The () connects everyday devices to the internet, creating a vast network of data-generating sensors. processes this data near its source, enabling and actions without the need for constant cloud communication.
IoT and edge analytics have wide-ranging applications, from in factories to optimizing in . By analyzing data locally, these technologies reduce and needs, while improving efficiency and decision-making across various industries.
Internet of Things (IoT) and Edge Analytics
Definition of IoT and edge analytics
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IoT involves a network of connected devices embedded with sensors, software, and connectivity that collect and exchange data without human intervention (, wearables, )
Edge analytics processes and analyzes data near the source (IoT devices) instead of in a centralized location, reducing latency and and enabling and actions
Data generation from IoT devices
IoT devices generate data continuously or at regular intervals through sensors that collect data on various parameters (temperature, humidity, vibration)
Generated data can be structured, semi-structured, or unstructured
is important because it:
Reduces data transmission costs by filtering and aggregating data at the source
Minimizes latency by processing data closer to the point of generation
Enables real-time decision-making and actions
Enhances and security by reducing data movement
Benefits of edge analytics
Enables immediate processing and analysis of data, allowing for quick detection of , , and
Facilitates and alerts based on predefined rules or
Filters and aggregates data, sending only relevant information to the cloud, minimizing bandwidth requirements and associated costs
Reduces storage costs by retaining only essential data
IoT and edge analytics applications
IoT sensors monitor equipment performance and condition
Edge analytics detects anomalies and predicts potential failures, enabling proactive maintenance and reducing downtime and costs
IoT devices track inventory levels, shipments, and asset locations
Edge analytics optimizes routing, , and , improving efficiency, reducing waste, and enhancing customer satisfaction
Smart cities
IoT and edge analytics optimize traffic flow (), energy consumption (), and public safety ()
IoT devices monitor (heart rate, blood pressure)
Edge analytics detects anomalies and provides real-time alerts to
IoT sensors monitor , temperature, and nutrient levels
Edge analytics optimizes irrigation, fertilization, and pest control based on sensor data, improving crop yields and resource efficiency