You can think of a material property like a wall. If you want to protect a wall from someone building a house on top of it, you build a roof. The same thing goes for RFID systems. We’ve already talked about how they are typically placed out of sight or near walls, doors, and tables.
Let’s say you’re in a store, and you know the door is there. You already know the entrance way is clear, so why do you need to consider the door? Maybe the door is supposed to open on its own at this point. Or maybe the door is supposed to close. Either way, we have an Anti-collision Algorithm for RFID technology.
A door that opens automatically when it’s given an electronic code is a door that uses high frequency sound waves to create an electric charge within the door. The electric charge then creates a small electrical bump that causes the door to close and stay closed.
You don’t want to be using a door which doesn’t do anything for you in either of these cases. To protect the user from bumping into the RFID reader, most of the time the alarm system will close automatically when the door closes, causing the alarm system to remain off and out of sight. Using an Anti-collision Algorithm for RFID Technology, we can prevent the RFID reader from inadvertently triggering the alarm when it should be off. To use this algorithm, first select the room you would like to monitor, and then find the map tab in MATLAB, on the main menu bar. Then, click on Map and click on Room View.
Here, you’ll be provided with information like the visible area, floor area, and number of inhabitants, which can be found in MATLAB Assignment Help. Once you’ve selected your room, you’ll have the option to mark certain points of interest.
This means you can mark a specific direction, a specific door, a specific room, etc. Using these options, you can determine the places where potential damage could occur. Now, if you’re ready to go, click on the Point of Interest icon and click on the Room View tab. On the next screen, make sure you set the start point to somewhere close to the middle of the room.
When you’re ready to select the points you want to focus on, you can simply click on them. On the next screen, select the name of the point of interest. It is also possible to display the name of the selected points, but it would be best to keep the names blank. If you would like to save the points as a list, select ‘Labeled’.
Once you’re done labeling the points, you’ll see the details on the right side of the screen. There will be several fields here. The last one is the one you need, and it’s the location of the precise points of interest you were able to find.
You will also need to enter the specific parameters like the coordinates of the point you’ve marked, the distance, and whether or not the points have already been explored. Click the ‘Mark’ button and then save the points. Your list should now be ready to be analyzed in MATLAB Assignment Help.
Thanks to Matt Chruzik, you can access this MATLAB assignment help which explains these specific methods and more in detail. If you’d like, you can purchase his book to learn more in-depth details.