779.
You can also visit the Springer Nature Information for journal article authors pages at https://www.springer.com/gp/authors-editors/journal-author
During the first step in the submission system Editorial Manager, please select “Original article” as article type. In further steps, please confirm that your submission belongs to a special issue and choose from the drop-down menu the appropriate special issue title.
All papers will be peer-reviewed.