Skip to main content

Routing vs Switching | IPv4 vs IPv6


◈ What is Routing & Switching
◈ IPv4 vs IPv6

Routing is the process of sending data from a source to a destination along a specific path. For example, your device is linked to a nearby router, and the device to which you wish to transfer data is likewise connected to a nearby router, with some intermediate routers in between. That is all there is to it. By which device routing is processed is called router. Routing takes place at the network layer.

Switching, on the other hand, is a method of sending data from a source to a destination by splitting it into many frames and sending it through different ports of a router rather than broadcasting to all ports. As a result, it is common for frames or data packets to arrive at their intended address via several routing paths. It is not necessary for all packets to arrive at receiver thru same path in a datagram network or packet switching network (where routers construct paths for data transit), nor is it necessary for all packets to arrive in the same order.


Switching:

Assume you only have two computers to connect with. Then we can use a cable to link two PCs. Assume, however, that there are more than two computers and that we need to connect them. Mesh connections (where each device is connected to others), ring connections (where each device is connected to a central computer), and bus connections (where each device is connected to a common bus) are some of the solutions available. However, when billions of devices are connected to a network, those strategies are ineffective. We normally look for the most cost-effective option, such as switching in this case.

Circuit Switching:

For better explanation, I'll use a simple example of switching. Each channel in 2G GSM has a bandwidth of 200 KHz. TDM (time division multiplexing) switching allows each channel to handle up to eight devices at once.


We've depicted a TDM swathing in which each device is connected to a single channel by distinct time slots in the diagram above. The multiplexed signal can then be transmitted over the same route that carries data for N users. If B is a receiver device, the sent signal is routed through a nearby router, where the multiplexed signal is demultiplexed so that B receives the right signal. For this purpose, IP addresses are important since the header contains the source and destination addresses, and the signal may be routed through many routers to reach the intended user. Circuit switching is seen in the above example. Packet switching is another major switching method for datagram networks.

Packet Switching:

Circuit switching is not the same as packet switching. The data is separated into packets when packet switching is used. It is also not required that all packets be sent over the same path. When circuit switching is used, the communication path is fixed once it is established. When packet switching is used, each packet is delivered to the receiver over numerous paths.


Let's suppose we need to deliver data from a device connected to Router A and transfer it to a device connected to Router B in the diagram above. For packet switching in a datagram network, the entire data is framed/divided into different blocks (technically, packets/ bytes), and then packets 1,2,3,4&5 are ready to be transferred. Assuming a router (nearby router) has three ports, packets 1 and 2 are sent through port 1, packets 2 and 3 are sent through port 3, while packets 4 and 5 are waiting to be transferred. Once any port becomes free, packet 4 will be sent. Packet 5 follows the same procedure.

Routing:

We've previously gone over some of the most important aspects of routing. Routing is required whenever two devices need to be connected over the internet. And everything takes place at the network layer, using a transmission protocol such as TCP IP. The data layer's role is to frame data. Each data to be sent is given a header and a data portion. We discussed the header portion, which contains the source and destination addresses so that data may be transmitted to the correct location. Routing is not required when communicating between two devices on the same network. It'll be handled by the data layer. Routing is necessary if we need to send data to another network.

In plain languages, when we connect to a router locally, such as in our homes or offices, and there are several users connected to the same router, the router allocates different bandwidth to each user, and users connect to the network via different ports of the same router. When you send a request, the signal travels through a specific port, and when the response from the core network / server arrives, switching is in charge of delivering the correct data packets / information to the correct user, rather than broadcasting to all users connected to the same router's different ports.

When you send mail to a buddy who lives hundreds or thousands of kilometres away, routing is critical in determining the shortest or most appropriate communication or message delivery path between you and your friend. Between you and your buddy, there are many intermediate networks. Routing is not required if you and your friend are both connected to the same network.

Also read about
[1] IP v4 vs IPv6
#What switches does the 5g network work on it?

People are good at skipping over material they already know!

View Related Topics to







Contact Us

Name

Email *

Message *

Popular Posts

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

📘 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...

BER performance of QPSK with BPSK, 4-QAM, 16-QAM, 64-QAM, 256-QAM, etc (MATLAB + Simulator)

📘 Overview 📚 QPSK vs BPSK and QAM: A Comparison of Modulation Schemes in Wireless Communication 📚 Real-World Example 🧮 MATLAB Code 📚 Further Reading   QPSK provides twice the data rate compared to BPSK. However, the bit error rate (BER) is approximately the same as BPSK at low SNR values when gray coding is used. On the other hand, QPSK exhibits similar spectral efficiency to 4-QAM and 16-QAM under low SNR conditions. In very noisy channels, QPSK can sometimes achieve better spectral efficiency than 4-QAM or 16-QAM. In practical wireless communication scenarios, QPSK is commonly used along with QAM techniques, especially where adaptive modulation is applied. Modulation Bits/Symbol Points in Constellation Usage Notes BPSK 1 2 Very robust, used in weak signals QPSK 2 4 Balanced speed & reliability 4-QAM ...

