Optimizing Spectrum Usage in Dynamic Wireless Mesh Networks: A Cognitive Radio Approach

Adaptable topologies and dynamic node arrangements are essential for sustaining connectivity in wireless mesh networks and guaranteeing continuous internet access. Solving basic networking problems, such as the shortest path problem, requires the use of multiple techniques and algorithms. To improve packet transmission by utilizing optimal node selections to reduce loss and latency, this study uses Dijkstra's approach to determine the most effective paths inside the network. Moreover, the main problem with current wireless networks is the use of radio resources. The development of cognitive radio networks has emerged as a potential remedy to improve spectrum use. Allocating spectrum efficiently is essential to improving the performance of cognitive networks. This paper explores the potential integration of cognitive radio principles into wireless mesh networks, providing insights into spectrum optimization techniques to improve network dependability and efficiency.