IoT Network Relationship Discovery and Access Control
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Solution Overview
Problem
Current IoT technologies face challenges in automatically creating configurable sub-divisions within IoT networks and implicitly establishing relationships between IoT devices, leading to inefficient management and control of interactions among heterogeneous devices and users.
Innovation Solution
A mechanism that detects and registers IoT devices and physical objects into a network, monitors interactions, and creates groups or sub-networks based on usage patterns, while also implicitly assigning relationship ranks to users based on interaction data, allowing for dynamic and context-aware access control.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If automatic device detection and registration is implemented, then device onboarding efficiency is improved, but network complexity increases
Solution Approach 1:
The patent implements self-service mechanisms where IoT devices automatically detect each other and register with the network without manual configuration. Devices autonomously generate device information records, establish relationships, and integrate into the network structure, eliminating the need for manual onboarding processes while managing complexity through automated protocols.
Solution Approach 2:
The system performs preliminary actions by pre-establishing device information records and relationship structures before actual device interactions occur. The supervisor device proactively creates organizational frameworks, relationship rules, and access control structures in advance, enabling seamless automatic device integration without ad-hoc complexity management.
2Measurement precision
If manual configuration of device relationships is required, then relationship precision is improved, but operation complexity increases
Solution Approach 1:
The supervisor device continuously monitors device interactions and relationship data, using feedback loops to automatically refine and adjust relationship configurations. The system observes actual device usage patterns and relationship dynamics, then automatically updates relationship records and access controls to maintain precision without requiring manual intervention or complex user operations.
3Adaptability or versatility
If dynamic group creation based on usage patterns is implemented, then network adaptability is improved, but processing requirements increase
Solution Approach 1:
The system implements partial action by creating groups and relationships only when and where usage patterns indicate necessity, rather than pre-configuring all possible device combinations. The supervisor device processes relationship data selectively, focusing computational resources on actively interacting devices and emerging usage patterns, thereby achieving adaptability without excessive processing overhead.
Data Source
AI summary
The disclosure generally relates to various methods to discover, configure, and leverage relationships in Internet of Things (IoT) networks. More particularly, the methods disclosed herein may support automated processes to create configurable sub-divisions and access controls in an IoT network based on usage associated with objects that are registered in the IoT network and interactions among the registered objects. Furthermore, in one embodiment, relationships between IoT devices that belong to different users may be implicitly discovered and/or ranked based on meetings (e.g., interactions) between the IoT devices, and relationships between the different users may likewise be implicitly discovered and/or ranked. Moreover, locations and interactions associated with IoT devices may be tracked over time to further discover user-specific and potentially asymmetric relationships among the IoT devices and/or the users associated therewith (e.g., where one user considers another user a close friend and the other user considers the first user an acquaintance).