Siksha Sarovar

Siksha Sarovar (sikshasarovar.com) is a free educational web application that helps students in India learn programming and prepare for academic and competitive exams. The platform offers structured coding courses (C, C++, Python, Java, HTML, CSS, PHP, Power BI, AI, Machine Learning, Data Science), complete university curriculum notes for BCA/MCA students with previous year question papers, Class 10 and Class 12 CBSE/HBSE school notes, and dedicated preparation material for SSC, UPSC, Banking, Railway and other government exams. Browsing the site is completely free and requires no account. Users may optionally sign in with Google solely to save their learning progress, quiz scores and personal preferences across devices.

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Siksha Sarovar is a free e-learning platform for coding courses, BCA university notes and competitive exam preparation. Optional Google sign-in saves your learning progress across devices.

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2.1 Hardware for IoT: Sensor Physics and Selection Criteria

Lesson 7 of 31 in the free Internet of Things (IoT) notes on Siksha Sarovar, written by Rohit Jangra.

2.1.1 The Science of Sensing: The Transduction Principle

A sensor is a transducer that converts a physical phenomenon (like heat, light, or pressure) into a measurable electrical signal (analog voltage, current, or digital bitstream).

2.1.2 Comprehensive Sensor Classification Matrix (University Standard)

CategoryPhysical ParameterTransduction MechanismExamplesTechnical Spec Focus
ThermalTemperatureResistance change (RTD / NTC)LM35, DS18B20Linearity, Drift
ChemicalGas levelsElectrochemical reactionMQ-2, MQ-135Sensitivity, Selectivity
OpticalLight intensityPhotoconductivity / Photon countLDR, PhotodiodesLUX Range, Spectral
MechanicalForce / MotionCapacitance change / PiezoAccelerometer, GyroG-Range, Bandwidth
AcousticSound / NoisePiezoelectric / MEMS vibrationMEMS MicrophoneSNR, Frequency Res
MoistureWater contentCapacitive / ResistiveSoil Probe, DHT22Accuracy, Stability

2.1.3 Digital vs Analog Sensors: The Technical Divide

Understanding the interface is critical for IoT hardware design:

  • Analog Sensors: Produce a continuous voltage range (e.g., 0V to 3.3V). They require a high-precision ADC (Analog to Digital Converter) inside the MCU. They are susceptible to electromagnetic interference (EMI) over long cables.
  • Digital Sensors: Logic is integrated on the silicon die. They communicate using digital protocols (I2C, SPI, 1-Wire). Pro: High noise immunity, integrated ADC, multi-drop bus support. Con: Slightly higher cost and software complexity.

2.1.4 Smart Sensor Nodes: The Four-Subsystem Model

A university-level smart sensor node integrates four distinct subsystems:

  1. Sensing Subsystem: The raw transducer and signal conditioning circuitry (filtering, amplification).
  2. Processing Subsystem: A dedicated low-power MCU (e.g., ARM Cortex-M0) for local noise filtering and data thresholding.
  3. Communication Subsystem: A radio transceiver (RF) for wireless exchange (Zigbee, LoRa, BLE).
  4. Power Subsystem: Battery management ICs, LDO regulators, and potentially Energy Harvesting circuits.