Wireless Sensing Data Fusion Through Candidate Mode Selection
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Solution Overview
Problem
Existing wireless sensing technologies face challenges in effectively coordinating between wireless networks and wireless sensing systems, leading to uncertainties in sensing data when used individually.
Innovation Solution
A method and apparatus for determining a candidate mode of processing sensing data from multiple sources, utilizing predetermined sensing data processing modes to enhance data fusion and coordination between network elements, terminals, and application servers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If wireless sensing technologies are used individually to acquire information about remote objects, then sensing data can be obtained from each source, but the sensing results have high uncertainty and low reliability
Solution Approach 1:
The patent combines sensing data from multiple wireless sensing technologies (first sensing data from first sensing technology, second sensing data from second sensing technology) to generate fused sensing data. This merging approach allows the system to overcome the high uncertainty and low reliability of individual sensing sources by aggregating information from multiple sources, thereby improving overall sensing reliability and reducing information loss.
2Productivity
If multiple wireless sensing technologies are coordinated with wireless networks, then sensing data processing efficiency is improved, but the system complexity and coordination requirements increase
Solution Approach 1:
The patent introduces a network element as an intermediary that receives sensing service requests from terminals, determines candidate processing modes, and coordinates with network resources. This intermediary approach simplifies the overall system architecture by centralizing the coordination function, making it easier to manage the complexity of integrating multiple wireless sensing technologies with wireless networks while maintaining high processing efficiency.
3Productivity
If sensing data from multiple sources is processed using predetermined modes, then processing standardized and efficient, but flexibility to handle diverse sensing scenarios is reduced
Solution Approach 1:
The patent implements a dynamic processing mode selection mechanism where the network element determines a candidate processing mode based on real-time conditions such as terminal capabilities, network status, and sensing requirements. This dynamic approach allows the system to adapt to diverse sensing scenarios by selecting appropriate predetermined modes (e.g., terminal-based processing, network-based processing, or cloud-based processing) while maintaining standardized efficient processing procedures.
Data Source
AI summary
A method, apparatus and computer readable medium for processing a sensing service, performed by a first network element. The processing is performed by: determining a candidate mode for processing sensing data from at least one source; where the candidate mode is determined from at least one predetermined sensing data processing mode.