Mesh Network Streaming via Sample Rate Reduction and Interpolation
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Solution Overview
Problem
Wireless mesh networks face bandwidth limitations and data flooding issues when transmitting streaming protocols, leading to reduced data throughput and fidelity, particularly in applications like lighting control, where traditional star networks require complex installations and mesh networks struggle with data speed and collision domains.
Innovation Solution
The system and method involve reducing the sample rate of the streaming protocol at the data source and reconstructing it at the sinks using interpolation techniques, such as linear interpolation, to simulate the original data stream, while adjusting reconstruction parameters to optimize data transmission within the mesh network's capacity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If full input data stream is transmitted through mesh network, then data fidelity is maintained, but network throughput capacity is exceeded and data flooding occurs
Solution Approach 1:
The patent extracts only essential samples from the full input data stream at the source node, removing redundant data before transmission through the mesh network. This reduces network load while preserving critical information needed for reconstruction at sink nodes.
Solution Approach 2:
The patent creates reconstructed copies of the original data stream at sink nodes using interpolation algorithms. These copies are generated from transmitted samples, allowing faithful reproduction of the original data without transmitting the complete original stream through the network.
2Productivity
If sample rate is reduced at data source, then network throughput capacity is improved, but data fidelity deteriorates
Solution Approach 1:
The patent introduces interpolation algorithms as intermediary processing at sink nodes. These algorithms act as mediators that reconstruct the full data stream from sampled points, bridging the gap between reduced sample rate transmission and faithful data reproduction.
Solution Approach 2:
The patent changes the sampling rate parameter at the source node to match network capacity constraints, while simultaneously applying reconstruction parameters (interpolation methods) at sink nodes to restore data fidelity. This parameter transformation allows operation within network limits while maintaining output quality.
3Measurement precision
If interpolation is used to reconstruct data stream, then data fidelity is improved, but processing complexity increases
Solution Approach 1:
The patent segments the reconstruction process into discrete interpolation operations performed at each sink node independently. This divides the complex task of full stream reconstruction into manageable local computations, reducing overall system complexity while maintaining fidelity.
4Device complexity
If mesh network is used instead of star topology, then installation complexity is reduced and network robustness is improved, but data throughput capacity decreases
Solution Approach 1:
The patent applies local quality optimization by transmitting full-resolution data only to border nodes directly connected to the source, while interior nodes receive and process reduced sample rate data. This localized differentiation allows mesh network operation at higher effective throughput while maintaining installation flexibility.
Data Source
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AI summary
A wireless mesh network and a method of reducing for reducing a sampling rate of a streaming protocol in a multi-hop mesh network is disclosed. The method comprising:receiving, by a source node in the mesh network, an input data stream; generating, by the source node, a plurality of sample frames from the received input data stream, each of the plurality of sample frames having a sample rate that can be handled by the mesh network, transmitting the plurality of the sample frames to one or more sink nodes and reconstructing the input data stream from the plurality of sample frames received at the one or more sink nodes. The input data stream may be received from an application outside the mesh network or from an application in the source node.The reconstruction may use interpolation, which may be dynamically varied,and may be informed by metadata transmitted from the original source node.