Dynamic adaptive path planning method and system for industrial network wireless backhaul
CN117202300BActive Publication Date: 2026-07-07SHANGHAI INTELLIGENT & CONNECTED VEHICLE R & D CENTER CO LTD +1
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- SHANGHAI INTELLIGENT & CONNECTED VEHICLE R & D CENTER CO LTD
- Filing Date
- 2023-09-19
- Publication Date
- 2026-07-07
AI Technical Summary
Technical Problem
Existing technologies cannot adjust wireless backhaul topology planning in a timely manner according to the environment and equipment status, resulting in high costs and failure to meet backhaul path loss constraints.
Method used
By acquiring the geographical locations of roadside stations and access stations, setting constraints, generating an initial wireless backhaul topology model, and using optimization algorithms to reduce path loss and cost, the topology model is dynamically adjusted in conjunction with a network status feedback mechanism.
Benefits of technology
It enables adaptive adjustment based on environment and equipment status, reduces the cost of wireless backhaul, meets path loss constraints, and improves data backhaul efficiency and reliability.
✦ Generated by Eureka AI based on patent content.
Smart Images
Figure CN117202300B_ABST
Abstract
The application relates to a dynamic self-adaptive path planning method and system for industrial network wireless backhaul, and the method comprises the following steps: acquiring the geographical positions of all roadside stations and access stations, setting constraint conditions, connecting according to the minimum criterion on the premise of meeting the constraint conditions according to the geographical positions of the roadside stations and the access stations, randomly generating an initial wireless backhaul topology model, reducing the path loss and cost of the initial wireless backhaul topology model in global backhaul, and obtaining a final wireless backhaul topology model; feeding back the network state of the current wireless backhaul topology model every time T, wherein the network state comprises a load state, the running state of each station and the power state of each station, and adjusting the wireless backhaul topology model according to the network state; compared with the prior art, the application can adaptively adjust the wireless backhaul scheme with low cost and meeting the backhaul path loss constraint condition according to the environment and the equipment state.
Need to check novelty before this filing date? Find Prior Art