Adaptive Collapsible Data Packing for Constrained IoT Transmission
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Solution Overview
Problem
Existing wireless communication protocols, such as LoRaWAN and Sigfox, impose stringent packet size constraints that limit data transmission to small data packets, posing challenges for IoT applications, particularly in environments like LoRaWAN and Sigfox networks, where twelve bytes of data per message is insufficient for efficient data transfer.
Innovation Solution
Implementing collapsible-adaptive data packing systems that prioritize and adaptively collapse data within small data packets based on priority and utility, using a hierarchy management engine to determine which data fields are included or omitted, ensuring efficient data transmission within the constraints of minimal-sized data packets.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If data is transmitted using small data packets to conserve power and conform to bandwidth constraints, then power consumption is reduced and bandwidth usage is optimized, but the amount of data that can be transmitted is severely limited
Solution Approach 1:
The patent segments data into multiple priority levels (first priority, second priority, third priority) and transmits them in hierarchical order within constrained packet sizes. This allows the system to transmit critical data first while potentially including lower-priority data if space permits, thereby maximizing data transmission efficiency under power and bandwidth constraints without compromising essential information delivery
Solution Approach 2:
The patent implements dynamic packet construction where the inclusion of data fields is determined adaptively based on available packet space and priority rankings. The system dynamically adjusts which data fields are included in each transmission based on real-time conditions, allowing flexible optimization of data transmission volume within the constraints of small packet sizes
2Adaptability or versatility
If packet size is reduced to conform to wireless communication constraints, then bandwidth constraints are satisfied and more devices can share gateway connections, but data transmission efficiency decreases
Solution Approach 1:
The patent divides data into priority-based segments that are transmitted in hierarchical order. This segmentation allows the system to fully utilize available packet space by filling it with appropriate priority-level data, thereby maintaining high transmission efficiency even when packet sizes are reduced to accommodate multiple devices on shared gateway connections
Solution Approach 2:
The patent changes the parameter of data field inclusion from static to dynamic based on priority rankings and available space. By adjusting which data fields are included based on their priority status and the remaining packet capacity, the system optimizes data transmission efficiency within the constrained packet size framework required for multi-device connectivity
3Use of energy by moving object
If only essential data fields are transmitted in small packets, then power consumption is minimized and packet size constraints are satisfied, but data completeness and utility are reduced
Solution Approach 1:
The patent segments data into three priority levels, ensuring that first-priority data is always transmitted while second and third priority data are conditionally included based on available packet space. This segmentation strategy minimizes power consumption by transmitting only essential data when necessary, while preserving data completeness by including additional lower-priority data when packet capacity allows
Solution Approach 2:
The patent applies partial action by transmitting only the necessary amount of data based on packet space availability and priority rankings. When packet space is limited, it transmits only high-priority data; when space permits, it includes additional lower-priority data. This approach optimizes the balance between power consumption and data completeness without consistently transmitting excessive data
Data Source
AI summary
Systems and methods are described for electronically transmitting adaptively collapsible data across a network, whereby a baseline hierarchy of relationships based on precedence is generated for a set of data fields for data generated at an electrical system, and selecting one or more data fields for inclusion in a transmission package based on the hierarchy of relationships and a configurable condition, the configurable condition serving to potentially collapse (or deprecate) a data field, setting a status subfield to indicate inclusion or exclusion of the data field in a payload region of the transmission package and, when a particular data field is to be omitted, including only the status subfield for that data field and omitting the data corresponding to the data field.


