Smart Device Naming via Proximity Detection and Signal Triangulation
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Solution Overview
Problem
Naming and categorizing smart devices in a smart home can be burdensome as the number of devices increases, requiring users to manually assign names to each device, which becomes impractical.
Innovation Solution
A computer-implemented method that detects nearby smart devices, determines their location within the environment, and generates a name based on the detected devices, allowing for automatic naming of new devices by inferring their location from nearby devices, such as 'Lightbulb/Kitchen' or 'Amazon Dot/Living Room', using signal strength and triangulation to determine proximity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If users manually name each smart device, then device identification accuracy is improved, but user burden and time consumption increase significantly
Solution Approach 1:
The system enables devices to automatically determine their own names by detecting nearby devices and inferring location information, eliminating the need for manual user input. The new device autonomously generates its identifier based on environmental context and nearby device names.
Solution Approach 2:
The system performs preliminary detection of nearby devices and inference of location information before the naming process. By pre-establishing the spatial context and device environment, the system prepares all necessary information in advance to enable automatic naming without user intervention.
2Adaptability or versatility
If the number of smart devices increases, then smart home functionality is improved, but manual naming becomes impractical
Solution Approach 1:
Each new device automatically determines its own name by detecting the environment and nearby devices, making the system self-configuring. This eliminates the need for users to manually name each device as the system scales, maintaining ease of operation regardless of device quantity.
Solution Approach 2:
The naming system is dynamic and adaptive, automatically adjusting to new devices as they are added to the environment. The system continuously monitors device additions and performs automatic naming operations, making the scaling process seamless and maintaining operational simplicity.
3Ease of operation
If automatic naming is implemented, then user interaction is reduced, but naming accuracy may deteriorate
Solution Approach 1:
The system uses feedback from nearby device detections and signal strength measurements to continuously refine location inference. By incorporating environmental feedback and comparing detected devices against known device databases, the system maintains high naming accuracy through iterative validation.
Solution Approach 2:
The system replaces manual mechanical naming operations with automated electronic detection and inference mechanisms. Using wireless signal detection, triangulation algorithms, and device database matching, the system achieves accurate automatic naming without relying on user input.
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 method simplifies the process of naming new smart devices by automatically determining their location, reducing user interaction and manual configuration, allowing for dynamic naming as devices are moved and enabling easier integration of new devices into existing smart home systems.
Implementation Method 1
using signal strength and triangulation to determine proximity
Data Source
AI summary
A computer implemented method of naming a smart wireless device includes detecting a first other wireless device, determining that the first other wireless device is likely in a same area of an environment, obtaining a first name of the first other wireless device, and generating a name for the smart wireless device as function of the first name of the first other wireless device in response to the first other wireless device having been determined to be in the same area of the environment.