Power Line Network Central Controller Selection Method
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Solution Overview
Problem
Conventional power line networks lack a mechanism to select the optimal central controller based on actual network state, leading to compromised network performance and unstable signal transmission due to factors like phase interference and noise from electrical appliances.
Innovation Solution
A method where controllers in a power line network use central controller evaluation and selection software to detect and calculate connected states, select and assign the optimal controller, and re-evaluate when network changes occur, ensuring optimal performance by prioritizing parameters like data rate and node support.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the first controller turned on is preset as the central controller, then the selection process is simple and fast, but the network performance and signal transmission stability are compromised due to lack of optimization
Solution Approach 1:
The patent applies preliminary action by having controllers pre-configured with evaluation criteria and selection software before network formation. When a controller becomes the central controller, it automatically executes the evaluation and selection process using pre-loaded algorithms to assess network topology, signal strength, and interference levels, thereby optimizing the selection without requiring manual intervention or complex real-time calculations.
Solution Approach 2:
The patent implements feedback mechanisms where controllers continuously monitor network conditions including signal transmission quality, data rate, and interference levels. The central controller receives feedback from all controllers, evaluates their performance based on predefined criteria, and dynamically selects the optimal controller. This closed-loop feedback system ensures that the central controller is always the one that maximizes network performance and stability.
2Device complexity
If controllers are selected without considering actual network state, then the selection mechanism is simple, but signal transmission stability deteriorates due to phase interference and noise
Solution Approach 1:
The patent applies self-service by enabling controllers to autonomously evaluate and select the optimal central controller based on their own performance metrics and network conditions. Each controller independently monitors its own signal quality, data rate, and interference levels, then contributes this information to the collective selection process. This self-service approach eliminates the need for external management while ensuring that the selected central controller optimizes signal transmission stability despite phase interference and noise.
Solution Approach 2:
The patent implements parameter changes by dynamically adjusting selection criteria based on real-time network conditions. The evaluation parameters such as signal strength, data rate, and interference levels are continuously updated and weighted differently according to current network state. This allows the selection mechanism to adapt to changing conditions like phase interference and noise, maintaining signal transmission stability without requiring a complex fixed rule set.
3Quantity of substance
If the number of controllers is increased to support more nodes, then the network capacity increases, but the difficulty of selecting the optimal central controller increases
Solution Approach 1:
The patent applies segmentation by dividing the controller evaluation process into independent modules, each responsible for assessing specific aspects such as signal strength, data rate, and interference levels. The central controller selection is segmented into multiple evaluation stages: initial eligibility screening, performance metric collection, and final optimization selection. This segmentation makes the detection and measurement process manageable even as the number of controllers and supported nodes increases.
Solution Approach 2:
The patent implements universality by designing a multi-functional evaluation and selection system that can handle various network configurations and numbers of controllers. The selection software and evaluation criteria are designed to be universally applicable across different network topologies, from small local networks to large-scale deployments with numerous nodes. This universal approach simplifies the detection and measurement process regardless of the number of controllers involved.
Data Source
AI summary
The present invention is to provide a method for selecting the optimal central controller in a power line network, which is applicable to the power line network including at least one terminal device, at least one network device and a plurality of controllers. The controllers are respectively installed with a central controller evaluation and selection software and connected to the terminal device and/or network device, and can communicate with one other through power line. The method is performed by a central controller, that is determined by negotiation between the controllers, via the software and includes the steps of detecting and calculating the connected states of the controllers in the power line network; selecting the optimal controller according to the connected states, assigning the optimal controller as new central controller, and notifying the new central controller to the other controllers, so as to optimize the performance of the power line network.