MATLAB code for BER vs SNR for M-QAM, M-PSK, QPSk, BPSK, ...(with Online Simulator)

🧮 MATLAB Code for BPSK, M-ary PSK, and M-ary QAM Together 🧮 MATLAB Code for M-ary QAM 🧮 MATLAB Code for M-ary PSK 📚 Further Reading MATLAB Script for BER vs. SNR for M-QAM, M-PSK, QPSK, BPSK % Written by Salim Wireless clc; clear; close all; num_symbols = 1e5; snr_db = -20:2:20; psk_orders = [2, 4, 8, 16, 32]; qam_orders = [4, 16, 64, 256]; ber_psk_results = zeros(length(psk_orders), length(snr_db)); ber_qam_results = zeros(length(qam_orders), length(snr_db)); for i = 1:length(psk_orders) psk_order = psk_orders(i); for j = 1:length(snr_db) data_symbols = randi([0, psk_order-1], 1, num_symbols); modulated_signal = pskmod(data_symbols, psk_order, pi/psk_order); received_signal = awgn(modulated_signal, snr_db(j), 'measured'); demodulated_symbols = pskdemod(received_signal, psk_order, pi/psk_order); ber_psk_results(i, j) = sum(data_symbols ~= demodulated_symbols) / num_symbols; end end for i...

Theoretical BER vs SNR for binary ASK, FSK, and PSK with MATLAB Code + Simulator

📘 Overview & Theory 🧮 MATLAB Codes 📚 Further Reading Theoretical BER vs SNR for Amplitude Shift Keying (ASK) The theoretical Bit Error Rate (BER) for binary ASK depends on how binary bits are mapped to signal amplitudes. For typical cases: If bits are mapped to 1 and -1, the BER is: BER = Q(√(2 × SNR)) If bits are mapped to 0 and 1, the BER becomes: BER = Q(√(SNR / 2)) Where: Q(x) is the Q-function: Q(x) = 0.5 × erfc(x / √2) SNR : Signal-to-Noise Ratio N₀ : Noise Power Spectral Density Understanding the Q-Function and BER for ASK Bit '0' transmits noise only Bit '1' transmits signal (1 + noise) Receiver decision threshold is 0.5 BER is given by: P b = Q(0.5 / σ) , where σ = √(N₀ / 2) Using SNR = (0.5)² / N₀, we get: BER = Q(√(SNR / 2)) Theoretical BER vs ...

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 ...

How Windowing Affects Your Periodogram

The windowed periodogram is a widely used technique for estimating the Power Spectral Density (PSD) of a signal. It enhances the classical periodogram by mitigating spectral leakage through the application of a windowing function. This technique is essential in signal processing for accurate frequency-domain analysis.   Power Spectral Density (PSD) The PSD characterizes how the power of a signal is distributed across different frequency components. For a discrete-time signal, the PSD is defined as the Fourier Transform of the signal’s autocorrelation function: S x (f) = FT{R x (Ï„)} Here, R x (Ï„)}is the autocorrelation function. FT : Fourier Transform   Classical Periodogram The periodogram is a non-parametric PSD estimation method based on the Discrete Fourier Transform (DFT): P x (f) = \(\frac{1}{N}\) X(f) 2 Here: X(f): DFT of the signal x(n) N: Signal length However, the classical periodogram suffers from spectral leakage due to abrupt truncation of the ...

MATLAB Code for QPSK Modulation and Demodulation

📘 Overview 🧮 MATLAB Codes 🧮 Theory 🧮 BER performance of QPSK with BPSK, 4-QAM, 16-QAM, 64-QAM, 256-QAM, etc 📚 Further Reading   Quadrature Phase Shift Keying (QPSK) is a digital modulation scheme that conveys two bits per symbol by changing the phase of the carrier signal. Each pair of bits is mapped to one of four possible phase shifts: 0°, 90°, 180°, or 270° 00  ===> 0 degree phase shift of carrier signal 01  ===> 90 degree 11  ===> 180 degree 10  ===> 270 degree   MATLAB Script clc; clear all; close all; clc; M = 4; data = randi([0 (M-1)], 1000, 1); Phase = 0; modData=pskmod(data,M,Phase); figure(1); scatterplot(modData); channelAWGN = 15; rxData2 = awgn(modData, channelAWGN); figure(2); scatterplot(rxData2); demodData = pskdemod(rxData2,M,Phase);   Result data 1 0 2 2 0 2 1 . . . modData -1.00000000000000 + 1.22464679914735e-16i -1.83697019872103e-16 - 1.000000000000...

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

📘 Overview & Theory 🧮 MATLAB Code for ASK 🧮 MATLAB Code for FSK 🧮 MATLAB Code for PSK 🧮 Simulator for binary ASK, FSK, and PSK Modulations 📚 Further Reading ASK, FSK & PSK HomePage MATLAB Code MATLAB Code for ASK Modulation and Demodulation % The code is written by SalimWireless.Com % Clear previous data and plots clc; clear all; close all; % Parameters Tb = 1; % Bit duration (s) fc = 10; % Carrier frequency (Hz) N_bits = 10; % Number of bits Fs = 100 * fc; % Sampling frequency (ensure at least 2*fc, more for better representation) Ts = 1/Fs; % Sampling interval samples_per_bit = Fs * Tb; % Number of samples per bit duration % Generate random binary data rng(10); % Set random seed for reproducibility binary_data = randi([0, 1], 1, N_bits); % Generate random binary data (0 or 1) % Initialize arrays for continuous signals t_overall = 0:Ts:(N_bits...