IoT Architecture and Ecosystem
The chapter provides a comprehensive overview of IoT systems, highlighting their four-layer architecture: Perception, Network, Middleware, and Application. Each layer plays a specific role in the data lifecycle, from sensing to user interaction. Furthermore, it outlines the broader IoT ecosystem, including key hardware, software, and connectivity technologies. Different computing paradigms like edge, fog, and cloud computing are discussed, demonstrating their relevance to real-world applications.
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What we have learnt
- IoT systems consist of four main architectural layers: Perception, Network, Middleware, and Application.
- The IoT ecosystem encompasses diverse components such as hardware, software, connectivity technologies, and security tools.
- Edge and fog computing serve as alternatives to cloud computing, offering localized data processing for quicker decision-making.
Key Concepts
- -- Perception Layer
- The physical layer that consists of sensors, actuators, and devices that gather data.
- -- Network Layer
- Responsible for the transfer of data via communication protocols like Wi-Fi and Bluetooth.
- -- Middleware Layer
- Processes, stores, and analyzes data and can be either cloud-based or localized.
- -- Application Layer
- Interfaces with end-users through dashboards, mobile applications, and automation tools.
- -- Edge Computing
- Data processing that occurs close to the source of data, enabling real-time decision-making.
- -- Fog Computing
- An intermediary layer between edge devices and cloud services that reduces latency by processing data locally.
- -- Cloud Computing
- Centralized computing that processes and stores large volumes of data in data centers.
Additional Learning Materials
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