Dynamic Gateway Selection for IoT Network Path Management
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Solution Overview
Problem
Existing routing protocols for edge and IoT devices are inefficient in dynamically adapting to changing network conditions and workloads, leading to suboptimal path and gateway assignments, which can result in data loss, congestion, and increased costs due to static associations and lack of network slicing awareness.
Innovation Solution
A method for dynamically selecting optimal gateways and paths based on real-time network characteristics, including signal strength, slicing information, and application requirements, using a database of gateway profiles to facilitate traffic shaping and splitting.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If current routing protocols are used in edge and IoT networks, then network connectivity is maintained, but dynamic selection of optimal gateways and paths is inefficient leading to congestion and data loss
Solution Approach 1:
The patent implements dynamic gateway and path selection by continuously monitoring network conditions (signal strength, congestion levels, latency) and adjusting routing decisions in real-time. The system transitions from static routing to dynamic routing where the optimal path is determined based on current network state, thereby improving routing efficiency while ensuring reliable data delivery.
Solution Approach 2:
The patent employs feedback mechanisms where network performance metrics are continuously collected from various nodes and used to adjust routing decisions. The system monitors gateway performance, signal quality, and network congestion, then feeds this information back to the routing protocol to select optimal paths, resolving the contradiction between efficiency and reliability.
2Adaptability or versatility
If network resources are allocated statically, then device complexity is reduced, but adaptability to changing network conditions and application demands is poor
Solution Approach 1:
The patent enables network nodes to autonomously select optimal gateways and paths based on pre-configured characteristics and real-time conditions without centralized control. Each device independently evaluates network parameters and makes routing decisions, providing adaptability to changing conditions while keeping individual device complexity low through standardized evaluation criteria.
Solution Approach 2:
The patent changes routing parameters dynamically based on network conditions and application requirements. Instead of fixed routing tables, the system adjusts routing parameters (gateway selection, path selection) based on varying conditions such as signal strength, congestion levels, and application-specific requirements, achieving high adaptability without excessive complexity.
3Ease of operation
If gateway selection is based on simple criteria, then ease of operation is improved, but optimal path selection based on multiple network parameters cannot be achieved
Solution Approach 1:
The patent segments the gateway selection process into distinct evaluation stages: first evaluating basic connectivity criteria, then assessing signal quality parameters, followed by congestion analysis, and finally application-specific requirements. This segmented approach maintains operational simplicity by processing criteria in manageable steps while achieving optimal path selection through cumulative evaluation.
Solution Approach 2:
The patent performs preliminary evaluation of gateway characteristics and stores optimal gateway information in advance based on historical data and pre-configured parameters. When routing decisions are needed, the system retrieves pre-evaluated gateway information and makes quick selections, maintaining ease of operation while achieving optimization through advance preparation.
Data Source
AI summary
The present disclosure relates to techniques for determining optimal routing paths for computing devices in a network, including selecting an optimal gateway among a number of available gateways. The techniques include gathering data regarding characteristics of a network, including gateways and network access nodes (NANs) in at least one access network. The characteristics can include, e.g., supported frequency bands, communication protocols, signal-to-noise ratio, power, signal noise and quality, slicing information, and whether a network vender is a standalone network vendor or a non-standalone network vendor. In one aspect, the characteristics are obtained using the Mobile Broadband Interface Model (MBIM). The characteristics can be used by devices in determining routing paths based on requirements of individual flows and/or workflows of individual application instances.