Fuzzy logic and cooperative hybrid least squares for improving network capacity and connectivity in high-density wireless networks

In limited resources systems, especially those having restricted capacity to handle high-volume transfer of information, congestion within networks becomes a major problem that results in a poor level of support, comprising impacts like losing packets and slow speed. In this article, we provide brand-new wireless sensing networking (WSN) densities and dispersion adaptable broadcasting algorithms depending on intelligence fuzzy theory. The suggested approach utilizes the Nearby Neighbour Distance approach to determine the network's geographical dispersion and then modifies the frequency of transmission for improved accessibility. The method precisely adjusts the conflicting window's dimensions to the networking volume and geographical dispersion to lessen packet conflicts. This study describes a method for using a fuzzy framework to regulate the Modification Router Advertisements (MRA) signal emission frequency. Numerous networking circumstances, including the variety of inputs or connection support, are captured by the fuzzy framework.