Closed IoT Device Groups for Secure Low-Latency Task Coordination
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing IoT devices rely on backend servers for processing, leading to latency, data security concerns, and increased network bandwidth demand, especially in environments with varying internet connectivity.
Innovation Solution
Forming closed groups of trusted IoT devices using machine learning models to enable direct communication and task coordination over cellular networks, minimizing latency and data transmission through local processing and secure communication channels.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If IoT devices communicate through backend servers and cloud computing solutions, then task coordination and device control can be achieved, but latency increases and data security concerns arise
Solution Approach 1:
The patent segments the communication architecture by creating closed groups of IoT devices that operate independently without requiring backend server intervention. Devices within a closed group can directly coordinate and execute tasks locally, eliminating the single point of latency introduced by cloud-based processing while maintaining security through group isolation boundaries.
Solution Approach 2:
The patent introduces a mesh network as an intermediary communication layer between IoT devices and the external world. This mesh network enables direct device-to-device communication within closed groups, serving as a secure mediator that eliminates the need for data to traverse public cloud infrastructure, thereby reducing latency and improving security.
2Productivity
If IoT devices rely on consistent internet connection and backend servers, then remote processing and cloud computing can be utilized, but network bandwidth demand increases and operational reliability decreases
Solution Approach 1:
The patent implements self-service by enabling closed groups of IoT devices to autonomously execute tasks without requiring external server assistance. Devices within a closed group can independently coordinate, process data locally, and complete tasks using only their collective capabilities, eliminating dependency on external internet connectivity and backend servers.
Solution Approach 2:
The patent merges multiple IoT devices into closed groups that function as unified autonomous units. By combining the computational and communication capabilities of devices within a group, the system achieves sufficient processing power for task execution without requiring external cloud resources, thereby improving both productivity and operational reliability.
3Adaptability or versatility
If all IoT devices are connected to the same network, then device discoverability and communication capability increase, but network security and data privacy concerns worsen
Solution Approach 1:
The patent segments the network into isolated closed groups where devices can communicate freely within their group but remain isolated from other groups. This segmentation maintains high communication capability within each group while preventing security risks from propagating across the entire network, as each group operates as an independent secure boundary.
Data Source
AI summary
Techniques for using a closed group of cellular devices to perform a task are described. An example method includes receiving a request from a device within a cellular network, wherein the request indicates a recommendation for other devices within the cellular network that are available to form a closed group of devices capable of performing the task; determining, by the one or more processors, the other devices that are available within the cellular network and that at least in combination with the device are able to perform the task; wherein the determining includes use of one or more machine learning (ML) models; generating, by the one or more processors, a response that identifies the other devices that, at least in combination with the device, are available to participate with the device to perform the task; and sending, by the one or more processors, the response to the device.


