Fusion of Aerial Networks with Advanced Computing Paradigms
Abstract
Artificial Intelligence (AI), Internet of Things (IoT), block chain alongside its adjacent technologies in the aerial and edge stack is disrupting industries and influencing operational strategies across multiple sectors. By using edge technologies — mainly drones and UAVs but also at times some aerial ones to some extent with edge computing in near real time decision making we can process the data directly close the source. This cooperation lowers the latency and facilitates automation, supporting many domains (agriculture, healthcare, smart city, manufacturing) as a union. Drones – AI-driven drones are a particular strong area in the disciplines of surveillance and infrastructure screening, precision agriculture. Leveraged by IoT networks and empowered with 5G, the drones are able to take in, crunch, and send data live. This is done through Block chain for instance in the field of logistics and medical applications which guarantees secured as well transparent workflow. Harnessing all of these technologies to their fullest potential will require solutions for issues such as energy efficiency, regulatory compliance, and data privacy. Even more, ethical considerations like equal access and privacy also need to be concerned. This chapter briefly discusses successful deployments and case studies with focus on operational excellence, cost savings, and environmental conservation inn a manner of aggregating those integrations for the future. The chapter ends with a final discussion about directions for future work and points to quantum computing, AR integration and drones that use renewable energy to address challenging global problems.
Fields of Study & Subjects
UAV Applications and Optimization
IoT and Edge/Fog Computing
Advanced Data and IoT Technologies
Publication details
- Journal / source
- Wiley eBooks
- Pages
- 355–367
- Publication date
- 26 February 2026
- Language
- EN
- Document type
- Book chapter