Skip to main content

Internet of Things (IoTs) : Definition & Its Applications


'Internet of Things' is abbreviated as IoT. For example, we can connect all sensors in a building (such as fire alarms and temperature sensors) and control them remotely from anywhere in the globe. We can, on the other hand, use it to create a smart city. In a logistic system, we may use it to cut down on unnecessary costs and keep things running smoothly.

We'll now discuss how to connect those gadgets to the internet. Cloud services are required for this. The IoT devices should then be connected to the cloud server. You may also operate those IoT devices through a website or an app (as per your need). Your website or app will, however, communicate with the cloud, and all operations will take place on the cloud server. To connect your IoT devices to the internet, you can utilize Amazon Web Services (AWS). The author is not advocating Amazon AWS services in this article. If you can afford it, go for it.


What are the functions of IoT devices?

The major goal of deploying IoT devices is to bring large-scale automation into our daily lives. This will also lower human affords while boosting the economy. It will be used for monitoring 24*7 at a low cost. It will also create new job opportunities as demand grows every day.


How can the Internet of Things (IoT) help to revolutionize our society?

Sensors, robotics, and machineries connected to the internet, V2V (vehicle to vehicle) communication, V2I (vehicle to infrastructure) communication, and M2M (machine to machine) communication have all been major concerns for many years. Although these devices consume less data, it is critical to maintain ultra-low latency in order to connect with all IoT devices (nodes) in real time. Due to its large bandwidth resource, modern 5G technology or millimeter wave band has the potential to handle thousands of devices per square kilometer simultaneously and smoothly. The extremely high frequency band, on the other hand, satisfies the ultra-low latency condition as well.


In which areas may the Internet of Things be used to benefit society?


Agriculture

It can give real-time monitoring of crop growth and the requirement for crop harvesting. It may monitor the dryness of the soil, for example, and assist in watering the plants as needed, thanks to AI (artificial intelligence). It has the potential to make farming easier than it has ever been before.


Construction

In construction sites, AI (artificial intelligence) combined with IoT devices can be utilized for risk management, reducing construction site mishaps by adding an extra layer of security.


Education

IoT sensors can be used for energy management by installing IoTs in lights and taps.  It can also be utilised to create a safe and secure school or college atmosphere. With the use of AI, a student can select appropriate elective subjects based on their knowledge. Educational learning apps, on the other hand, can make decisions based on how subject knowledge is provided as well as inputs or feedback from students.


Fleet Management

In today's world, road safety is a hot topic. Every day, many lives are lost as a result of road accidents. We can monitor roadways 24*7, thanks to AI-enabled IoTs. If an accident occurs, or someone violates the speed limit, it will alert the response team immediately. In the same way, IoT sensors put on vehicles can aid fleet management. It has the potential to increase commercial vehicle safety and efficiency.


Healthcare

We all know how critical IoT devices are in the healthcare industry. Every second counts for a patient in this situation. The creation of cloud-based healthcare systems is an excellent notion for saving many lives. Patients, for example, can download healthcare apps to their smartphones based on their needs, and the app will monitor the patient's health state 24 hours a day, seven days a week. It will also automatically convey the message to nearby relatives or doctors.


Logistics

Without a question, a country's logistic system is its economic backbone. If it fails even slightly, we will see price hikes all around us. With an AI-enabled IoT-based logistic system, society can experience a revolution by decreasing unnecessary delays in the delivery process as well as reducing commodities waste.

 

Smart Cities and Spaces

As we move forward in time, we realize the importance of smart cities. This will aid in energy management, air pollution reduction, water management, traffic management, healthcare, parking, and natural disaster management, among other things.


Smart Campus


Smart Malls/Retail


Traffic Management

Traffic management in cities is essential; otherwise, there will be major traffic congestion in popular locations and completely empty streets elsewhere. This is partly dependent on the road's architecture and layout, however smart traffic signals can help. For example, traffic lights should adjust automatically based on traffic volume, with green lights lasting longer when there is more traffic and shorter when the streets are empty. Roads and bridges can also be fitted with sensors to monitor their condition and repair them if they show signs of wear and tear. 

#Unmanned aerial vehicle





Contact Us

Name

Email *

Message *

Popular Posts

UGC NET Electronic Science Previous Year Question Papers with Solutions

Home / Engineering & Other Exams / UGC NET 2026 PYQ ⬇️ Download Papers and Solutions 📋 Exam Pattern 💡 Preparation Tips ❓ FAQs 📊 Exam Highlights: Electronic Science (88) Feature Details Junior Research Fellowship (JRF) ₹37,000 + HRA per month Eligibility M.Sc/M.Tech in Electronics (55%) Validity of Certificate JRF (3 Years) | Lectureship (Lifetime) 📥 Download UGC NET Electronics PDFs Complete collection of previous year question papers, answer keys and explanations for Subject Code 88. Start Downloading 📂 View All Question Papers June 2025 - Question Paper Download PDF June 2025 - Solved Paper + Explanation ...

MUSIC Algorithm Explained (with MATLAB + Simulator)

Practical Implementation of the MUSIC Algorithm The focus is on how the algorithm works computationally , not just theory, and it explains the denominator (a H E n E n H a) mathematically and intuitively. 1. Introduction The MUSIC (Multiple Signal Classification) algorithm is a high-resolution method used in signal processing and array processing to estimate the Direction of Arrival (DOA) of signals received by a sensor array. Unlike classical beamforming methods, MUSIC uses eigenvector decomposition of the covariance matrix to separate the signal subspace and noise subspace , allowing it to achieve much higher angular resolution. In practical implementations, MUSIC works by: Simulating or collecting array signals Computing the covariance matrix Performing eigenvalue decomposition Separating signal and noise subspaces Scanning possible angles using a steering vector Constructing a pseudo-spectrum where peaks indicate signal directions 2. Signal Mo...

