Academic Journal

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

التفاصيل البيبلوغرافية
العنوان: CSVAG: Optimizing Vertical Handoff Using Hybrid Cuckoo Search and Genetic Algorithm-Based Approaches
المؤلفون: Keshav Jha, Akhil Gupta, Abdulatif Alabdulatif, Sudeep Tanwar, Calin Ovidiu Safirescu, Traian Candin Mihaltan
المصدر: Sustainability; Volume 14; Issue 14; Pages: 8547
بيانات النشر: Multidisciplinary Digital Publishing Institute
سنة النشر: 2022
المجموعة: MDPI Open Access Publishing
مصطلحات موضوعية: cuckoo search, genetic algorithm, service continuity, mobile node, heterogeneous wireless network
جغرافية الموضوع: agris
الوصف: 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.
نوع الوثيقة: text
وصف الملف: application/pdf
اللغة: English
Relation: https://dx.doi.org/10.3390/su14148547
DOI: 10.3390/su14148547
الاتاحة: https://doi.org/10.3390/su14148547
Rights: https://creativecommons.org/licenses/by/4.0/
رقم الانضمام: edsbas.B8E813E0
قاعدة البيانات: BASE