UAV Service Decision Network for Overlapping Edge Coverage
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Solution Overview
Problem
In remote areas where multiple unmanned aerial vehicle (UAV) servers provide mobile edge computing services, overlapping coverage areas lead to resource wastage as multiple servers respond to a single terminal's task request.
Innovation Solution
A service decision method and device that utilize a target decision network to determine whether a UAV server should provide services to a terminal within an overlapping coverage area, ensuring that only one server handles the task request.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple unmanned aerial vehicle servers provide mobile edge computing service in overlapping coverage areas, then service coverage is improved, but resource utilization deteriorates due to multiple servers responding to a single terminal's task request
Solution Approach 1:
The patent introduces a decision network as an intermediary mechanism between terminal task requests and multiple UAV servers. The decision network processes the task request and generates a target decision-making instruction that directs the terminal to select a specific server, thereby mediating the interaction between terminals and multiple servers to prevent resource waste from duplicate service provision.
Solution Approach 2:
The patent changes the decision-making parameter from direct server response to a structured decision-making instruction generated by the target decision network. By transforming the service allocation mechanism into a parameter-driven decision process, the system optimizes resource allocation while maintaining overlapping coverage, resolving the contradiction between coverage and resource utilization.
2Reliability
If multiple unmanned aerial vehicle servers respond to a single terminal's task request in overlapping areas, then service availability is improved, but computing resource waste occurs
Solution Approach 1:
The decision network serves as an intermediary that receives task requests from terminals and generates targeted decision-making instructions. This intermediary mechanism ensures that only one server is selected to handle each task request, maintaining service availability while preventing computing resource waste from multiple servers processing the same task.
Solution Approach 2:
The patent extracts the decision-making function from the server response mechanism and places it in a dedicated decision network. By separating the decision-making process from direct server execution, the system ensures that service availability is maintained through the decision network's coordination while eliminating redundant computing resource consumption.
3Reliability
If multiple unmanned aerial vehicle servers provide service to a terminal in overlapping coverage, then service redundancy is improved, but bandwidth waste occurs
Solution Approach 1:
The decision network acts as an intermediary that coordinates bandwidth allocation by generating a single target decision-making instruction for each terminal task request. This intermediary mechanism ensures that bandwidth is allocated to only one server per task, maintaining service redundancy through the decision network's coordination while preventing bandwidth waste from multiple servers transmitting duplicate service data.
Data Source
AI summary
The present application relates to a service decision method and a service decision device. The method includes: receiving a task request sent by a terminal, the task request including a terminal identifier, terminal location information and task information of the terminal; determining that the terminal is currently in an overlapping coverage area, generating a decision-making instruction according to the task request and a target decision network, and sending the decision-making instruction to the terminal according to the terminal identifier, the decision-making instruction being used to indicate whether a target unmanned aerial vehicle server provides to the terminal a service corresponding to the task request, and the target decision-making instruction being used by the terminal to select one server from among the target unmanned aerial vehicle server and the other unmanned aerial vehicle servers to provide the service. Using the present method can improve resource utilization.