Group Context Sensing Network for Mobile Device Collaboration
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Solution Overview
Problem
Mobile devices often struggle to accurately model context due to inadequate hardware, resource constraints, or interference with context sensors, leading to inefficient use of resources and limited access to personalized services.
Innovation Solution
Implementing a system for group context sensing and inference, where devices with similar or correlated contexts collaborate to distribute context sensing tasks, process results, and enhance context data, allowing devices without certain sensors to benefit from others' data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a mobile device relies solely on its own context sensors for context data, then the device can maintain independence and simple device architecture, but the context modeling accuracy is insufficient due to inadequate sensors or interference
Solution Approach 1:
The patent combines context sensing capabilities across multiple mobile devices to form a collaborative context sensing network. Devices share sensor data and computational resources, merging their individual sensing capabilities to achieve accurate context modeling without requiring each device to have complete sensors independently.
Solution Approach 2:
The system enables mobile devices to perform multiple functions: acting as both context sensors and context consumers. Devices can contribute their sensor data to the group while also benefiting from aggregated context information, making the system universally applicable across devices with varying sensor configurations.
2Measurement precision
If a mobile device is equipped with comprehensive context sensors to ensure accurate context modeling, then measurement precision improves, but device cost and complexity increase
Solution Approach 1:
The patent merges sensor capabilities across multiple devices in a collaborative network. Instead of requiring each device to have all necessary sensors, the system combines data from devices with different sensor configurations to achieve complete and accurate context modeling collectively.
Solution Approach 2:
The system creates virtual copies of sensor data through data sharing and replication across the device group. A device lacking certain sensors can obtain sensor readings from other devices in the group, effectively copying the missing sensor data to achieve complete context information without physical sensor duplication.
3Loss of information
If context sensing tasks are performed by all devices in a group, then context data completeness improves, but energy consumption and resource usage increase
Solution Approach 1:
The patent implements partial participation in context sensing tasks based on device capabilities and current needs. Not all devices perform all sensing tasks continuously; instead, devices contribute according to their sensor availability and the group's contextual requirements, reducing overall energy consumption while maintaining data completeness.
Solution Approach 2:
The system enables devices to self-manage their participation in context sensing based on their resource status. Devices with sufficient energy and appropriate sensors automatically contribute data, while resource-constrained devices reduce their sensing activity, allowing the system to self-regulate energy consumption across the device group.
Data Source
AI summary
An approach is provided for providing group context sensing and inference. The group context platform determines at least one group of one or more devices that have one or more group contexts that are at least substantially similar, at least substantially correlated, or a combination thereof. Next, the group context platform causes, at least in part, a distribution of one or more context sensing tasks among the one or more devices of the at least one group. Then, the group context platform processes and/or facilitates a processing of one or more results of the one or more context sensing tasks to (a) modify the one or more group contexts; (b) enhance the one or more group contexts; (c) determine one or more other group contexts; or (d) a combination thereof.