Multi-Modal IoT Gateway Bandwidth Aggregation
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Solution Overview
Problem
Conventional IoT devices face bandwidth limitations and network reliability issues, leading to interruptions and latency in applications like live video streaming, due to insufficient or unreliable bandwidth, especially in scenarios where network upgrades are costly and time-consuming.
Innovation Solution
The intelligent multi-modal IoT gateway aggregates available bandwidth from various networks, employs fog computing, and uses artificial intelligence to automatically discover and connect with devices, creating a fault-tolerant system that ensures continuous data transmission and local decision-making, thereby enhancing network reliability and reducing latency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If network upgrades are implemented to increase bandwidth capacity, then network throughput and reliability are improved, but implementation cost and time consumption increase significantly
Solution Approach 1:
The patent combines multiple network connections (primary and secondary networks) into a single gateway system that aggregates their bandwidth capacity. The gateway simultaneously utilizes both networks to provide sufficient throughput without requiring infrastructure upgrades, resolving the contradiction by merging available resources rather than acquiring new ones.
Solution Approach 2:
The gateway is designed to perform multiple functions: it operates on primary networks for normal traffic, automatically switches to secondary networks when primary networks fail, and can aggregate both simultaneously. This multi-functionality ensures network reliability without requiring separate dedicated systems for each function.
2Reliability
If bandwidth aggregation from multiple networks is implemented, then network throughput and reliability are improved, but system complexity increases
Solution Approach 1:
The gateway automatically discovers available networks, performs bondability checks, and configures itself without manual intervention. The system self-manages the complexity of multi-network aggregation by autonomously handling connection establishment, failover detection, and bandwidth optimization, thereby improving reliability without requiring complex manual configuration.
Solution Approach 2:
The gateway pre-configures itself with backup network connections and establishes secondary network paths before primary network failures occur. By performing preliminary setup and validation of multiple network paths in advance, the system ensures immediate failover capability without requiring complex real-time decision-making during failures.
3Ease of operation
If automatic network discovery and connection is implemented, then ease of deployment is improved, but processing time and computational resources increase
Solution Approach 1:
The gateway performs automatic network discovery and bondability validation in advance during initialization, before actual data transmission begins. By completing the time-consuming discovery and compatibility checks preliminarily, the system enables rapid connection establishment when needed without sacrificing deployment ease.
Data Source
AI summary
A fog network gateway includes at least one wireless communication interface, at least one cellular communication interface, and at least one wireline communication interface. The fog network gateway further includes connectivity logic configured to provide connection between a remote device and at least one local device via at least one of the wireless, cellular, and wireline communication interfaces, fog networking logic configured to form a fog network with the at least one local device for transmitting data thereto, and bandwidth aggregation logic configured to aggregate available bandwidth from at least two of the wireless, cellular, and wireline communication interfaces to ensure adequate bandwidth for data transmission between the remote device and the at least one local device. The fog network gateway further includes artificial intelligence logic configured to analyze data received from the at least one local device via the wireless, cellular, and wireline communication interfaces, and take appropriate action in response to the analysis.