Parallel Wireless Communication for Robust Real-Time Data Delivery
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Solution Overview
Problem
Wireless real-time applications in industrial and medical settings face challenges with robustness and reliability due to adverse wireless channel conditions and diverse transmission speeds of heterogeneous devices, which hinder effective packet delivery within deadlines.
Innovation Solution
A lightweight open architecture that deploys redundant heterogeneous wireless devices in parallel, allowing for robust and reliable real-time communication by prioritizing data packets and utilizing devices with varying data rates to ensure timely delivery, even under adverse conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If heterogeneous wireless devices with different transmission speeds are used, then device versatility and adaptability are improved, but synchronization difficulty and reliability worsen
Solution Approach 1:
The system segments the transmission task by dividing data packets into multiple copies and distributing them across different heterogeneous wireless devices. Each device transmits independently without requiring synchronization, eliminating the reliability issue while maintaining device versatility. The receiver can reconstruct the original data from any single transmitted copy.
Solution Approach 2:
The system changes the transmission parameter from synchronized single-copy transmission to asynchronous multi-copy transmission. By transmitting multiple packet copies through different devices with different data rates simultaneously, the system adapts to varying channel conditions and device capabilities without requiring complex synchronization mechanisms.
2Reliability
If redundant wireless devices are deployed in parallel, then robustness and reliability are improved, but device complexity increases
Solution Approach 1:
The system uses segmentation to divide the transmission function across multiple redundant devices, where each device independently transmits packet copies without complex coordination. This simple division of labor achieves robustness through redundancy while keeping individual device complexity low.
Solution Approach 2:
The system creates multiple copies of data packets and transmits them through different redundant wireless devices. This copying approach provides robustness against packet loss and channel failures without requiring complex error correction or retransmission protocols, thereby maintaining system simplicity.
3Productivity
If data packets are sent to different subsets of transmitter devices based on priority, then productivity and real-time performance are improved, but device complexity increases
Solution Approach 1:
The system applies local quality by assigning different transmission priorities to different data packets based on their importance. High-priority packets are transmitted through all available devices, while lower-priority packets use fewer devices. This localized differentiation optimizes real-time performance for critical data without unnecessarily complicating the transmission of non-critical data.
Data Source
AI summary
A data communication method includes providing a sender node having a data packet of information. The data packet is sent to each of a plurality of heterogeneous transmitter devices. The data packet is wirelessly transmitted from each of the transmitter devices to a receiver node.