Wireless Network Topology Optimization via Centralized Controller
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Solution Overview
Problem
Conventional network topology generation mechanisms require significant time and resources to rebuild networks when conditions change or the number of devices alters, and they necessitate nodes to store information about the network environment, leading to increased costs and complexity.
Innovation Solution
A method and system that dynamically determine an optimal network topology for multiple wireless intelligent devices by using a processing device to generate commands for connecting these devices, minimizing virtual connections, and optimizing the network based on data density and load connections, thereby reducing the need for physical reconfiguration and environmental data storage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional network topology generation mechanisms are used, then network connections can be established, but significant time and resources are required to rebuild networks when conditions change or device numbers alter
Solution Approach 1:
The patent implements dynamic topology adjustment by enabling the network to automatically reconfigure when devices are added or removed. The system continuously monitors network conditions and dynamically updates routing paths without requiring complete network rebuild, allowing the network structure to adapt flexibly to changing conditions in real-time.
Solution Approach 2:
The patent establishes preliminary routing paths during network initialization that are designed to be easily adjustable. By pre-configuring flexible routing structures and establishing baseline connectivity patterns, the network is prepared in advance to quickly adapt to changes without requiring extensive rebuilding time when devices are added or removed.
2Reliability
If nodes store information about network environment, then network operation can be maintained, but costs and complexity increase
Solution Approach 1:
The patent extracts the complex network environment information storage requirement from individual nodes and centralizes it in a network controller. Individual devices only need to store minimal identification information, while the controller maintains the comprehensive network topology map and routing information, significantly reducing the complexity and memory requirements for each node.
Solution Approach 2:
The patent introduces a network controller as an intermediary that manages network information centrally. This mediator handles the complex tasks of maintaining network topology information and computing routing paths, allowing individual devices to operate with simplified information storage while maintaining reliable network operation through the controller's coordination.
3Productivity
If powerful base stations are used for LoRa technology, then efficient network performance is achieved, but execution cost increases significantly
Solution Approach 1:
The patent makes existing wireless devices multi-functional by enabling them to perform both data transmission and network control functions. Devices can operate as end nodes for data communication while simultaneously serving as lightweight base stations or controllers for topology management, eliminating the need for separate powerful infrastructure equipment and reducing overall system cost.
Solution Approach 2:
The patent enables network devices to self-configure and self-manage the network topology without requiring external powerful base stations. Devices automatically discover each other, establish connections, and maintain routing paths through distributed algorithms, allowing the network to serve itself and eliminating the need for expensive centralized infrastructure.
Data Source
AI summary
A method for generating a network topology for multiple wireless intelligent devices of a single distributed local network is disclosed. The method includes determining an optimal network topology for the multiple wireless intelligent devices of the single distributed local network. The method further includes generating a plurality of commands to be transmitted to one or more of multiple wireless intelligent devices of the determined optimal network topology. Further, the method includes instructing the plurality of commands to connect the one or more of multiple wireless intelligent devices to generate the determined optimal network topology.