5.2 Technologies Enabling IoT

The Internet of Things (IoT) does not rely on a single technology — it is made possible by a combination of enabling technologies that work together to connect physical devices to the digital world.

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1. Sensors and Actuators

Sensors are the foundation of any IoT system. They act as the eyes and ears of IoT by detecting physical conditions in the environment and converting them into digital signals.

Actuators are the hands of IoT — they receive digital commands and perform physical actions:

• Opening/closing a valve
• Turning a motor on/off
• Switching lights on/off

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2. RFID (Radio Frequency Identification)

RFID is a wireless technology that uses electromagnetic fields to automatically identify and track objects.

Components of an RFID System:

• RFID Tag — A small chip attached to an object that stores data (e.g., product ID, location).
• RFID Reader — A device that emits radio waves and reads data from nearby tags.

Applications in IoT:

• Supply chain management — tracking goods from warehouse to store
• Inventory management — automated stock counting
• Access control — smart ID cards
• Animal tracking — microchips in pets

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3. Connectivity Technologies

IoT devices must communicate with each other and with the cloud. Several wireless protocols enable this:

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4. IPv6 — The Address Space Enabler

Every IoT device needs a unique IP address to communicate over the internet.

• IPv4 supports approximately $2^{32}\approx 4.3$ billion addresses — already exhausted.
• IPv6 supports $2^{128}$ addresses — a virtually unlimited number sufficient for billions of IoT devices.

Without IPv6, the massive scale of IoT (projected tens of billions of devices) would be impossible.

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5. Cloud Computing

IoT devices generate enormous volumes of data that cannot be stored or processed locally. Cloud Computing provides:

• Remote storage — data from millions of devices stored in data centres
• Processing power — servers analyse data in real time
• Accessibility — data accessible from anywhere via the internet
• Scalability — storage and compute resources can grow with demand

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6. Big Data Analytics

The data collected by IoT sensors is only useful if it can be analysed and interpreted. Big Data Analytics tools process high-volume, high-velocity data to:

• Identify patterns and trends
• Generate predictions (predictive maintenance)
• Trigger automated responses

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7. Artificial Intelligence (AI) and Machine Learning

AI enables IoT systems to become intelligent and autonomous:

• Machine Learning — devices learn from historical data to improve decisions
• Predictive Analytics — anticipate failures before they occur
• Natural Language Processing — voice-controlled IoT (e.g., smart speakers)

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Summary Table