Self-Organizing Network Node Connection Based on Performance Parameters
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Solution Overview
Problem
In self-organizing networks, nodes with varying performance levels are treated equally, leading to poor performance and bottlenecks, as nodes with lower performance capabilities hinder the overall network efficiency.
Innovation Solution
A method to determine performance parameters of node devices in self-organizing networks, allowing terminals to decide whether to establish connections based on these parameters, and optionally considering network type and degree value, to optimize network performance and prevent bottlenecks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If all nodes in the self-organizing network are treated equally without considering performance differences, then the network is simple to construct and maintain, but the overall network performance deteriorates due to bottlenecks caused by low-performance nodes
Solution Approach 1:
The patent applies local quality by differentiating node treatment based on performance characteristics. High-performance nodes are selected as cluster heads with enhanced responsibilities, while ordinary nodes have simpler functions. This creates spatial heterogeneity in node roles, where each node's functionality is optimized according to its local performance quality, thereby improving overall network performance without requiring complex centralized management.
Solution Approach 2:
The patent implements dynamics through the dynamic selection and rotation of cluster heads. Nodes transition between ordinary and cluster head roles based on performance parameters and network needs. The cluster head selection is not static but adapts over time, allowing the network to dynamically optimize its structure based on changing conditions, thus improving productivity while maintaining manageable complexity.
2Adaptability or versatility
If nodes with poor performance are allowed to join the network freely, then the network is more adaptable and easier to expand, but the network reliability deteriorates due to bottlenecks and potential failures
Solution Approach 1:
The patent applies preliminary action by evaluating node performance parameters before allowing nodes to join the network or become cluster heads. The system pre-assesses nodes based on criteria such as battery capacity, processing power, and memory, and makes decisions about node admission and role assignment in advance. This prevents low-performance nodes from becoming reliability bottlenecks while still allowing network expansion through controlled admission of new nodes.
Solution Approach 2:
The patent introduces cluster heads as intermediary nodes that mediate between ordinary nodes and the network core. Cluster heads aggregate traffic and manage local node operations, isolating potential failures of ordinary nodes from the broader network. This intermediary layer protects network reliability by preventing single node failures from propagating, while still allowing numerous nodes to join the network through the cluster head structure.
3Reliability
If performance-based node differentiation is implemented, then network performance and reliability improve, but the device complexity increases due to performance evaluation and selective connection mechanisms
Solution Approach 1:
The patent applies segmentation by dividing the network into clusters with cluster heads and ordinary nodes. This segmentation simplifies connection management by creating hierarchical structures where cluster heads handle management functions for groups of nodes. The performance evaluation and selective connection mechanisms are applied at the cluster level rather than requiring complex peer-to-peer management across all nodes, thus improving reliability while controlling the growth of device complexity.
4Productivity
If performance parameters are evaluated for all nodes, then the network can avoid bottlenecks and improve efficiency, but the time and energy consumption increase due to continuous monitoring and evaluation
Solution Approach 1:
The patent applies partial action by evaluating performance parameters selectively rather than continuously for all nodes. Full performance evaluation is performed only for nodes seeking to join the network or become cluster heads. For existing nodes, the system uses periodic or event-triggered evaluations rather than continuous monitoring. This approach maintains network efficiency by ensuring high-performance nodes are properly identified while minimizing the time and energy overhead of evaluation activities.
Data Source
AI summary
The present application provides a network connection establishment method, a terminal device, and a node device, and relates to the self-organizing network field. The method comprises: determining at least one performance parameter of a node device in a self-organizing network; and determining, according to at least the at least one performance parameter, whether to establish a network connection with the node device. According to the method, the terminal device, and the node device, whether to establish a network connection with a node device in a self-organizing network may be determined according to at least one performance parameter of the node device, which can thereby improve overall performance of the self-organizing network, and effectively avoid a problem that some node devices become a network bottleneck.