IoT Distribution System with Blockchain and Edge Segmentation
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Solution Overview
Problem
The Internet of Things (IoT) faces challenges such as increased network traffic, bandwidth limitations, and security concerns due to the growing number of connected devices, which can lead to system overload and data privacy issues.
Innovation Solution
The implementation of a system and method that enhance the security and data flow in IoT platforms by using self-healing networks, device-agnostic technology, and advanced anomaly detection, while also integrating with existing enterprise systems and leveraging blockchain for secure data management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If more devices are connected to the Internet to expand IoT capabilities, then the functionality and data collection of the IoT platform are improved, but the network bandwidth and infrastructure become insufficient, leading to system overload
Solution Approach 1:
The patent segments the centralized IoT architecture into distributed edge computing nodes. Each edge node processes and filters data locally before transmitting to the central platform, reducing network traffic. This segmentation allows more devices to connect without overwhelming the central infrastructure, as data is distributed across multiple processing points throughout the network.
Solution Approach 2:
The patent introduces edge computing devices as intermediaries between IoT devices and the central platform. These intermediaries aggregate, filter, and pre-process data from multiple devices, reducing the volume of data transmitted over the network. This intermediary layer enables scalable device connectivity while maintaining network performance.
2Ease of operation
If centralized data processing is used to manage IoT devices, then device management is simplified, but security vulnerabilities increase and data privacy is compromised
Solution Approach 1:
The patent segments data processing functions between edge devices and the central platform. Sensitive data processing occurs locally at the edge, with only aggregated results transmitted centrally. This segmentation maintains operational simplicity while reducing security risks by minimizing centralized data storage and transmission of sensitive information.
Solution Approach 2:
The patent implements local data processing and filtering at edge devices, where data is processed according to local requirements and only relevant information is transmitted centrally. This local quality approach enhances security by keeping sensitive data localized while maintaining simplified management through standardized edge-node interfaces.
3Loss of information
If all IoT data is transmitted to the central platform for processing, then comprehensive data analysis is achieved, but network traffic increases and system performance degrades
Solution Approach 1:
The patent extracts and processes data locally at edge devices, filtering out redundant information before transmission to the central platform. This extraction approach maintains comprehensive data analysis capabilities by ensuring all necessary data is captured locally, while improving efficiency by transmitting only processed, relevant information to the central system.
Solution Approach 2:
The patent performs preliminary data processing, filtering, and aggregation at edge devices before data reaches the central platform. This preliminary action reduces the volume of data requiring central processing while ensuring data completeness through local validation and selection of relevant information for transmission.
4Adaptability or versatility
If traditional network infrastructure is expanded to accommodate more IoT devices, then device connectivity is improved, but implementation cost and time increase significantly
Solution Approach 1:
The patent employs universal edge computing devices that can serve multiple functions: local data processing, device management, and network routing. These multi-functional nodes enable expanded device connectivity without requiring proportional expansion of specialized infrastructure, reducing complexity while maintaining adaptability.
Data Source
AI summary
Internet of things distribution system and method is disclosed that utilizes blockchain ledgers. The system has a client-side component with an IoT gateway with a messaging protocol and sensors to collect data from a plurality of IoT devices. The system has access points in communication with the client-side component and a wireless mesh network composed of multiple access points, a backend component in communication with the client-side component and access point via a messaging broker, an analytics module configured to view and analyze the data collected by the sensors, and the ability to deliver the data to an existing server in a format that allows the server to distribute the IoT information in real time. A user device in communication with the backend component is configured to receive the analyzed data from the analytics module is further disclosed herein.