Low Cost Handover using Enhanced Ant Lion Optimizer (EALO) for 5G networks

Authors

  • 1Rashad T. S. Research Scholar, Dept of EECE, GIT,GITAM (Deemed to be University),Visakhapatnam,A.P,India.
  • A. Ch. Sudhir Asst. Professor, Dept. Of EECE, GIT,GITAM (Deemed to be University), Visakhapatnam,A.P,India

Keywords:

algorithm, technique, operations, time-to-trigger (TTT), antlions

Abstract

In 5G networks, the Handover (HO) operations may result in increased cost and latency. In order to overcome these issues, in this paper, a low latency and low cost optimized HO technique in 5G network is proposed. In this technique, Enhanced Ant Lion Optimizer (EALO) algorithm is used with ants and antlions as search agents. The updated position of antlions in ALO algorithm is enhanced by applying the Whale Optimization Algorithm (WOA) algorithm. The fitness function of EALO is formed using the key performance indicator (KPI) function which is derived from the Loss and Gain functions. The loss function is derived from the HO cost and HO delay whereas the gain function is derived from coverage probability (CP) and average throughput. Then the fitness function is maximized by optimizing the HO margin (HOM) and time-to-trigger (TTT) parameters. By simulation results, we show that the proposed technique reduces cost and latency.

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References

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Published

12.07.2023

How to Cite

T. S., 1Rashad ., & Sudhir, A. C. . (2023). Low Cost Handover using Enhanced Ant Lion Optimizer (EALO) for 5G networks. International Journal of Intelligent Systems and Applications in Engineering, 11(9s), 540–549. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/3190

Issue

Vol. 11 No. 9s (2023)

Section

Research Article

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