IoT Transceiver Data Transmission Control
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Solution Overview
Problem
In IoT environments, existing data transmission methods are inefficient due to the lack of effective control mechanisms for determining when additional data segments are needed and optimizing data transmission based on data loss and round-trip times between transceivers.
Innovation Solution
A method and apparatus for transmitting and receiving data between transceivers, where control signals are used to determine if source data is obtained, and additional data segments are transmitted based on these signals, with the timing of parity data transmission adjusted according to data round-trip times and predicted data loss sections.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If additional data segments are transmitted without control signals, then data transmission completeness is improved, but resource usage increases
Solution Approach 1:
The receiving transceiver sends control signals (ACK/NACK) to the transmitting transceiver to provide feedback about whether source data was successfully obtained. This feedback mechanism allows the transmitting transceiver to make informed decisions about whether to transmit additional data segments, avoiding unnecessary transmissions and optimizing resource usage while ensuring data completeness.
Solution Approach 2:
The data transmission process is made dynamic by adjusting the transmission of additional data segments based on real-time feedback from control signals. The transmitting transceiver dynamically determines whether to continue transmitting data segments or stop transmission based on the received control signals, optimizing the balance between data completeness and resource consumption.
2Loss of energy
If control signals are used to determine data transmission needs, then resource usage is reduced, but system complexity increases
Solution Approach 1:
The system uses standardized control signals (ACK for successful data receipt, NACK for unsuccessful receipt) to provide feedback between transceivers. This feedback mechanism enables resource optimization through a relatively simple and standardized approach, minimizing the increase in system complexity while achieving significant resource savings.
Solution Approach 2:
The system changes the state parameter of data transmission by using discrete control signal states (ACK/NACK) to indicate whether source data was obtained. This parameter-based control approach simplifies the decision-making process for transmitting additional data segments, reducing system complexity compared to more elaborate control mechanisms.
3Reliability
If parity data is transmitted immediately after source data, then data restoration capability is improved, but transmission delay increases
Solution Approach 1:
The transmission timing of parity data is made dynamic based on feedback from control signals. Instead of transmitting parity data at a fixed time interval, the system adjusts the transmission timing based on whether the receiving transceiver successfully obtained the source data, optimizing the balance between data restoration capability and transmission delay.
Solution Approach 2:
The transmitting transceiver determines in advance whether to transmit parity data based on received control signals. By making this determination before actually transmitting the parity data, the system avoids unnecessary transmissions and reduces overall transmission delay while maintaining the necessary data restoration capability.
Data Source
AI summary
Provided is a technology related to a sensor network, machine to machine (M2M), machine type communication (MTC), and the Internet of things (IoT). Transmitting data between transceivers including transmitting data segments of source data and parity data segments including restoration information for a transceiver to restore the source data. The method is applicable to intelligent services based on the technology (e.g., smart home services, smart building services, smart city services, smart or connected car services, health care services, digital education services, retail business services, security and safety-related services, etc.).