IoT Data Management Policies for Sensor Control

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Solution Overview

Problem

Existing IoT management frameworks face challenges in effectively managing sensor data, including limited capacity and cost constraints in on-premise data centers, inadequate data protection in cloud storage, and the complexity of managing diverse edge devices, leading to potential system degradation and service loss.

Innovation Solution

Implementing holistic data management policies across IoT components that specify data transmission, retention, retirement, and processing policies, using data policy operators to adjust, aggregate, or apply learning algorithms to sensor data, ensuring resilient and scalable data management across the IoT system.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If sensor data is stored in on-premise data centers, then data security and control are improved, but capacity and cost constraints worsen

Engineering Contradiction:

Improvedata securityVSAvoidstorage capacity

Core Design Contradiction:

ReliabilityVSQuantity of substance

Solution Approach 1:

The patent segments data management policies into multiple types (transmission, retention, retirement, processing) that can be applied differently across various IoT components. This segmentation allows selective application of policies to different data subsets, enabling efficient use of limited on-premise storage capacity while maintaining security for critical data.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The patent changes parameters of data management by introducing policy operators that dynamically adjust data handling characteristics. These operators modify data transmission frequency, retention duration, and processing intensity based on system conditions, allowing the system to adapt storage requirements to available capacity while maintaining security requirements.

Inventive Principle:

Principle #35Parameter changes

2Quantity of substance

If cloud storage is used for sensor data, then storage capacity is improved, but data protection and security worsen

Engineering Contradiction:

Improvestorage capacityVSAvoiddata protection

Core Design Contradiction:

Quantity of substanceVSReliability

Solution Approach 1:

The patent applies different data management policies to different IoT components and data types. Critical data that requires high protection is handled with stricter retention and transmission policies at the edge, while less sensitive data can be stored in cloud with more relaxed policies. This local differentiation of policy strictness enables cloud storage utilization while maintaining protection for sensitive data.

Inventive Principle:

Principle #3Local quality

3Adaptability or versatility

If diverse edge devices are managed, then system versatility is improved, but management complexity worsens

Engineering Contradiction:

Improvedevice diversityVSAvoidmanagement complexity

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The patent creates universal data management policies that can be applied across diverse IoT components including sensors, edge devices, gateways, and cloud platforms. The policy framework and operators are designed to work uniformly across different device types, providing a standardized management approach that reduces complexity despite device diversity.

Inventive Principle:

Principle #6Universality (Multi-functionality)

Solution Approach 2:

The patent introduces policy operators as intermediary components that mediate between diverse edge devices and the central management system. These operators provide a standardized interface for data handling, translating device-specific data characteristics into uniform policy applications, thereby simplifying management of heterogeneous devices.

Inventive Principle:

Principle #24Intermediary (Mediator)

4Productivity

If data is transmitted and processed across multiple IoT components, then data processing capability is improved, but communication disruption risks worsen

Engineering Contradiction:

Improvedata processing capabilityVSAvoidcommunication reliability

Core Design Contradiction:

ProductivityVSReliability

Solution Approach 1:

The patent implements preliminary data processing and filtering at edge devices before transmission to central systems. By performing initial processing locally, the system reduces the amount of data that needs to be transmitted over the network, thereby reducing communication dependencies and vulnerability to disruptions while maintaining processing capability.

Inventive Principle:

Principle #10Preliminary action

Data Source

PatentUS10958536B2Data management policies for internet of things components

Publication Date: 2021.03.23 EMC IP HLDG CO LLC

AI summary

Techniques are provided for implementing data management policies for various components of an Internet of Things (IoT) system. An exemplary method performed by an IoT component comprises: obtaining sensor data; obtaining a data management policy that specifies a data transmission policy, a data retention policy, a data retirement policy and/or a data processing policy for a processing of the sensor data by a plurality of IoT components; and processing the sensor data based on the obtained data management policy. Data policy operators are optionally provided to (i) adjust a resolution of the sensor data; (ii) aggregate the sensor data; and/or (iii) apply a learning algorithm to the sensor data, based on the data management policy.