Drone Network Service Area Scheduling Optimization
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Solution Overview
Problem
Current drone network technologies face inefficiencies in scheduling service areas, leading to degraded communication quality and reduced network performance due to the mobility of drones and limitations in channel error handling, with no established method for determining the optimal number of sections for dividing service areas.
Innovation Solution
A method and apparatus for scheduling a service area in a drone network environment that calculates the optimal number of sections by maximizing throughput, dividing the service area into sections based on flight duration, speed, and size, and scheduling data collection and moving periods to improve network performance and energy efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the service area is divided into a large number of sections, then the channel error is reduced and communication quality is improved, but the traveling time of the drone increases and transmission opportunity decreases
Solution Approach 1:
The service area is divided into multiple sections to improve channel error performance. Each section is served sequentially by the drone, which hovers at the center of each section to provide communication services. This segmentation allows the drone to reduce the maximum distance to terminals in each section, improving signal quality and reducing channel errors.
Solution Approach 2:
The patent dynamically determines the optimal number of sections based on drone parameters (speed, flight duration) and service area characteristics. The system adjusts the number of sections and hovering time adaptively to balance channel error reduction with time efficiency, rather than using a fixed segmentation approach.
2Productivity
If the service area is divided into a large number of sections, then the network throughput is improved, but the energy consumption increases
Solution Approach 1:
The patent optimizes key parameters including the number of sections, hovering time per section, and drone speed to maximize network throughput while minimizing energy consumption. By adjusting these parameters based on specific service area requirements and drone capabilities, the system achieves energy-efficient operation without sacrificing throughput performance.
3Reliability
If the service area is divided into a large number of sections, then the communication quality is improved, but the scheduling complexity increases
Solution Approach 1:
The patent employs self-organizing algorithms that automatically determine the optimal number of sections and scheduling parameters based on input parameters (drone speed, flight duration, service area size). The system calculates and adjusts the segmentation and hovering schedule autonomously without requiring complex manual configuration or centralized control, reducing scheduling complexity while maintaining communication quality.
Data Source
AI summary
Provided is methods and apparatuses for scheduling service area in drone network environment. The method includes calculating a throughput in each section while changing a variable determining the number of sections within a maximum value of the variable and determining a variable, by which the calculated throughput becomes maximum, as an optimal value when a service area of the drone is divided into a plurality of sections, dividing the service area into a plurality of sections according to the determined optimal value and scheduling a service providing period of the divided service area, and communicating with a terminal located in the service area according to the scheduled service providing period. The present invention can enhance the networks throughput and energy-efficiency of drone networks.