Development of an Adaptive Hybrid Algorithm for Congestion Control and Bandwidth Utilization in a Mobile Network
This research work developed an adaptive algorithm that hybridizes call admission control, bandwidth degradation and load balancing congestion control techniques to improve bandwidth utilization and minimize congestion in mobile network. The developed hybrid algorithm is implemented using NetBeans IDE 6.9.1 platform to obtain performance metrics of blocking probability of new calls and dropping probability of handover calls. The simulation results obtained from the model recorded the New Call Blocking Probability (NCBP) of 0.003 and Handover Call Droppping Probability (HCDP) of 0.001. The developed model’s NCBP was better than the ITU-T benchmark standard of 0.01 and matched that of the HCDP of 0.001. Also, real life results from measured data of Etisalat mobile network and simulated data results of the developed model were validated using statistical Welch’s TTest. The probability levels (p-values) of 0.034 for NCBP and 0.001 for HCDP obtained from T-Test, which are less than 0.05 imply that NCBP and HCDP reject the null hypothesis. Hence, there is significant difference between the developed hybrid model and existing model from Etisalat mobile network at 95% confidence level, which also indicates that the developed model has better performance.