CSVAG: Optimizing Vertical Handoff Using Hybrid Cuckoo Search and Genetic Algorithm-Based Approaches

Keshav Jha, Akhil Gupta, Abdulatif Alabdulatif, Sudeep Tanwar, Calin Ovidiu Safirescu and Traian Candin Mihaltan
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Keshav Jha: School of Electronics and Electrical Engineering, Lovely Professional University, Phagwara 144001, Punjab, India
Akhil Gupta: School of Electronics and Electrical Engineering, Lovely Professional University, Phagwara 144001, Punjab, India
Abdulatif Alabdulatif: Department of Computer Science, College of Computer, Qassim University, Buraydah 52571, Saudi Arabia
Sudeep Tanwar: Department of Computer Science and Engineering, Institute of Technology, Nirma University, Ahmedabad 382481, Gujarat, India
Calin Ovidiu Safirescu: Environment Protection Department, Faculty of Agriculture, University of Agricultural Sciences and Veterinary Medicine Cluj-Napoca, Calea Mănăştur No. 3–5, 400372 Cluj-Napoca, Romania
Traian Candin Mihaltan: Faculty of Building Services Cluj-Napoca, Technical University of Cluj-Napoca, 400114 Cluj-Napoca, Romania

Sustainability, 2022, vol. 14, issue 14, 1-16

Abstract: One of the primary challenges that wireless technology in the present generation is facing is always best connected (ABC) service. This is possible only when the wireless overlay networks follow a cooperative and coordinated process. Vertical handoff is one such process. Concerning this process, the main challenge is to develop algorithms that take care of optimal connection management with proper resource utilization for uninterrupted mobility. In this paper, we develop a new hybrid cuckoo search (CS) and genetic algorithm (GA) that maximizes the performance of heterogeneous wireless systems in terms of minimizing latency, handover failure probability, and enhancing the throughput. We focus on an optimized simulation framework to demonstrate the advantage of our hybrid model. It can be discerned from the simulation analysis that the proposed hybrid technique increases throughput by 17% and 8% compared to the cuckoo search and genetic algorithms applied individually. The performance of the proposed scheme is promising for applications wherein the handoff mechanisms have to be optimized to control frequent handoffs to further reduce the power consumption of user equipment.

Keywords: cuckoo search; genetic algorithm; service continuity; mobile node; heterogeneous wireless network (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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