Motion Sensing Asset Tracking with Dynamic Location Updates
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Solution Overview
Problem
Current asset tracking systems fail to optimize battery lifetime and provide accurate location information for asset nodes in ubiquitous sensor networks.
Innovation Solution
The implementation of a motion sensing-based asset tracking system that includes a motion sensing manager, filtering processor, and location information update manager to filter motion sensing information, determine if motion occurs, and control location updates based on filtering parameters such as accuracy, battery lifetime, and zone area, thereby optimizing battery life and providing more accurate location information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If location information updates are performed frequently to ensure accurate location information, then measurement precision is improved, but use of energy by moving object increases and battery lifetime decreases
Solution Approach 1:
The patent implements dynamic adjustment of location update frequency based on motion detection. When motion is detected, the system increases update frequency to maintain accuracy; when no motion is detected, it reduces update frequency to conserve energy. This dynamic adaptation resolves the contradiction between maintaining accurate location information and preserving battery lifetime.
Solution Approach 2:
The system changes the parameter of update interval based on motion state. By filtering motion sensing information and comparing it against thresholds, the system adjusts the location update parameter dynamically - using shorter intervals during motion and longer intervals during stationary periods, thereby balancing accuracy requirements with energy consumption constraints.
2Productivity
If location information updates are performed frequently to track asset movement, then productivity is improved, but loss of energy increases and battery lifetime decreases
Solution Approach 1:
The patent implements periodic motion sensing checks at filtered intervals to determine whether location updates are necessary. Rather than continuously updating location information, the system periodically samples motion data, filters it according to configured parameters, and only triggers location updates when motion exceeds thresholds. This periodic action maintains tracking productivity while significantly reducing energy loss compared to continuous updates.
Solution Approach 2:
The system uses the asset's own motion characteristics to control its update behavior. By leveraging motion sensing data generated by the asset itself, the system automatically adjusts its operational mode - entering low-power states when stationary and activating high-accuracy tracking only when motion is detected. This self-service approach optimizes the balance between tracking productivity and energy conservation without external intervention.
3Loss of energy
If motion sensing filtering is applied to reduce unnecessary updates, then loss of energy is reduced and battery lifetime is extended, but measurement precision may be compromised
Solution Approach 1:
The patent applies preliminary filtering to motion sensing data before triggering location updates. By pre-processing motion signals through configurable filters and thresholds, the system eliminates noise and false positives that would otherwise cause unnecessary updates. This preliminary action ensures that only genuine motion events trigger location updates, maintaining measurement precision while reducing energy consumption from spurious updates.
Solution Approach 2:
The system implements feedback mechanisms where filtered motion detection results directly control subsequent update behavior. The filtering process provides feedback about actual motion states, which then feeds back into the decision-making process for location updates. This closed-loop feedback ensures that filtering does not compromise accuracy by maintaining sensitivity to genuine motion while suppressing noise, thereby extending battery life without sacrificing measurement precision.
Data Source
AI summary
Provided are an apparatus and method for asset tracking based on a ubiquitous sensor network (USN) using a motion sensing. The apparatus may include: a motion sensing manager to receive motion sensing information from a sensor; a filtering processor to filter the motion sensing information based on a filtering parameter and to determine whether a motion occurs based on the filtered motion sensing information; and a location information update (LU) manager to perform LU depending on whether the motion occurs.