Personal and Ubiquitous Computing
Ryerson University, Canada
Wenzhou - Kean University, China
Macquarie University, Australia
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
Smart Grids Identification security attacks using Dynamic Software computing
Risk assessment for embedded motion sensor devices
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% new content).
Authors should follow the formatting and submission instructions for Personal and Ubiquitous Computing at
For more information visit the
Springer Nature Information for journal Article Authors
During the first submission step in Editorial Manager select
as the article type. In further steps you should confirm that your submission belongs to this special issue by choosing the special issue title from the drop-down menu.
All papers will be peer-reviewed.
30 February 2021
8 May 2021
Revised Papers Submissions
28 July 2021
25 September 2021