Big Data Driven IoT for Smart Cities

Dear Colleagues,

Recent years have witnessed billions of sensors, devices, and vehicles being connected to our cyberspace. Every day, all these smart things are generating massive data calculated in ZettaBytes. As our cities become smarter, we are also facing brand new opportunities and challenges. Multimedia data sensing and processing, together with resource allocation, quality of service (QoS) optimization, security and privacy, platforms, tools, etc., have been a major objective, and critical for big-data-driven IoT. Emerging technologies and paradigms including fog/edge computing, deep learning, network function virtualization, mobile crowdsensing, and 5G are in urgent need of playing roles on this new stage.

This Special Issue aims to report the state-of-the-art technologies in big-data-driven IoT for smart cities. Topics of interest include, but are not limited to, the following:

• Multimedia big-data-driven IoT for smart cities
• Resource allocation and data management for smart cities
• QoS/QoE-aware optimization in big data driven IoT for smart cities
• Cloud computing and big-data-driven IoT for smart cities
• Software-defined networking and big-data-driven IoT for smart cities
• Fog/edge computing and big-data-driven IoT for smart cities
• Network functions virtualization in big-data-driven IoT for smart cities
• Machine learning and big-data-driven IoT for smart cities
• Mobile crowdsensing and big-data-driven IoT for smart cities
• Security and privacy in big-data-driven IoT for smart cities
• Green communications and networking in big-data-driven IoT for smart cities
• 5G applications and big-data-driven IoT for smart cities
• Novel algorithms, models, frameworks, platforms in big-data-driven IoT for smart cities

Dr. Kaoru Ota
Dr. Jun Wu
Guest Editors

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