A Seamless and efficient information flow between different mobile device is an essential and demandingissue in the development towardswireless networks. During the handover assessment phase, the mobile device finds outs which network it should connect. Then the mobile device switched from the existing network to the new network to perform seamless data transmission. In the handover process, the delay is the major parameter to minimize the data loss. In order to minimize the handover delay and improve seamless data delivery, Grid Multinomial Regression and Firefly Ranking Optimization Based Handover Decision Making (GMRFRO-HDM) modelis introduced in PAN. The GMRFRO-HDM model effectively performs the handover and minimizes the delay. In GMRFRO-HDM model, the total network is considered as a grid where the numbers of mobile nodes are distributed. Initially, the signal strength of each node in the grid is calculated. Multinomial Regression function analyzes the signal strength of the mobile nodes and classifies the total network into two or more possible outcomes such as weak grid, strong grid and very strong grid with minimum and the maximum threshold value. After that, the nodes with weak signal strength are selected for the handover process. The firefly ranking optimization is applied for finding the nearest base station based on the objective function (i.e. distance). The distance from the weak signal strength of the mobile node and the available base station is computed using the cosine rule. After that, the base stations are ranked based on their distances. Finally, the mobile switching center finds the optimal base station with minimum distance. The mobile switching center reserves the channel in that base station to change the mobile node into the new base station without losing connectivity. Simulation of GMRFRO-HDM model and existing methods are carried out with different parameters such as handover delay, seamless data delivery rate and data packet loss rate. The results observethat the GMRFRO-HDM model increases the seamless data delivery and minimize the handover latency and data loss compared to state-of-the-art methods.
Volume 11 | 08-Special Issue
Pages: 2490-2503