M2M Node Clustering for Energy-Efficient Data Transmission
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Solution Overview
Problem
As the number of nodes in a Machine to Machine (M2M) network increases, complexity in node interactions and communication with backend systems leads to inefficient power usage and communication patterns, particularly in nodes powered by limited energy sources.
Innovation Solution
The organization of nodes into clusters with designated hub nodes for data aggregation and varying update intervals on a per-cluster basis, allowing for energy-efficient data transmission and prioritization of network traffic.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If nodes continuously transmit data to backend systems, then data freshness is improved, but power consumption increases
Solution Approach 1:
The patent implements periodic transmission by configuring update intervals for different clusters of nodes. Instead of continuous transmission, nodes transmit data at scheduled intervals determined by their cluster configuration, reducing power consumption while maintaining acceptable data freshness through periodic updates
2Device complexity
If all nodes transmit data at the same interval, then system simplicity is improved, but communication efficiency deteriorates
Solution Approach 1:
The patent segments nodes into different clusters, where each cluster can have its own update interval configuration. This segmentation allows different communication patterns for different node groups, improving communication efficiency by prioritizing critical nodes while maintaining system manageability through structured organization
Solution Approach 2:
The patent applies local quality by allowing different update intervals for different clusters based on their specific requirements. Critical clusters with important sensors can have shorter intervals for faster data freshness, while non-critical clusters use longer intervals, optimizing overall communication efficiency without requiring complex individual node configurations
3Use of energy by moving object
If nodes are organized into clusters with hub nodes, then energy efficiency is improved, but device complexity increases
Solution Approach 1:
The patent merges multiple sensor nodes into clusters with designated hub nodes that aggregate and forward data. This combining approach reduces the total number of individual transmissions to the backend system, significantly improving energy efficiency by consolidating communication through fewer hub nodes while the clustering structure provides clear organizational benefits
Data Source
AI summary
Techniques described herein may provide for the organization and the control of nodes in an Machine to Machine (M2M) domain that is energy efficient and may provide for prioritized control of network traffic. Data may be received from of clusters of nodes in a M2M network, each of the clusters including one or more nodes to generate the data and a hub node to receive, from the one or more nodes, the generated data. The hub node may transmit the generated data. An update interval for the one or more nodes in each of the clusters may be set on a per-cluster basis and the update interval may define a period at which the one or more nodes in a particular cluster transmit data towards a corresponding hub node of the particular cluster. Additionally, an update interval for the hub node may be set, the update interval for the hub node being set on a per-cluster basis and defining a period at which the hub node transmits data.