IoT as a Service: 7th EAI International Conference, IoTaaS 2021, Sydney, Australia, December 13-14, 2021, Proceedings

This book presents the refereed post-conference proceedings of the 7th International Conference on IoT as a Service, IoTaaS 2021, which was held virtually in December 2021 due to the COVID-19 pandemic. It includes 17 revised full papers on various topics related to IoTaaS, such as intelligent IoT communication solutions, social Internet of Things, and machine learning prediction and recommendation.

Format: Paperback / softback
Length: 245 pages
Publication date: 08 July 2022
Publisher: Springer Nature Switzerland AG

The 7th International Conference on IoT as a Service, IoTaaS 2021, was held virtually in Sydney, Australia, in December 2021, due to the COVID-19 pandemic. The conference brought together experts from around the world to discuss the latest trends and advancements in IoT as a Service.

The proceedings of the conference, consisting of 17 revised full papers, were meticulously reviewed and selected from a total of 129 submissions. The papers were categorized into three tracks: Intelligent IoT communication solutions, Social Internet of Things: security, management, and Machine learning prediction and recommendation in IoT.

The first track, Intelligent IoT communication solutions, explored innovative technologies and solutions for enabling seamless communication between IoT devices and networks. The papers discussed various aspects of IoT communication, including wireless communication protocols, network architecture, and security considerations.

The second track, Social Internet of Things: security, management, focused on the challenges and opportunities associated with the development and deployment of IoT devices in social contexts. The papers addressed topics such as IoT device security, privacy, and data management, as well as strategies for managing large-scale IoT deployments.

The third track, Machine learning prediction and recommendation in IoT, explored the use of machine learning algorithms and techniques to enhance the functionality and efficiency of IoT devices. The papers discussed various applications of machine learning in IoT, including smart home automation, healthcare monitoring, and industrial process optimization.

Overall, the 7th International Conference on IoT as a Service, IoTaaS 2021, provided a platform for researchers, practitioners, and industry experts to exchange ideas, share experiences, and explore the future of IoT as a Service. The conference proceedings will serve as valuable resources for future research and development in the field.
The 7th International Conference on IoT as a Service, IoTaaS 2021, held virtually in Sydney, Australia, in December 2021, was a significant event in the field of IoT. Due to the COVID-19 pandemic, the conference was conducted entirely online, bringing together experts from around the world to discuss the latest trends and advancements in IoT as a Service.

The conference proceedings, consisting of 17 revised full papers, were meticulously reviewed and selected from a total of 129 submissions. The papers were categorized into three tracks: Intelligent IoT communication solutions, Social Internet of Things: security, management, and Machine learning prediction and recommendation in IoT.

The first track, Intelligent IoT communication solutions, explored innovative technologies and solutions for enabling seamless communication between IoT devices and networks. The papers discussed various aspects of IoT communication, including wireless communication protocols, network architecture, and security considerations.

The second track, Social Internet of Things: security, management, focused on the challenges and opportunities associated with the development and deployment of IoT devices in social contexts. The papers addressed topics such as IoT device security, privacy, and data management, as well as strategies for managing large-scale IoT deployments.

The third track, Machine learning prediction and recommendation in IoT, explored the use of machine learning algorithms and techniques to enhance the functionality and efficiency of IoT devices. The papers discussed various applications of machine learning in IoT, including smart home automation, healthcare monitoring, and industrial process optimization.

Overall, the 7th International Conference on IoT as a Service, IoTaaS 2021, provided a platform for researchers, practitioners, and industry experts to exchange ideas, share experiences, and explore the future of IoT as a Service. The conference proceedings will serve as valuable resources for future research and development in the field.

The COVID-19 pandemic had a significant impact on the conference, as it forced the organizers to adapt to a virtual format. Despite the challenges, the conference was a success, with participants from various countries and industries attending the event. The virtual nature of the conference allowed for greater participation and engagement, as participants could attend from the comfort of their own homes or offices.

One of the highlights of the conference was the quality of the presentations and the depth of the discussions. The papers presented were of high quality, and the presenters provided insightful perspectives and innovative ideas. The discussions were lively and engaging, with participants sharing their experiences and expertise in the field.

The conference also provided an opportunity for researchers and practitioners to network and collaborate. The conference platform allowed for virtual meetings, discussions, and workshops, which facilitated the exchange of ideas and the formation of new partnerships.

In conclusion, the 7th International Conference on IoT as a Service, IoTaaS 2021, was a remarkable event that showcased the latest trends and advancements in IoT as a Service. The conference proceedings will serve as valuable resources for future research and development in the field, and the virtual format of the conference allowed for greater participation and engagement. The COVID-19 pandemic had a significant impact on the conference, but it also demonstrated the resilience and adaptability of the IoT community.

Weight: 397g
Dimension: 235 x 155 (mm)
ISBN-13: 9783030959869
Edition number: 1st ed. 2022