Affiliation:
1. Department of Electrical Engineering, Federal University of Juiz de Fora (UFJF), Juiz de Fora-MG/36036-900, Brazil
2. Department of Electronics Technology, University of Málaga, Málaga 29071, Spain
Abstract
Unmanned aerial vehicles (UAVs) are a relatively new technology. Their application can often involve complex and unseen problems. For instance, they can work in a cooperative-based environment under the supervision of a ground station to speed up critical decision-making processes. However, the amount of information exchanged among the aircraft and ground station is limited by high distances, low bandwidth size, restricted processing capability, and energy constraints. These drawbacks restrain large-scale operations such as large area inspections. New distributed state-of-the-art processing architectures, such as fog computing, can improve latency, scalability, and efficiency to meet time constraints via data acquisition, processing, and storage at different levels. Under these amendments, this research work proposes a mathematical model to analyze distribution-based UAVs topologies and a fog-cloud computing framework for large-scale mission and search operations. The tests have successfully predicted latency and other operational constraints, allowing the analysis of fog-computing advantages over traditional cloud-computing architectures.
Subject
Electrical and Electronic Engineering,Computer Networks and Communications,Information Systems
Cited by
39 articles.
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