Collaborative Wireless Tracking System for Indoor Asset Localization
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Solution Overview
Problem
Existing tracking systems for indoor environments face challenges such as poor accuracy, high power requirements, and communication bottlenecks due to reliance on sensor-to-anchor communication, which becomes inefficient with a large number of assets and is prone to noise and interference, requiring extensive infrastructure and maintenance.
Innovation Solution
A collaborative wireless tracking system using a network approach where sensors communicate directly with each other and a minimal number of anchors, employing low-power, short-range communication and a distributed localization algorithm to calculate accurate positions without the need for extensive infrastructure or centralized data collection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If sensor-to-anchor communication is used for tracking, then location estimation can be performed, but communication bottlenecks and network congestion occur when tracking a large number of assets
Solution Approach 1:
The patent segments the tracking system into multiple distributed localization servers instead of using a single centralized server. Each server handles a subset of sensors and anchors, distributing the computational load and communication traffic. This segmentation resolves the contradiction by maintaining location estimation accuracy through distributed computation while improving tracking efficiency by eliminating the single-point bottleneck.
Solution Approach 2:
The patent introduces a new dimensional approach by enabling sensor-to-sensor communication in addition to sensor-to-anchor communication. This creates a multi-dimensional communication topology where sensors can triangulate positions through peer-to-peer interactions, reducing dependency on anchors and distributing communication load across multiple pathways, thereby resolving the bottleneck issue.
2Measurement precision
If a large number of anchors are deployed to improve tracking accuracy, then location estimation precision increases, but system complexity and infrastructure requirements increase
Solution Approach 1:
The patent enables sensors to perform self-localization by communicating with neighboring sensors and using distributed triangulation algorithms. Instead of relying on a dense infrastructure of anchors, each sensor autonomously determines its position through peer-to-peer communication and mathematical computation, reducing infrastructure complexity while maintaining accuracy.
Solution Approach 2:
The patent makes sensors multi-functional by enabling them to serve both as tracked objects and as localization references for other sensors. This universality eliminates the need for dedicated anchor infrastructure, as any sensor can contribute to the localization of others, thereby reducing system complexity while preserving measurement precision.
3Loss of information
If centralized data collection is used to process tracking information, then comprehensive location data can be gathered, but computational overhead and processing time increase
Solution Approach 1:
The patent segments the centralized data collection into distributed data processing across multiple localization servers. Each server processes a subset of sensor data locally, maintaining data completeness through distributed aggregation while significantly reducing processing time by eliminating the single-point computational bottleneck of centralized systems.
Solution Approach 2:
The patent introduces distributed localization servers as intermediary nodes between sensors and the central system. These intermediaries perform local data processing and filtering, reducing the volume of data that needs to be transmitted and processed centrally, thereby maintaining data completeness while reducing processing time and computational overhead.
4Reliability
If high power is used for sensor-to-anchor communication to extend range, then communication reliability improves, but power consumption increases
Solution Approach 1:
The patent merges sensor-to-anchor communication with sensor-to-sensor communication into a hybrid localization approach. Sensors can exchange information with nearby peers using low power, and only occasionally communicate with anchors for reference updates. This combination maintains communication reliability through multiple pathways while significantly reducing average power consumption compared to continuous high-power anchor communication.
Solution Approach 2:
The patent implements periodic anchor communication instead of continuous high-power transmission. Sensors perform low-power peer-to-peer communication continuously and only engage in higher-power anchor communication at intervals for reference updates. This periodic action maintains localization reliability while dramatically reducing average power consumption.
Data Source
AI summary
A system and method for locating, tracking, and monitoring resource in large-scale facilities is disclosed herein. The system is based on a sensor network and is efficient, scalable, and requires only short-range communication. The system allows for sensor-to-sensor communication as well as the traditional sensor-to-anchor communication to effectively eliminate long-range communications. In order to perform resource localization and tracking, the present invention pairs each resource with an inexpensive, low-powered sensor possessing minimal resources or anchors and those resources communicate with their nearby resources or anchors until a wireless, linked network of resources and anchors is formed.