Spatial Router Dynamic Queue Management for Drone Internet Connectivity
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Solution Overview
Problem
Current solutions for providing internet connectivity to remote areas, such as those proposed by SpaceX, OneWeb, Facebook, and Google, are costly and inefficient, as they rely on high-altitude satellites or drones, which require high-power components and are not suitable for real-time or near-real-time communication needs in diverse fields like smart grids, agriculture, and national security.
Innovation Solution
A system utilizing low-flying drones equipped with spatial routers that communicate with a network of satellites, including GEO and LEO satellites, to provide internet connectivity, using a store-and-forward mode and dynamic queue management to optimize data transmission based on satellite availability and priority, thereby reducing costs and enhancing real-time capabilities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If high-altitude satellites or drones are used to provide internet connectivity, then coverage area is increased, but power consumption and cost increase
Solution Approach 1:
The system segments the coverage area into multiple zones served by different low-flying drones, each covering a localized region. This allows each drone to operate at lower altitude with reduced power consumption while collectively providing broad coverage through coordinated operation of multiple units.
Solution Approach 2:
The patent transitions from high-altitude three-dimensional satellite coverage to low-altitude drone operations that can dynamically adjust their position and altitude. This dimensional flexibility allows drones to optimize their flight path and altitude for minimal power consumption while maintaining coverage.
2Ease of manufacture
If high-altitude satellites are used, then infrastructure cost increases, but real-time communication capability is reduced
Solution Approach 1:
The system employs dynamic queue management that adapts to changing satellite availability and communication conditions in real-time. Queues are dynamically created, modified, and serviced based on current operational status, enabling the system to respond quickly to changing conditions and maintain real-time communication capabilities.
Solution Approach 2:
Data is pre-processed and queued at the low-flying drone before satellite transmission is required. This preliminary action at the edge device reduces the need for complex real-time processing during satellite communication windows, thereby reducing overall communication delay and enabling faster data transmission when satellite links are available.
3Use of energy by moving object
If low-flying drones are used, then power consumption is reduced, but coverage area decreases
Solution Approach 1:
Each low-flying drone is equipped with a spatial router that provides multiple functions: local data processing, queue management, satellite communication interface, and wireless connectivity to ground devices. This multi-functionality allows a single drone to serve multiple purposes, effectively increasing coverage capability without requiring additional high-power components.
Solution Approach 2:
The patent combines the spatial router with the drone platform, integrating satellite communication capabilities, local data processing, and wireless networking into a single unified system. This merging allows the drone to provide comprehensive internet connectivity services while operating at low altitude with reduced power consumption.
4Productivity
If dynamic queue management is implemented, then data transmission efficiency is improved, but system complexity increases
Solution Approach 1:
The queue management system dynamically changes parameters such as queue priority, transmission timing, and satellite selection based on real-time conditions. By adjusting these parameters adaptively, the system optimizes data transmission efficiency without requiring fundamentally complex architectural changes, maintaining relatively simple system structure while achieving high productivity.
Data Source
AI summary
Fifty seven percent of the world's population, some 4.2 billion people, reside in places without internet access. Consequently, these areas also have no or limited infrastructure to deploy Internet of Things (IoT) devices/sensors. Numerous companies are racing to fill this communication gap and provide internet not only to those without internet but to also improve and provide additional options to those with internet access. One exemplary aspect is capable of providing a technically unique lower-cost solution for internet connectivity, and in particular for applications requiring real-time and/or near-real-time connectivity.


