Distributed Algorithms for Wireless Networks and Mobile Edge Computing

Dear Colleagues,

With the rapid development of the Internet of Things (IoT) and mobile communication technologies, vast amounts of data can be obtained from various intelligent devices such as smartphones, smart cameras, wearable devices, environmental sensors, household appliances and vehicles. The expansion of IoT and mobile devices is revolutionizing the paradigm of computing and smart services. To harness the massive, distributed computing potential of IoT and mobile devices, researchers have been working to implement innovative applications of edge computing architectures and artificial intelligence algorithms on these devices.

Edge computing is emerging as a promising computing paradigm by deploying computing and storage resources at the edge of the network to provide end users with a cloud computing service environment and capabilities. It can significantly reduce latency in accessing network content and computing services, which is important for improving network performance and enhancing the quality of experience for IoT devices.

This Special Issue seeks contributions reporting on recent advancements concerning wireless network, advanced models, algorithms, and technologies for emerging edge computing. This includes novel technologies to deploy wireless access networks to edge computing applications and discussion about the deployment of novel applications and frameworks. Topics include, but are not limited to:

• Trends and challenges for wireless networks and edge computing;
• Wireless networks for cloud and edge computing;
• Data allocation optimization in cloud and edge computing;
• Channel-aware computation offloading for wireless edge computing;
• Compact and high-performing sensing network design for edge computing;
• Inference efficiency improvement for edge computing;
• Edge computing for content-centric wireless networking;
• Edge computing for mobility management in wireless networks;
• Security and privacy-preserving techniques for cloud and edge computing;
• Performance evaluation of edge computing platforms;
• Novel mobile intelligence algorithms and models;
• Frameworks and models for edge computing applications;
• Machine learning, deep learning and federated learning for edge computing.

Dr. Ting Li
Guest Editor

Manuscript Submission Information

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• edge computing
• mobile computing
• Internet-of-Things (IoT)
• edge computing for the internet of things
• distributed machine learning
• sensing network
• Wireless networking
• data security and privacy
• machine learning
• computational intelligence