40 lines
1.6 KiB
Markdown
40 lines
1.6 KiB
Markdown
# Enabling Real-Time Communications and Services in Heterogeneous Networks of Drones and Vehicles
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### Real World Experiments
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#### Agricultural Monitoring Application
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- Agricultural context in UK
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- The production of potatoes or livestock has always been a major part of farming
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- There has always been a need for farmers to be able to observe their field crops or animals as often as possible so that they are informed quickly about potential deep-rooted problems in the fields.
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Enable reliable mobile multi-hop DTN communications (in a field near Nottingham).
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- 2 Flying drones
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- 1 Vehicle
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- 2 Static ground sensing nodes
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- Raspberry Pis
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- These capture and send data to the drones, which forward it to a node with higher computational output
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The two static sensing nodes are deployed on two different sides of the field, out of reach of each other, while the drone acts as an intermediary.
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All sensing nodes could measure
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- Air temperature
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- Wind speed
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- Soil temperature
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We measure average edge-to-edge (E2E) delays of content queries and dissemination in the network.
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- Two drones and one vehicle (3 intermediaries) result in lower delays
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#### Smart City Applications
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- More focused on single-hop communication
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- 1 Hovering drone (publisher)
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- Moving vehicle (subscriber)
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- The drone continuously sends information such as sensor readings, street images and traffic videos to the vehicle, which monitors road conditions
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- Single-hop communication is significantly affected by physical obstructions
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- Therefore the latency went down in suburbs compared to city centres
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- Height of the drone is important as well
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