Radio Access Technology Selection in Heterogeneous Wireless Networks Using a Hybrid Fuzzy-Biogeography Based Optimization Technique

Abstract

Radio access technology (RAT) selection in heterogeneous wireless networks is a challenging task to achieve guaranteed quality of service (QoS). This paper proposes a hybrid methodology in order to accomplish QoS through high service connectivity and reliable network transparency in a wireless heterogeneous system. The proposed hybrid methodology integrates a non-homogenous biogeography based optimization (NHBBO) with a parallel fuzzy system (PFS). The PFSs are employed to determine the probability of RAT selection, which acts as an input to the NHBBO procedure. Thus the NHBBO decide over the defined multi-point decision making algorithm to select the best RAT in the given heterogeneous network. The key role of the proposed technique is to optimize the weight coefficients of multi-point decision making algorithm and ensure maximum user satisfaction ratio to select best RAT. Several experiments are carried out using the proposed NHBBO-PFS technique to demonstrate the effectiveness and robustness in producing solutions compared to a few existing methods for RAT selection in heterogeneous wireless networks.

Intelligent Technique for Seamless Vertical Handover in Vehicular Networks

“…The proposed study [29] hybrids a non-homogenous biogeography-based optimization (NHBBO) with a parallel fuzzy system (PFS). The PFSs are utilized to discover the probability of RAT selection, which acts as an input to the NHBBO procedure.…”

“…The M-BBO takes into consideration the best suited CN to switch to as well as tries to choose the right timing to leave the prior Point of Attachment to attach itself to a new Point of Attachment. The estimation of model utilized here is selected based on the features of the applied underlying networks.A few models have been explained in the past literature[27][28][29][30]. In addition, models are measured by utilizing the geolocation and the status of the information network as calculated by the vehicles and stored in the database of the MIIS.…”