This technology divides a 3D area of interest into cubic cells of a specific size. An unmanned aerial vehicle (UAV) explores the space, collects information on cells occupied by structures, and determines optimal placement for UAVs acting as communication nodes. The UAV scans planes at consistent heights to map structure outlines, then repeats the process at different altitudes to capture the full 3D structure.
Structures such as buildings or terrain in 3D space often block radio signals, creating communication dead zones. In environments lacking existing infrastructure, there has been a lack of technology to efficiently deploy UAVs to establish networks while accounting for these physical obstacles.
This technology aligns cell size with the UAV's detection range, optimizes paths by avoiding previously scanned cells, and moves toward target cells with the highest density of unvisited areas. It adjusts altitude to navigate around taller structures and follows their outlines. During deployment, it establishes base positions on planes spaced by the communication radius, adding adjacent nodes to bridge gaps in connectivity. When multiple UAVs meet, they exchange detection data to reassign exploration zones. This enables 3D deployment that accounts for structure height, effectively eliminating dead zones behind buildings and at high altitudes in applications like urban disaster communication, industrial plant/port wireless networks, and complex indoor-outdoor spaces like underground parking lots.
This invention was developed with support from the Ministry of Science and ICT for the design of fog network architecture for local-based distributed processing through efficient computing, storage, and network resource sharing among IoT devices.
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