Green ICT, Artificial Intelligence and Smart Cities

Dear Colleagues,

As the global urban population is growing significantly, governments around the world rely heavily on Information and Communication Technology (ICT) in developing smart and hyper-connected infrastructure that allow cities to provide better services to citizens and reduce energy consumption. These smart technologies enable cities to implement new ways to monitor the environment, buildings, street lighting, traffic, crowds, crimes, etc.

ICT is the underlying technology in forming a smarter and more intelligent city around the world; however, if not implemented wisely, ICT can be a major environmental issue. Currently, the global ICT industry accounts for approximately 2% of global greenhouse gas (GHG) emissions. According to a recent study, this footprint is predicted to increase significantly to around 14% by 2040. Intelligent use of ICT innovations can help with the reduction of GHG while still achieving its objectives. Based on the Global e-Sustainability Initiative (GeSI) study, ICT potentially has the capability to cut the carbon footprint of other areas by a factor of 10. Therefore, ICT innovations such as Green ICT, Internet of Things (IoT), and Artificial Intelligence (AI) will play a major role not only in making a city smarter but also greener and more sustainable.

This Special Issue on Green ICT, Artificial Intelligence, and Smart Cities aims to bring together researchers and practitioners interested in the advances and applications of ICT in the fields of Smart Cities, Green Information and Communication Technologies, Artificial Intelligence, Sustainability, and Energy-Aware Systems.

The broad areas include but not limited to:

• Smart Cities Frameworks
• Green Information and Communication Technologies
• Artificial Intelligence
• Wireless Sensor Networks
• Energy-Saving in Data Centers
• Energy-Aware Protocols
• Cyber-Physical Systems
• Low-Power Networks
• Connected Autonomous Vehicles
• Smart Grid
• Energy Harvesting in Cellular Networks (including RF)
• Smart Homes
• Energy-Efficient Network Topologies & Architectures
• Edge Computing
• Crowd Sensing

Dr. Bernardi Pranggono
Dr. Alex Shenfield
Dr. Augustine Ikpehai
Guest Editors

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