Hub Device Data Sharing for Mobile Resource Conservation
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Solution Overview
Problem
Mobile devices face limitations in battery life and data usage due to continuous data transmission and reception, which can drain resources and hinder user experience for services relying on location and other user data.
Innovation Solution
A system and method that identifies a trusted group of devices to collaborate and minimize resource consumption by selecting a hub device for data upload and download, using low-energy communication methods like Bluetooth Low Energy to share relevant data efficiently among member devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If each device continuously transmits and receives data independently, then each device has access to required information, but battery life and data usage are depleted rapidly
Solution Approach 1:
The patent introduces a hub device as an intermediary that centralizes data access. Member devices communicate through the hub rather than directly with each other or the network, reducing the number of active connections each device must maintain. The hub manages data retrieval and distribution, allowing member devices to remain in low-power states while still accessing required information when needed.
2Reliability
If each device maintains continuous network connections for data access, then services can function reliably, but data usage and bandwidth consumption increase
Solution Approach 1:
The patent merges network connection functions into a single hub device that represents the entire group to external networks and data sources. Instead of each member device maintaining separate network connections, the hub consolidates these connections, allowing the group to share a single data allowance and bandwidth allocation. This significantly reduces total data usage while maintaining service availability for all members.
3Speed
If multiple devices access data sources simultaneously, then each device gets real-time information, but overall bandwidth and resource consumption at the source increases
Solution Approach 1:
The hub device acts as an intermediary that single-point accesses data sources on behalf of all member devices. This eliminates redundant simultaneous connections to the same data sources, reducing bandwidth consumption and resource usage at the source. The hub can cache and distribute data efficiently to members, maintaining fast access speeds without the overhead of multiple concurrent connections.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach conserves data usage, bandwidth, and battery life for both member devices and the source, allowing for more efficient and sustainable data sharing while maintaining user experience without constant resource exhaustion.
Implementation Method 1
using low-energy communication methods like Bluetooth Low Energy to share relevant data efficiently among member devices
Data Source
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AI summary
Aspects of the technology described herein identify a trusted group of devices that collaborate to minimize device limitations (e.g., data use, bandwidth, battery life, and the like). Personal assistant services or cloud-based services utilize user data (e.g., web browsing, calendar entries, communication data, social networks, and the like) and device data (e.g., location data, Bluetooth beacons, Wi-Fi, and the like) provided by user devices to identify devices in the trusted group of devices. A handshake between the devices establishes a means of communication and a selected topology. A hub device is selected from the trusted group of devices to upload or download relevant data based on the selected topology. The hub device shares the relevant data with the member devices via the established means of communication.