UAV-assisted emergency communication network optimization method and system considering weather risks

By constructing a UAV-assisted emergency communication path planning model and using the Benders decomposition algorithm to optimize the UAV path, the stability problem of the UAV-assisted emergency communication network in complex and severe weather conditions was solved, and efficient communication guarantee was achieved after emergencies.

CN119729441BActive Publication Date: 2025-09-16SHANDONG UNIV
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Patent Information

Application Number
CN202510198980.9
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2025-02-24
Publication Date
2025-09-16
Estimated Expiration
2045-02-24

AI Technical Summary

Technical Problem

Existing drone-assisted emergency communication networks are difficult to ensure stability and reliability under complex and severe weather conditions, and are prone to malfunctions or mission failures due to weather factors, increasing rescue costs and delaying critical rescue work.

Method used

A UAV-assisted emergency communication path planning model considering time consumption and energy consumption is constructed. Combined with UAV assignment, path, risk and energy consumption constraints, the Benders decomposition algorithm is used to optimize UAV path planning, and a UAV-assisted emergency communication network optimization method and system considering weather risks are designed.

Benefits of technology

It effectively improves the stability and reliability of the drone-assisted emergency communication network under complex and severe weather conditions, reduces path costs and risk loss costs, and improves the performance and efficiency of the communication network.

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Abstract

The present invention relates to the field of drone-assisted emergency communications. To address the problem of ignoring weather risks, which may lead to drone crashes or mission failures due to unexpected malfunctions, a method and system for optimizing drone-assisted emergency communications networks that consider weather risks are provided. The method includes obtaining information related to the affected area and drones in an emergency event that considers weather risks, and then constructing a drone-assisted emergency communications path planning model based on a drone-assisted emergency communications framework that considers time and energy consumption. Based on the drone-assisted emergency communications path planning model, an optimal drone-assisted emergency communications path plan is calculated, thereby achieving the goal of efficiently designing and optimizing drone-assisted emergency communications network plans after an emergency event occurs.
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