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Loading...Introduction to Smart City Infrastructure
Last quarter, our team discovered the importance of building a smart city infrastructure when we were tasked with designing a sustainable and efficient system for a medium-sized city. We chose to implement edge computing, LoRaWAN, and digital twin technology using Ubuntu Core 22, ChirpStack 4.0, and Unity 2023. Here's what I learned when implementing this project.
The Problem We Faced
We had to collect and analyze data from various sensors and devices across the city, including traffic management, energy consumption, and waste management. The traditional cloud-based approach was not feasible due to the high latency and bandwidth requirements. That's when we decided to use edge computing to process data in real-time, reducing latency and improving overall efficiency.
Edge Computing with Ubuntu Core 22
I realized that edge computing only works if you also do proper device management and security.
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- Complete step-by-step implementation guide
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- Real-world examples and metrics
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