Dynamic Topology Reconstruction on Next Generation WLAN Using Spatial Reuse Gain by DBSCAN Clustering Algorithm

Abstract

The succeeding peers high density based WLAN set-up is seemingly appropriate for expansion drift in manufacturing wireless sensor-based networks. A spatial group-based multi-user full-duplex orthogonal frequency division multiple access (OFDMA) (GFDO) multiple access control (MAC) protocol was projected previously for the static topology with enhanced spatial reuse-gain since powercontrol technology decreases the signal coverage which also reduce cluster size, resulting in elimination of the overlapping area, minimize the occurring collisions. According to our research, we approached to build a dynamic topology with varying densities using the adaptive DBSCAN clustering technique that can maintain both power and increase signal range, while eliminating the overlapping areas as the nodes can now be mobile and densities of the network is balanced throughout the topology. The adaptive DBSCAN demonstrates work efficiency for groups with changed densities that can work significantly well for classifying clusters with varying-densities that achieve a successful efficiency rate for dataset where clusters have the constant density of data points, also significant attributes for this algorithm are noise cancelation.