BER vs SNR for M-ary QAM, M-ary PSK, QPSK, BPSK, ...(MATLAB Code + Simulator)

Bit Error Rate (BER) & SNR Guide Analyze communication system performance with our interactive simulators and MATLAB tools. 📘 Theory 🧮 Simulators 💻 MATLAB Code 📚 Resources BER Definition SNR Formula BER Calculator MATLAB Comparison 📂 Explore M-ary QAM, PSK, and QPSK Topics ▼ 🧮 Constellation Simulator: M-ary QAM 🧮 Constellation Simulator: M-ary PSK 🧮 BER calculation for ASK, FSK, and PSK 🧮 Approaches to BER vs SNR Calculation What is Bit Error Rate (BER)? The BER indicates how many corrupted bits are received compared to the total number of bits sent. It is the primary figur...

MATLAB Code for ASK, FSK, and PSK (with Online Simulator)

MATLAB Code for ASK, FSK, and PSK Comprehensive implementation of digital modulation and demodulation techniques with simulation results. 📘 Theory 📡 ASK Code 📶 FSK Code 🎚️ PSK Code 🕹️ Simulator 📚 Further Reading Amplitude Shift Frequency Shift Phase Shift Live Simulator ASK, FSK & PSK HomePage MATLAB Code MATLAB Code for ASK Modulation and Demodulation COPY % The code is written by SalimWireless.Com clc; clear all; close all; % Parameters Tb = 1; fc = 10; N_bits = 10; Fs = 100 * fc; Ts = 1/Fs; samples_per_bit = Fs * Tb; rng(10); binar...

Constellation Diagrams of ASK, PSK, and FSK (with MATLAB Code + Simulator)

Constellation Diagrams: ASK, FSK, and PSK Comprehensive guide to signal space representation, including interactive simulators and MATLAB implementations. 📘 Overview 🧮 Simulator ⚖️ Theory 📈 Q-function 📚 Resources BASK Modulation Transmits one of two signals: 0 or $\sqrt{E_b}$, representing binary 0 and 1. Simple but sensitive to noise. BFSK Modulation Transmits one of two signals: $\sqrt{E_b}$ on the Y-axis or $\sqrt{E_b}$ on the X-axis. These are orthogonal signals. BPSK Modulation Transmits $+\sqrt{E_b}$ or $-\sqrt{E_b}$ (antipodal signaling). Most efficient binary scheme. ...

OFDM Symbols and Subcarriers Explained

This article explains how OFDM (Orthogonal Frequency Division Multiplexing) symbols and subcarriers work. It covers modulation, mapping symbols to subcarriers, subcarrier frequency spacing, IFFT synthesis, cyclic prefix, and transmission. Step 1: Modulation First, modulate the input bitstream. For example, with 16-QAM , each group of 4 bits maps to one QAM symbol. Suppose we generate a sequence of QAM symbols: s0, s1, s2, s3, s4, s5, …, s63 Step 2: Mapping Symbols to Subcarriers Assume N sub = 8 subcarriers. Each OFDM symbol in the frequency domain contains 8 QAM symbols (one per subcarrier): Mapping (example) OFDM symbol 1 → s0, s1, s2, s3, s4, s5, s6, s7 OFDM symbol 2 → s8, s9, s10, s11, s12, s13, s14, s15 … OFDM sym...

Frequency Selective Fading vs Flat Fading in MATLAB

In the MATLAB code below, a comparison between  frequency-selective fading  and  flat fading  is shown. In frequency-selective fading, multipath propagation causes multiple delayed copies of the signal to arrive at the receiver. When the channel delay spread exceeds the symbol duration, these delayed components overlap, resulting in inter-symbol interference (ISI). In flat fading, ISI does not occur because the signal bandwidth is much smaller than the channel’s coherence bandwidth . Therefore, the channel response remains approximately constant across the signal bandwidth, and all symbols experience the same fading. MATLAB Code for frequency selective fading channel % OFDM over frequency selective Rayleigh fading channel clc; clearvars; close all ; % Simulation parameters nSym = 10^4; % Number of OFDM symbols EbN0dB = 0:2:20; % Eb/N0 range MOD_TYPE = 'MPSK' ; % 'MPSK' or 'MQAM' M = 4; % QPSK N = 64; % Total number ...

PSD Calculation with FFT: MATLAB Tutorial for Signal Analysis

  Implementation Steps 1. FFT Computes the Frequency Content of a Signal FFT converts a time-domain signal to the frequency domain. If: The signal is sampled at rate $f_s$ You compute an $N_{\text{FFT}}$-point FFT Then each FFT bin corresponds to a frequency resolution of: $$\Delta f = \frac{f_s}{N_{\text{FFT}}}$$ So the FFT gives you accurate frequency content, assuming the signal is stationary and adequately sampled (Nyquist criterion met).  2. Magnitude Squared Gives Power (Not Amplitude) $$P[k] = |X[k]|^2$$ This gives power at each frequency bin, not just amplitude. It represents how much energy is present at each frequency. It's a key step for PSD.  3. Normalization Makes the PSD Physically Meaningful The equation: $$\text{PSD}[k] = \frac{|X[k]|^2}{N_{\text{FFT}} \cdot f_s \cdot U}$$ is derived from first principles and ensures that the u...