IoT Connectivity Path Selection via Metadata Similarity
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Solution Overview
Problem
IoT devices have static connectivity paths, preventing dynamic interaction and failing to adapt to user needs or device failures, leading to ineffective automation and redundancy in connectivity.
Innovation Solution
A method and system that dynamically determine and select optimal connectivity paths between IoT devices based on metadata similarity, allowing for adaptive triggering and alternative device activation in case of failures.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If static connectivity paths are used between IoT devices, then device interaction is simplified and connectivity is stable, but the system cannot adapt to user needs or device failures and loses flexibility
Solution Approach 1:
The patent implements dynamic connectivity paths that can change based on device status and user needs. The system continuously monitors device outputs and automatically selects alternative connectivity paths when devices fail or user needs change, transforming the static connectivity model into a dynamic one that adapts in real-time without requiring manual reconfiguration.
2Reliability
If multiple connectivity paths are maintained for redundancy, then system reliability improves during device failures, but system complexity and resource consumption increase
Solution Approach 1:
The system pre-establishes multiple connectivity paths in the database before devices actually fail. When a device failure occurs, the system can immediately switch to a pre-defined alternative path without needing to dynamically discover new routes, reducing both the complexity of real-time decision-making and the response time for maintaining system continuity.
3Extent of automation
If dynamic path selection based on metadata similarity is implemented, then automation effectiveness improves and devices can trigger appropriately, but processing complexity and computational resources increase
Solution Approach 1:
The system uses metadata similarity as a parameter to select connectivity paths. Instead of complex rule-based logic, the system compares metadata parameters between devices to determine appropriate triggering relationships. This parameter-based approach simplifies the decision-making process while maintaining high automation accuracy, as metadata comparison is computationally efficient compared to full rule evaluation.
Data Source
AI summary
The present disclosure provides a method and a system for triggering of Internet of things (IoT) devices. The system comprising a processor causes the processor to receive a change in output of first IoT device from a plurality of IoT devices, wherein the plurality of IoT devices are connected to each other, determine one or more connectivity paths between the plurality of IoT devices including the first IoT device based on stored connectivity paths between the plurality of IoT devices in a database, select one of the determined one or more connectivity paths between the plurality of IoT devices, wherein the selecting is based on similarity of metadata of each of the plurality of IoT devices in each of the one or more connectivity paths and trigger one or more IoT devices of the plurality of IoT devices in the selected connectivity path.