Ad-hoc Tracker Network Using WLAN Discovery Windows
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Solution Overview
Problem
Existing wireless communication technologies face challenges in efficiently discovering and maintaining network clusters for location tracking, especially in scenarios where devices lack cellular coverage and have stringent battery life targets.
Innovation Solution
The proposed solution involves using WLAN signaling to form and maintain ad-hoc network clusters, allowing devices to collaborate and ensure data connectivity. This includes optimizing parameters such as the interval between discovery windows and synchronization beacon patterns to balance power consumption and performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If devices use conventional WLAN discovery and cluster maintenance methods, then location tracking can be performed, but power consumption is excessive and battery life is insufficient
Solution Approach 1:
The patent applies parameter changes by optimizing discovery window intervals and synchronization beacon transmission parameters. Specifically, devices select appropriate discovery window intervals from standardized values (e.g., 8192 ms, 16384 ms, 32768 ms) and adjust synchronization beacon transmission power and timing based on cluster size and tracking requirements, thereby reducing power consumption while maintaining positioning accuracy
Solution Approach 2:
The patent implements periodic action through structured discovery windows and synchronized beacon transmissions. Devices enter low-power states between discovery windows, waking up only periodically to perform location measurements and exchanges. This periodic operation pattern significantly reduces average power consumption compared to continuous operation, while still enabling accurate location tracking through regular measurements
2Reliability
If devices form ad-hoc network clusters for location tracking, then collaboration and data connectivity are enabled, but device complexity and coordination overhead increase
Solution Approach 1:
The patent applies self-service through autonomous cluster formation and maintenance where each device independently selects discovery parameters, performs measurements, and participates in location calculations without centralized control. Devices automatically adjust their behavior based on local conditions and cluster state, reducing coordination overhead while maintaining reliable data connectivity through distributed collaboration
Solution Approach 2:
The patent implements segmentation by dividing the location tracking function into discrete discovery windows and measurement phases. Each device independently performs specific tasks during designated time intervals (discovery, measurement, exchange), reducing coordination complexity. The segmentation of time and function allows devices to operate autonomously while maintaining cluster-wide connectivity and reliability
Data Source
AI summary
This disclosure provides methods, components, devices and systems that may help enhance various applications that utilize ad-hoc network clusters, such as position/location tracking.