Using the bird flock algorithm as a technique to access wireless networks
Keywords:
Wireless networks, Bird flock algorithm, Node-RED programming, Windows 10Abstract
Wired and wireless networks are an effective means of exchanging data, as they reduce the time of transfer and exchange compared to traditional methods, in addition to reducing the effort and cost required for that. Wireless networks have the greatest advantage of the two types because they provide an additional feature, which is roaming, and these networks suffer from many problems, including interference and the presence of obstacles in front of them, which makes them need more follow-up to obtain better services. This project aims to identify shortcomings in the places where wireless network access devices are placed, and then propose a modern method based on artificial intelligence techniques inspired by nature to reduce the problem of the signal not being distributed optimally inside buildings. Through the results obtained, it became clear that the Particle Swarm Optimization (PSO) method is one of the important methods used to find the optimal place to place an access point for wireless local networks, as this method is characterized by ease of use, speed of implementation, and improving the quality of service inside buildings.
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