About this Research Topic
With the development of Internet-of-Things (IoT) systems, various terminals (e.g., smartphones, wearable devices, and unmanned aerial vehicles) are being increasingly used in many scenarios. Typically, terminals have limited battery and resources (e.g., CPU computing power and storage space), and are less effective in intensive computation. To address limitations, researchers have proposed various computation offloading approaches that move computation from terminals either to a remote cloud or nearby edges. With their support, terminals can execute faster and more stably.
This Research Topic is devoted to the recent improvements over the state-of-the-art research on computation offloading technologies, especially under the scenario of IoTs. The continuous development of theories and practice unleashes the potential of terminals and compensates for the lack of computing capacity and limited battery power for IoT systems.
Topics of interest include but are not limited to:
• Optimization algorithms for offloading computing
• Delay or energy minimization for offloading computing
• Novel techniques and future perspectives
• 5G-enabled services for computation offloading
• Security and privacy issues for computation offloading
• Model and architecture design for computation offloading
• Computation and communication integration for computation offloading
• High-performance low-cost communication computation offloading
• Offloading for AI and advanced computation models
Keywords: offloading computing, Internet-of-Things (IoT), cloud computing, mobile edge computing (MEC), energy-efficient computation.
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