Optimizing the Future: Securing and Streamlining IoT Resource Allocation in the 6G Era with Edge Computing and UAV Integration
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Internet of Things".
Deadline for manuscript submissions: 25 January 2025 | Viewed by 861
Special Issue Editor
Special Issue Information
Dear Colleagues,
In the dynamic landscape of the Internet of Things (IoT), where sensors, actuators, and devices orchestrate a symphony of data, resource allocation emerges as a critical focal point. Recent strides in IoT, coupled with the pervasive deployment of 6G connectivity in developed nations, have unleashed unprecedented opportunities for ubiquitous sensor device connectivity. The incorporation of edge computing and the integration of unmanned aerial vehicles (UAVs) further extend the boundaries of IoT capabilities, introducing novel dimensions to data processing, analysis, and delivery.
This Special Issue is dedicated to exploring the intricate interplay between IoT resource allocation, 6G connectivity, edge computing, and UAV integration. As the number of sensor devices proliferates and becomes seamlessly connected across diverse networks, the efficient distribution and management of resources becomes imperative. Researchers are invited to contribute high-quality papers presenting innovative solutions and comprehensive evaluations of application-oriented research results.
Join us in shaping the future by delving into the challenges and advancements that define the landscape of IoT resource allocation in the era of 6G, edge computing, and UAV integration. Your contributions will further enhance the collective understanding of optimal resource utilization, ensuring the security and efficiency of IoT networks in this ever-evolving technological ecosystem.
Dr. Shidrokh Goudarzi
Guest Editor
Manuscript Submission Information
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Keywords
- IoT (Internet of Things)
- resource allocation
- 6G connectivity
- edge computing
- UAV integration
- sensor networks
- security measures
- application-oriented research
- efficient resource distribution
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