Edge Computing for Beyond 5G and Wireless Sensor Networks
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Intelligent Sensors".
Deadline for manuscript submissions: 20 August 2026 | Viewed by 447
Special Issue Editor
Interests: cloud computing; edge computing; software defined networking; network virtualization; SDN
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The emergence of beyond 5G (B5G) technologies and the proliferation of wireless sensor networks have created unprecedented opportunities and challenges in data processing, network management, and service delivery. Edge computing has emerged as a pivotal paradigm in addressing these challenges by bringing computation, storage, and intelligence closer to where data is generated. This Special Issue aims to explore cutting-edge research on edge computing frameworks, architectures, and algorithms that enable efficient sensing, processing, and communication in B5G and wireless sensor networks. We welcome contributions that investigate AI-empowered edge solutions, novel resource orchestration techniques, security mechanisms, and integrated approaches combining communication, sensing, computation, and caching. Of particular interest are works that enhance reliability, resilience, and privacy while optimizing performance in resource-constrained environments. This collection will serve as a comprehensive reference for researchers and practitioners seeking innovative edge computing solutions for next-generation wireless networks.
- Edge computing architectures and frameworks for B5G and wireless sensor networks;
- Novel data sensing, processing, and caching techniques at the network edge;
- AI and machine learning approaches for intelligent edge computing;
- Resource scheduling, allocation, and orchestration between edge nodes;
- Reliability and fault-tolerance mechanisms for edge-based wireless sensor networks;
- Integrated solutions combining communication, sensing, computation, and caching;
- Security protocols and privacy-preserving techniques for edge intelligence;
- Blockchain integration with edge computing for secure B5G applications;
- Energy-efficient edge computing solutions for resource-constrained environments;
- Performance optimization and quality of service in edge-based networks.
Dr. He Li
Guest Editor
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Keywords
- edge intelligence
- beyond 5G networks
- edge–cloud architecture
- secure edge computing
- blockchain in edge
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