IoT Network Data Collection via Ring-Based Aggregation
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Solution Overview
Problem
Existing IoT network management schemes face challenges in efficient data collection and decision feedback due to high data collection times and unoptimized data transmission methods, particularly in systems with large amounts of data and complex actuator interactions.
Innovation Solution
A method for managing computer networks is proposed, involving a ring-based data collection configuration where nodes at the same depth level in a routing tree perform data collection in phases, with configuration data being received and aggregated from child nodes and transmitted to parent nodes, optimizing resource estimates and reducing latency through TDMA scheduling and interference management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If unicast transmission is used for data collection in existing IoT systems, then individual node data can be collected, but data collection time becomes high when large amounts of data need to be collected
Solution Approach 1:
The patent combines multiple unicast transmissions into a single multicast transmission by aggregating data from multiple child nodes at intermediate nodes. This allows simultaneous data collection from multiple nodes without requiring separate unicast transmissions for each node, thereby reducing overall data collection time while maintaining data accuracy.
Solution Approach 2:
The patent performs preliminary data aggregation at intermediate nodes before final transmission to the root node. Child nodes transmit their data to intermediate nodes in advance, which then aggregate and forward the combined data. This preliminary action reduces the total transmission time required at higher network levels.
2Loss of information
If data collection is performed for all nodes in the network, then complete data is obtained, but signaling overhead increases
Solution Approach 1:
The patent segments the data collection process into phases based on depth levels in the routing tree. Instead of collecting data from all nodes simultaneously, it processes nodes in groups at different depth levels, reducing the signaling overhead at any given time while ensuring complete data collection across the entire network.
Solution Approach 2:
The patent performs partial data collection at each depth level phase, collecting data from only the nodes at that specific depth level during each phase. This partial action approach reduces signaling overhead compared to collecting from all nodes simultaneously, while multiple phases ensure complete data collection eventually.
3Reliability
If TDMA scheduling is implemented to reduce interference, then data transmission reliability improves, but system complexity increases
Solution Approach 1:
The patent applies TDMA scheduling locally at each intermediate node rather than implementing a global scheduling system. Each node independently manages transmission time slots for its child nodes, reducing the overall system complexity while maintaining reliable data transmission through localized time-division multiplexing.
Data Source
AI summary
A method for method for managing a computer network is proposed, which comprises: performing data collection configuration for at least one network node of the computer network belonging to a set of one or more network nodes corresponding to a first depth level of a routing tree, the data collection configuration comprising: receiving respective first configuration data from at least one child node in the routing tree of the at least one network node of the computer network, wherein the at least child node corresponds to a second depth level of the routing tree which immediately follows the first depth level in a sequence of depth levels of the routing tree, and generating second configuration data based on the received first configuration data.