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



People are good at skipping over material they already know!

View Related Topics to







Contact Us

Name

Email *

Message *

Popular Posts

MATLAB Code for Rms Delay Spread

RMS delay spread is crucial when you need to know how much the signal is dispersed in time due to multipath propagation, the spread (variance) around the average. In high-data-rate systems like LTE, 5G, or Wi-Fi, even small time dispersions can cause ISI. RMS delay spread is directly related to the amount of ISI in such systems. RMS Delay Spread [↗] Delay Spread Calculator Enter delays (ns) separated by commas: Enter powers (dB) separated by commas: Calculate   The above calculator Converts Power to Linear Scale: It correctly converts the power values from decibels (dB) to a linear scale. Calculates Mean Delay: It accurately computes the mean excess delay, which is the first moment of the power delay profile. Calculates RMS Delay Spread: It correctly calculates the RMS delay spread, defined as the square root of the second central moment of the power delay profile.   MATLAB Code  clc...

BER vs SNR for M-ary QAM, M-ary PSK, QPSK, BPSK, ...

📘 Overview of BER and SNR 🧮 Online Simulator for BER calculation of m-ary QAM and m-ary PSK 🧮 MATLAB Code for BER calculation of M-ary QAM, M-ary PSK, QPSK, BPSK, ... 📚 Further Reading 📂 View Other Topics on M-ary QAM, M-ary PSK, QPSK ... 🧮 Online Simulator for Constellation Diagram of m-ary QAM 🧮 Online Simulator for Constellation Diagram of m-ary PSK 🧮 MATLAB Code for BER calculation of ASK, FSK, and PSK 🧮 MATLAB Code for BER calculation of Alamouti Scheme 🧮 Different approaches to calculate BER vs SNR What is Bit Error Rate (BER)? The abbreviation BER stands for Bit Error Rate, which indicates how many corrupted bits are received (after the demodulation process) compared to the total number of bits sent in a communication process. BER = (number of bits received in error) / (total number of tran...

Constellation Diagrams of ASK, PSK, and FSK

📘 Overview of Energy per Bit (Eb / N0) 🧮 Online Simulator for constellation diagrams of ASK, FSK, and PSK 🧮 Theory behind Constellation Diagrams of ASK, FSK, and PSK 🧮 MATLAB Codes for Constellation Diagrams of ASK, FSK, and PSK 📚 Further Reading 📂 Other Topics on Constellation Diagrams of ASK, PSK, and FSK ... 🧮 Simulator for constellation diagrams of m-ary PSK 🧮 Simulator for constellation diagrams of m-ary QAM BASK (Binary ASK) Modulation: Transmits one of two signals: 0 or -√Eb, where Eb​ is the energy per bit. These signals represent binary 0 and 1.    BFSK (Binary FSK) Modulation: Transmits one of two signals: +√Eb​ ( On the y-axis, the phase shift of 90 degrees with respect to the x-axis, which is also termed phase offset ) or √Eb (on x-axis), where Eb​ is the energy per bit. These signals represent binary 0 and 1.  BPSK (Binary PSK) Modulation: Transmits one of two signals...

Online Simulator for ASK, FSK, and PSK

Try our new Digital Signal Processing Simulator!   Start Simulator for binary ASK Modulation Message Bits (e.g. 1,0,1,0) Carrier Frequency (Hz) Sampling Frequency (Hz) Run Simulation Simulator for binary FSK Modulation Input Bits (e.g. 1,0,1,0) Freq for '1' (Hz) Freq for '0' (Hz) Sampling Rate (Hz) Visualize FSK Signal Simulator for BPSK Modulation ...

Alamouti Scheme for 2x2 MIMO in MATLAB

📘 Overview & Theory 🧮 MATLAB Code for Alamouti Scheme 🧮 MATLAB Code for BER vs. SNR for Alamouti Scheme 🧮 Alamouti Scheme Simulator 🧮 Alamouti Scheme Transmission Table 📚 Further Reading    Read about the Alamouti Scheme first MATLAB Code for Alamouti's Precoding Matrix for 2 X 2 MIMO % Clear any existing data and figures clc; clear; close all; % Define system parameters transmitAntennas = 2; % Number of antennas at the transmitter receiveAntennas = 2; % Number of antennas at the receiver symbolCount = 1000000; % Number of symbols to transmit SNR_dB = 15; % Signal-to-Noise Ratio in decibels % Generate random binary data for transmission rng(10); % Set seed for reproducibility transmitData = randi([0, 1], transmitAntennas, symbolCount); % Perform Binary Phase Shift Keying (BPSK) modulation modulatedSymbols = 1 - 2 * transmitData; % Define Alamouti's Precoding Matrix precodingMatrix = [1 1; -1i 1i]; % Encode and transmit dat...

LDPC Encoding and Decoding Techniques

📘 Overview & Theory 🧮 LDPC Encoding Techniques 🧮 LDPC Decoding Techniques 📚 Further Reading 'LDPC' is the abbreviation for 'low density parity check'. LDPC code H matrix contains very few amount of 1's and mostly zeroes. LDPC codes are error correcting code. Using LDPC codes, channel capacities that are close to the theoretical Shannon limit can be achieved.  Low density parity check (LDPC) codes are linear error-correcting block code suitable for error correction in a large block sizes transmitted via very noisy channel. Applications requiring highly reliable information transport over bandwidth restrictions in the presence of noise are increasingly using LDPC codes. 1. LDPC Encoding Technique The proper form of H matrix is derived from the given matrix by doing multiple row operations as shown above. In the above, H is parity check matrix and G is generator matrix. If you consider matrix H as [-P' | I] then matrix G will be...

What is a Chirp Signal?

📘 Overview & Theory 🧮 MATLAB Code 🧮 Chirp Signal Simuator 📚 Further Reading   Chirp signals are often used to find target objects. In a chirp signal, the frequency varies with time. For up-chirp signals, frequency increases with time. Oppositely, for down-chirp signals, the frequency decreases with time. Advantages of a chirp signal over a single-toned signal Better resolution Better Security The wide bandwidth of a chirp signal allows for capturing more detailed info about the target or object In a chirp signal, pulse compression enhances resolution by concentrating the signal energy into a shorter duration of time It is less susceptible to noise  It improves signal to noise ratio Up-Chirp Signal A sinusoidal up-chirp signal is denoted as Where A is the amplitude of this signal             f0 is the starting frequency of the chirp at t=0             Î± is the chirp rate or the...

ASK, FSK, and PSK

📘 Overview 📘 Amplitude Shift Keying (ASK) 📘 Frequency Shift Keying (FSK) 📘 Phase Shift Keying (PSK) 📘 Which of the modulation techniques—ASK, FSK, or PSK—can achieve higher bit rates? 🧮 MATLAB Codes 📘 Simulator for binary ASK, FSK, and PSK Modulation 📚 Further Reading ASK or OFF ON Keying ASK is a simple (less complex) Digital Modulation Scheme where we vary the modulation signal's amplitude or voltage by the message signal's amplitude or voltage. We select two levels (two different voltage levels) for transmitting modulated message signals. For example, "+5 Volt" (upper level) and "0 Volt" (lower level). To transmit binary bit "1", the transmitter sends "+5 Volts", and for bit "0", it sends no power. The receiver uses filters to detect whether a binary "1" or "0" was transmitted. ...