Roofing Mesh Gateway Metering for Node Bandwidth Contribution
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Solution Overview
Problem
Existing mesh network management systems lack efficient methods for tracking and incentivizing participation and contribution of nodes, particularly those integrated into roofing materials, which are crucial for optimizing network performance and expanding network reach.
Innovation Solution
The integration of a roofing mesh network node with a gateway that monitors and tracks passthrough and consumed data capacity, using machine learning to predict future data capacity, and communicates metrics to service providers for incentivizing participation, thereby enhancing network performance and reach.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If mesh network nodes are integrated into roofing materials, then network reach and deployment are improved, but tracking and managing node contributions becomes more complex
Solution Approach 1:
A gateway device is introduced as an intermediary between the mesh network nodes integrated in roofing materials and the central management system. The gateway collects bandwidth contribution data from multiple nodes, processes this information, and communicates with the central system, thereby simplifying the tracking complexity while enabling expanded network reach through roofing-integrated nodes
2Reliability
If bandwidth contribution is tracked for each node, then network optimization is improved, but system complexity increases
Solution Approach 1:
The bandwidth tracking system is segmented into distributed components: each mesh node monitors its own bandwidth contribution locally, and the gateway aggregates this data. This segmentation eliminates the need for a complex centralized tracking system while maintaining accurate optimization data, as each node independently reports its contributions to the gateway for further processing
3Reliability
If passthrough traffic is routed through the gateway, then network performance is improved, but data capacity management complexity increases
Solution Approach 1:
The gateway is configured to automatically identify and route passthrough traffic based on pre-established network conditions and policies. It self-determines which data packets should be forwarded through the mesh network versus handled locally, reducing the need for complex manual data capacity management while maintaining optimal network performance through automated decision-making
Data Source
AI summary
Systems and methods of the present disclosure enable mesh network capacity management via network metering using a processor an integrated roofing mesh network node in a mesh network to receive and transmit data packets in the mesh network. Each data packet includes a source address, a destination address, and a payload of data. The processor determines passthrough traffic including a subset of data packets routed between radio nodes of the mesh network through the gateway based on the source address and the destination address of each data packet and an address associated with the gateway. The processor determines a passthrough data capacity based on the payload of each data packet in the subset and determines a metric based on the passthrough data capacity to signify an amount of mesh network bandwidth provided by the integrated roofing mesh network node.