Virtualization Framework for Securing Cloud to 5G Networks Using Ant Lion Optimization Constructed KGMO for Mobility Supervision

Due to the ever-increasing demands of mobile data traffic, network densification is recognised as a crucial factor in the evolution of cellular networks. Ultra-dense heterogeneous network (UDHN) is one potential solution to meet the needs of growing data traffic in 5G. Dense networks capable of delivering high data speeds in congested urban areas are a hallmark of the future 5G network. Consequently, when more tiny cells are deployed, interference and handovers (HOs) grow in heterogeneous networks. Mobility management is essential in this scenario to keep the user's connection stable while they move between cells. An optimization-based mobility management technique for improving network performance is provided in this research, combining Kinetic Gas Molecular Optimisation (KGMO) with Ant Lion Optimization (ALO). At first, the kinetic energy is used to determine the locations and velocities of the KGMO particles, such gas molecules. Hybridization of KGMO arises from KGMO's faster convergence in high-dimensional space. ALO is utilised to solve these problems with KGMO by changing its inertia mass. Throughput, delay, and HO are measured in a simulated network constructed in a MATLAB environment, and the proposed KGMO-ALO is compared to other common meta-heuristic approaches like Seagull and monarch butterfly optimisations.