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Internet of Things Track

SCOPE

Internet of Things (IoT) expects to connect massive physical devices and allow them to interact with each other so as to collect and analyze data for decision making. By incorporating massive machine-type communication (MTC) devices, such as sensors, controllers, and actuators, IoT is envisaged as the enabling platform for many emerging applications including smart city, smart homes, and intelligent transportation systems. With the prosperous development of IoT, data traffic will skyrocket dramatically. At the same time, the data collected by IoT networks needs to be processed promptly to facilitate real-time decision making. To better support emerging IoT applications, massive communication and computing infrastructures will be deployed. For instance, various small cell base stations will be deployed to accommodate massive data, while different tiers of computing facilities such as fog computing, edge computing and cloud computing help process and analyze data.

Various IoT applications have distinct quality of service (QoS) requirements in terms of latency, reliability, throughput, and security. It is very challenging to meet diverse service requirements of IoT applications by efficiently provisioning heterogeneous resources (i.e., communication, computing and caching). In addition, the system itself exhibits high dynamics, e.g., time-changing channel conditions and bursty arrival of requests. The objective of this track is to promote the harvest the benefits of IoT by addressing the aforementioned issues. It can serve as a forum for researchers from academia, government and industries, to exchange ideas, present new results, and provide future visions on these topics.

Topics of interest include but are not limited to:
• Architecture and protocol design for IoT
• Mobile edge computing and fog computing for IoT
• Dynamic spectrum access in IoT
• Cross-layer optimization for IoT
• Artificial intelligence for IoT
• Big data analysis for IoT
• Modeling and simulation of large-scale IoT
• Ubiquitous computing in IoT
• IoT implementation and testbed
• Mobility management in IoT
• Energy efficient and green IoT
• Network function virtualization for IoT
• Performance evaluation and measurement in IoT
• Security and privacy in IoT

Organizers:
Prof. Ning Zhang, Texas A&M University at Corpus Christi, USA; ([email protected])
Prof. Tao Han, University of North Carolina at Charlotte, USA; ([email protected])
Prof. Dajiang Chen, University of Electronic Science and Technology of China, China;
([email protected])

Publication
All registered papers will be published by Springer and made available through SpringerLink Digital Library.

CollaborateCom proceedings are indexed in leading indexing services, including Ei Compendex, ISI Web of Science, Scopus, CrossRef, Google Scholar, DBLP, as well as EAI’s own EU Digital Library (EUDL).

Authors of selected best accepted and presented papers will be invited to submit an extended version to

Mobile Networks and Applications (MONET) Journal (IF: 2.390)
International Journal of Intelligent Internet of Things Computing

And are also eligible for publication in:

EAI Transactions series (Open Access)
EAI/Springer Innovations in Communications and Computing book series

Community Review
Community Review is a service offered to Program Committees and submitting Authors of all EAI conferences designed to improve the speed and the quality of the review process.

Abstracts of all authors who opt in to Community Review during submission will be published and available for Bidding here.

Learn more about the Community Review process

Paper submission
Papers should be submitted through EAI ‘Confy+‘ system, and have to comply with the Springer format (see Author’s kit section).

Important dates

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