Abstract
Multi-UAV Operations are an area of great interest in government, industry, and research community. In multi-UAV operations, a group of unmanned aerial vehicles (UAVs) are deployed to carry out missions such as search and rescue or disaster relief. As multi-UAV systems operate in an open operational environment, many disrupting events can occur. To this end, resilience of these systems is of great importance. The research performed and reported in this paper utilizes simulation-based research methodology and demonstrates that resilience of multi-UAV systems can be achieved by real-time evaluation of resilience alternatives during system operation. This evaluation is done using a dynamic utility function where priorities change as a function of context. Simulation results show that resilience response can in fact change depending on the context.
Highlights
Unmanned Aerial Vehicle (UAVs) are deployed as a group for a variety of application domains such as military reconnaissance and surveillance, search and rescue, science data collection, agriculture, payload delivery, or as flying ad-hoc networks (FANET) to support wireless communications [1,2,3,4,5,6,7,8].A Multi-unmanned aerial vehicles (UAVs) system is essentially a network of UAVs in which managing interaction and dependencies are important for successful mission execution
Multi-UAV operations are important for a variety of applications in both military and civilian domains
Multi-UAV systems are discussed from a system-of-systems perspective
Summary
A Multi-UAV system is essentially a network of UAVs (agents) in which managing interaction and dependencies are important for successful mission execution. Operating multiple UAVs simultaneously has several advantages. It enables flexible allocation of requirements to multiple vehicles, which reduces operational complexity while increases overall mission coverage. Component systems can collect information from multiple sources (using onboard sensors), share that information with other members and execute actions in coordinated fashion in multiple locations [9]. This capability brings more time efficiency into mission execution as vehicles perform assigned or negotiated tasks in parallel to fulfill mission objective [10]
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