IoT Software Update Gateway Differential Data Reconstruction
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Solution Overview
Problem
The increasing number of IoT devices necessitates efficient software updates while minimizing data traffic in networks, as existing methods consume significant network capacity and resources.
Innovation Solution
A software update gateway that connects IoT devices to a software update server, utilizing differential update data to generate full update data, reducing public network traffic by transmitting only necessary data and managing software metadata for version control and rollback capabilities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If full update data is transmitted to each IoT device for software updates, then the update process is simple and reliable, but the data traffic in the network increases significantly
Solution Approach 1:
The patent segments the update data transmission process into two parts: (1) transmitting only differential update data (the changes) from the server to the gateway, and (2) the gateway reconstructing the full update data locally by combining the differential data with the existing full update data stored in its database. This segmentation reduces network traffic while maintaining update reliability through the gateway's local data reconstruction capability.
Solution Approach 2:
The gateway pre-stores full update data in its database before actual update requests occur. When an update is needed, the gateway combines this pre-stored full data with newly received differential data to reconstruct complete update packages locally, eliminating the need to transmit large full update data sets over the network during update operations.
2Quantity of substance
If differential update data is used to reduce network traffic, then data transmission is minimized, but the gateway must perform additional processing to generate full update data
Solution Approach 1:
The gateway acts as an intermediary between the update server and IoT devices. It receives differential update data from the server, combines it with pre-stored full update data from its database, and reconstructs complete update packages locally. This intermediary role simplifies the overall system by centralizing the complex reconstruction logic in the gateway rather than requiring complex processing in each IoT device.
Solution Approach 2:
The gateway creates copies of full update data by combining the received differential data with the existing full update data stored in its database. This copying approach allows the gateway to generate complete update packages for multiple devices without repeatedly transmitting the same full data sets over the network.
3Quantity of substance
If the gateway stores full update data in its database, then update data can be reconstructed locally, but the gateway requires more storage capacity
Solution Approach 1:
The system changes the storage parameter from storing complete full update data sets for every possible device to storing only the essential full update data in the gateway's database, while keeping differential update data in the server's database. This parameter change optimizes storage distribution across the system.
Solution Approach 2:
The gateway stores partial update data (full update data for specific devices) rather than complete update data for all devices. This partial storage approach, combined with differential data reception and local reconstruction, reduces the gateway's storage requirements while maintaining the ability to generate complete updates when needed.
4Measurement precision
If software metadata is verified for version compatibility, then update accuracy is improved, but the update process becomes more complex
Solution Approach 1:
The system implements feedback through software metadata verification. The gateway checks version information, device identifiers, and compatibility data in the software metadata before reconstructing and transmitting update data. This feedback mechanism ensures that only compatible updates are applied, improving accuracy while keeping the process manageable through automated verification.
Data Source
AI summary
A software update gateway for updating a software of an IoT (Internet of Things) device. The gateway includes a transceiver configured to connect to a software update server through a public network, connect to at least one first IoT device through the public network, and connect to at least one second IoT device through a local network of the at least one second IoT device; a software database configured to store a first version of a full update data for a software of the at least one first IoT device; and a processor configured to control the transceiver to receive a software update request from the at least one first IoT device via the public network, control the transceiver to transfer the software update request to the software update server via the public network, control the transceiver to receive differential update data for the software of the at least one first IoT device from the software update server via the public network, generate a second version of the full update data for the software of the at least one first IoT device based on the first version and the differential update data, and control the transceiver to transmit the generated second version of the full update data of the at least one first IoT device to the at least one first IoT device via the public network based on a collected operational status of the software update gateway.