IoT Device Location Mapping via Sensor Fusion
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
The proliferation of wirelessly connected devices, particularly IoT devices, poses challenges in configuring their physical locations within a network, leading to security issues such as wardriving, where devices outside physical boundaries can access sensitive data, and existing security measures like login credentials can be guessed or brute-forced.
Innovation Solution
Equipping devices with location detection sensors that use a combination of light sources, light direction sensors, laser rangefinders, and wireless interfaces to automatically determine device locations relative to others, enabling a sensor management system to map these locations within a physical space and deploy security measures against unauthorized access.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual configuration of device physical locations is performed, then location accuracy is improved, but device complexity and time consumption increase
Solution Approach 1:
The system enables devices to automatically determine their own physical locations through peer-to-peer sensor measurements. Each device acts as both a measurement tool and a measured object, eliminating the need for manual configuration while maintaining location accuracy through automated triangulation and coordinate transformation algorithms.
Solution Approach 2:
The system pre-establishes a coordinate system framework and sensor calibration data before actual location determination is needed. By preparing the measurement framework in advance and having devices continuously exchange sensor data, the system enables rapid location determination without manual intervention when devices are added to the network.
2Measurement precision
If manual configuration of device physical locations is performed, then location accuracy is improved, but ease of operation deteriorates
Solution Approach 1:
Devices automatically perform location determination through embedded sensors and peer-to-peer communication. The system handles coordinate system establishment, sensor data fusion, and location calculation without requiring administrator intervention, making the process as easy as simply adding a device to the network.
Solution Approach 2:
The location determination system is designed to work with any device type in the network, whether IoT devices, smartphones, or computers. The same sensor fusion algorithms and coordinate transformation methods apply universally across different device categories, eliminating the need for device-specific configuration procedures.
3Reliability
If location detection sensors are added to devices, then network security is improved, but device complexity increases
Solution Approach 1:
The system uses existing multi-functional components in modern devices (cameras, accelerometers, GPS, Wi-Fi) for location determination rather than adding dedicated sensors. These components serve both their original functions and location detection purposes, avoiding additional hardware complexity while enabling security applications.
Solution Approach 2:
The patent combines multiple existing sensor types and data sources into a unified location determination system. By fusing data from cameras, accelerometers, GPS, and wireless signal strength measurements, the system achieves accurate location determination without requiring any single complex sensor, distributing the functional load across multiple simpler components.
4Ease of operation
If automated location determination is implemented, then ease of operation is improved, but measurement precision may deteriorate
Solution Approach 1:
The system continuously exchanges sensor data and location information between devices, allowing for real-time verification and correction of location determinations. Each device's reported location is cross-checked against measurements from neighboring devices, and discrepancies are resolved through iterative calculation, ensuring high accuracy in automated operation.
Solution Approach 2:
The system transforms physical space measurements into a coordinate system framework, allowing location determination to occur in mathematical space rather than direct physical measurement. This dimensional transformation enables complex multi-sensor data fusion and error correction through coordinate geometry calculations, maintaining precision while enabling automation.
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
Automates the process of determining device locations, enhancing network security by preventing unauthorized access from outside physical boundaries and mitigating wardriving attempts through precise location-based security deployments.
Implementation Method 1
a laser rangefinder
Implementation Method 2
a light direction sensor
Data Source
AI summary
Determining the physical location of wirelessly connected devices within a network can provide a number of security benefits. However, manually determining and configuring the physical location of each device within a system can be burdensome. To ease this burden, devices within a network are equipped with a location detection sensor that is capable of automatically determining a device's location in relation to other devices within the network. A location detection sensor (“sensor”) may include a light source, a light direction sensor, a rangefinder, and a radio or wireless network interface. Two location detection sensors can perform a location detection process to determine their relative locations to each other, such as the distance between them. As more sensors are added to a network, a sensor management system uses the relative locations determined by the sensors to map the sensors to a physical space layout.