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IoT and Signal Conditioning

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IoT and Signal Conditioning
Sensors and Signal Conditioning
- Physical Sensors
- Thermistors, RTDs, strain gauges, MEMS.
- Capture physical events: temperature, pressure, motion.
- Signal Conditioning
- Amplification
- Circuits: operational amplifiers.
- Formula
- Filtering
- Types: low-pass, high-pass, band-pass.
- Low-pass filter formula:
- Linearization
- Convert non-linear signals into linear signals.
- Methods: logarithmic or exponential circuits.
- Conversion
- ADC: analog
- digital (successive approximation, integration, continuous current).
- DAC: digital
- analog (weighted resistor, constant current).
- ADC: analog
- Amplification
- Physical Sensors
IoT Architecture
- Devices and Networks
- Sensors
- Edge
- Gateways
- Cloud/Fog
- Applications.
- Networks
- PAN: Bluetooth, Zigbee, Z-Wave.
- LAN: Wi-Fi, Thread, 6LoWPAN.
- WAN: 4G LTE, 5G, LoRaWAN, Sigfox
- Data Processing
- Edge computing: fast local analysis.
- Fog computing: intermediate processing.
- Cloud computing: storage and advanced analytic
- Analytics: rules engines, complex event processing, machine learning (neural networks, prediction).
- Security
- Physical, hardware, communication, protocols.
- Emerging technologies: Blockchain, Software Defined Perimeter.
- Devices and Networks
Network Value in IoT
- Metcalfe’s Law
- Implication: more sensors/devices → higher network value.
- Beckstrom’s Law
- Value = sum of all benefits and costs of each transaction.
- Formula
- Considers resilience, interruptions, and importance of each sensor/node.
- Metcalfe’s Law
IoT Architect Role
- Optimize sensor power consumption and data reliability.
- Ensure the network provides measurable value to the customer (Metcalfe/Beckstrom).
- Design a secure, scalable, and efficient system
- Choose protocols (MQTT, CoAP, AMQP), cloud/edge/fog strategies.
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- Mind Map on IoT and Signal Conditioning, created by jose Torres on 09/10/2025.
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- jose Torres
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