Self-Configuring Wireless Mesh Network Nodes
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Solution Overview
Problem
Existing wireless local area networks face challenges in providing cost-effective, high-performance, secure, and flexible wireless connectivity for a large number of users with efficient management and self-adjustment capabilities, especially when nodes are added, removed, or fail.
Innovation Solution
A wireless local area network system utilizing intelligent nodes with multiple components and software that enables self-discovery, mesh topology, and automatic routing optimization, supporting multiple radio-frequency technologies like IEEE 802.11 and Bluetooth, ensuring secure connections and adaptability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional wireless networks use fixed configuration and manual management, then initial setup and control are straightforward, but the system cannot adapt when nodes are added, removed, or fail
Solution Approach 1:
The wireless network system performs self-configuration and self-optimization automatically. Nodes discover themselves and other nodes, determine their roles (access point or backhaul), and establish mesh topology without manual intervention. The system continuously monitors and re-optimizes routing when nodes are added, removed, or fail, eliminating the need for manual reconfiguration while maintaining adaptability.
2Adaptability or versatility
If wireless networks support multiple radio-frequency technologies and mesh topology with self-discovery, then connectivity and adaptability improve, but management and configuration complexity increase
Solution Approach 1:
The system automatically discovers available nodes and their capabilities, including support for different radio-frequency technologies (IEEE 802.11, Bluetooth). Each node independently determines its role and configures its interfaces, selecting appropriate technologies for access point or backhaul functions. This self-configuration eliminates manual management complexity while supporting multi-technology environments.
Solution Approach 2:
The system dynamically adjusts operational parameters such as routing paths, interface selections, and role assignments based on current network conditions. Nodes change their configuration parameters automatically in response to topology changes, node failures, or performance requirements, maintaining ease of operation through adaptive parameter optimization.
3Reliability
If the system continuously optimizes routing and monitors node status, then network performance and reliability improve, but energy consumption and processing load increase
Solution Approach 1:
The system performs optimization and monitoring at periodic intervals rather than continuously. Nodes exchange status information and re-evaluate routing paths at scheduled times or when triggered by significant events (node addition/removal). This periodic operation maintains network reliability through regular optimization while reducing energy consumption and processing load compared to continuous monitoring.
Data Source
AI summary
A system and associated method provides for a wireless local area network (WLAN) that permits mobile units to communicate with an external, wired network. Nodes in the WLAN include multiple components, such as a base module, antenna module, and one or more wireless modules. Indeed, this system can employ two or more wireless modules that employ different short-range wireless protocols, such as IEEE 802.11-type and Bluetooth protocols. The nodes may perform self-discovery to determine modules within the node and associated functionality, as well as identify neighboring nodes to thereby establish a mesh-type network. Nodes can be configured to provide connectivity to the wired network, while others (access points) communicate wirelessly with mobile devices. The nodes may then be interconnected wirelessly, or via wires.