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
Prof. Ning Zhang, Texas A&M University at Corpus Christi, USA; (firstname.lastname@example.org)
Prof. Tao Han, University of North Carolina at Charlotte, USA; (email@example.com)
Prof. Dajiang Chen, University of Electronic Science and Technology of China, China;
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