Engineering Clinic

CoAP using NodeJS | Californium CoAP Client This post shows the Constrained Application Protocol (CoAP) demonstration using Node.js Prerequisites: 1. Node.js Software 2. Windows 11 or Ubuntu , or Mac OS 3. A Coap Client (we are planning to use Californium, which is based on JavaFX ) 4. Oracle 11 JDK is needed 5. Java FX 17 version, which is to be unzipped in any folder. Step 1: The Source code is named coap.js Listen to the following video for an explanation of the source code: var coap = require('coap'); function randomInt(min, max) {     return (Math.floor(Math.random() * (max - min) + min)); } var portNumber = 5683; coap.createServer(function(req, res) {     console.info('CoAP device got a request from %s', req.url);     if (req.headers['Accept'] != ' application/json ') {         res.code = '4.06';         return res.end();     }     switch (req.url) {         case ...

✅ What You’ll Need: A USB drive with at least 8GB of storage ( Windows 11 installation files are ~5.4GB ) Windows 11 ISO image or installation DVD Administrator privileges on your current system 🔧 Step-by-Step Instructions: Step 1: Backup Your USB Drive Plug in your USB drive and back up any important data — this process will erase everything. Step 2: Improve USB Performance (Optional, but Recommended) Go to: Control Panel → Device Manager → Disk Drives → [Your USB Drive] → Properties → Policies Select “Better performance” for faster write speeds. (Pro Tip: With this, Windows 10 can install in under 15 minutes — even on machines with just 4GB RAM !) Step 3: Open Command Prompt as Administrator Go to: Start → Accessories → Right-click “ Command Prompt ” → Run as Administrator Step 4: Use DISKPART to Prepare the USB Drive Type the following commands one by one: DISKPART LIST DISK SELECT DISK # ← (Replace # with your USB disk number...

Random and Queuing Models using NS2 In this post, the readers may learn how to create random numbers for various distributions using different seeds Simulation of various queuing models like M/M/1 and M/D/1 13.1 Random Number Generation Random variables is an important concept in networks as the modelling of network traffic and other packet arrival times are mostly random models. Hence, there is a necessity to model such metrics in ns2 . NS2 supports various random models using different seed generations. Seeds are numbers that help generate random numbers. The seed number 0 indicates that the random number order changes every time the simulation is run. But other than 0, the order in which the random numbers are generated same. The following listing 13.1 shows the random number generation for various distributions. This listing will just tell you how to create random number generation for various distributions. For seeing the output, refer to listing 13.2 Listing 13.1 – Random Number ...