PLC Switch Node Selection Algorithm for Network Overhead Reduction
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Solution Overview
Problem
There is a need for efficient selection of a switch node in power line communication (PLC) systems to ensure optimal data transmission and minimize network congestion.
Innovation Solution
An algorithm for selecting a switch node in PLC networks using a probabilistic approach, where terminal nodes request to join the network, neighboring nodes send promotion requests, and a base node selects the optimal switch node based on signal-to-noise ratio (SNR) and random number generation to reduce network congestion.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If terminal nodes send promotion requests to join the network, then network connectivity is improved, but network traffic overhead increases
Solution Approach 1:
The base node pre-calculates and stores optimal switch node selections before promotion requests arrive. When a terminal node requests promotion, the base node simply retrieves the pre-determined optimal node rather than performing real-time calculations, thus maintaining connectivity while minimizing additional traffic overhead.
Solution Approach 2:
The patent introduces an intermediary probabilistic algorithm that the base node uses to select optimal switch nodes. This intermediary mechanism processes promotion requests efficiently by using pre-generated random numbers and stored signal-to-noise ratio data, reducing the computational burden and traffic overhead associated with real-time decision-making.
2Adaptability or versatility
If multiple terminal nodes request promotion simultaneously, then network adaptability is improved, but network stability deteriorates
Solution Approach 1:
The base node performs preliminary assessments of terminal nodes' suitability for promotion and stores this information in advance. When multiple promotion requests arrive simultaneously, the base node uses pre-stored signal-to-noise ratio data and pre-generated random numbers to make stable, pre-determined selections without causing network instability.
Solution Approach 2:
The patent implements a feedback mechanism where the base node monitors promotion requests and uses pre-calculated optimal selections to respond. This feedback loop maintains network stability by preventing chaotic simultaneous promotions while still allowing multiple nodes to be promoted in a controlled, predetermined sequence.
3Measurement precision
If real-time switch node selection is performed, then decision accuracy is improved, but processing time increases
Solution Approach 1:
The base node performs signal-to-noise ratio measurements and optimal switch node calculations in advance, storing these results for future use. When promotion requests arrive, the base node retrieves pre-calculated information rather than performing real-time measurements and calculations, thus maintaining selection accuracy while dramatically reducing processing time.
Solution Approach 2:
The patent implements a dynamic system where the base node maintains pre-calculated optimal switch node selections that can be quickly retrieved and applied. This dynamic approach allows the system to switch between pre-stored optimal selections based on current promotion requests, maintaining accuracy while enabling rapid response times.
Data Source
AI summary
An algorithm for the promotion of terminal nodes to switch nodes in a PLC network reduces overall network overhead and collisions, while ensuring the appropriate selection of a switch node and minimizing the number of levels in a PLC network. It also ensures that the terminal nodes with appropriate signal-to-noise ratios (SNRs) are promoted. It is desirable to have a network with fewer levels. The disclosed approach favors the nodes that are closer to the DC to promote them as switch nodes. This is achieved by waiting for a smaller number of PNPDUs for a node that is closer to the DC in comparison to a node that is farther away from the DC.