Gateway Data Valuation for IoT Sensor Networks

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Solution Overview

Problem

In IoT sensor networks, there is a lack of effective data valuation and management, leading to under-distribution of valuable data, over-distribution of low-value data, improper transformation, insecure sensors, and inability to associate value with sensors, resulting in inefficient business operations and increased risk.

Innovation Solution

Implementing data valuation algorithms at gateways to calculate the value of sensor data, cascading this value back to sensors, and enabling data monetization through cryptocurrency and smart contracts, allowing for secure transformation and proper maintenance based on data value.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If data is continuously streamed from sensors without valuation, then data availability is maintained, but data management efficiency deteriorates due to over-distribution of low-value data and under-distribution of valuable data

Engineering Contradiction:

Improvedata management efficiencyVSAvoiddata distribution

Core Design Contradiction:

ProductivityVSQuantity of substance

Solution Approach 1:

The system performs preliminary valuation of sensor data at the gateway before distribution occurs. Data valuation algorithms assess the value of each data element in advance, enabling the gateway to make informed decisions about which data to distribute and to whom, thereby improving data management efficiency and preventing both over-distribution of low-value data and under-distribution of valuable data

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system implements feedback mechanisms where valuation results are cascaded back to sensors and gateways. This feedback loop enables continuous optimization of data distribution based on real-time value assessment, allowing the system to adapt data flow dynamically and improve overall data management efficiency

Inventive Principle:

Principle #23Feedback

2Productivity

If data valuation algorithms are implemented at gateways, then data management optimization is achieved, but device complexity increases

Engineering Contradiction:

Improvedata management efficiencyVSAvoidgateway complexity

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

The system segments the data valuation function by implementing it at the gateway level rather than requiring complex centralized processing. This segmentation allows simpler, distributed valuation algorithms to be executed locally at each gateway, reducing the complexity burden on individual devices while still achieving optimized data management through coordinated action across multiple gateways

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The gateway acts as an intermediary between sensors and the rest of the system, performing valuation functions locally before data is transmitted upstream. This intermediary role allows the gateway to simplify complex data management tasks through local processing, reducing the complexity requirements for end-to-end system optimization

Inventive Principle:

Principle #24Intermediary (Mediator)

3Productivity

If data is distributed without value association, then data flow is maintained, but business efficiency deteriorates due to inability to prioritize valuable data

Engineering Contradiction:

Improvebusiness efficiencyVSAvoiddata value information

Core Design Contradiction:

ProductivityVSLoss of information

Solution Approach 1:

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system assigns different identifiers or markers to data elements based on their evaluated value, effectively 'coloring' the data stream. This allows the gateway to distinguish between high-value and low-value data elements, enabling selective distribution that prioritizes valuable data and improves business efficiency

Inventive Principle:

Principle #32Color changes

Data Source

PatentUS11468451B2Leveraging sensor data valuation

Publication Date: 2022.10.11 EMC IP HLDG CO LLC

AI summary

Data valuation leveraging techniques in a sensor data environment are provided. For example, a method obtains, at a gateway, at least one value computed by at least one data valuation algorithm for at least one sensor data element generated by at least one sensor associated with a set of one or more sensors operatively coupled to the gateway. The method then leverages, by the gateway, the at least one value computed for the at least one sensor data element.