Author
Listed:
- 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)
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.
Suggested Citation
Keshav Jha & Akhil Gupta & Abdulatif Alabdulatif & Sudeep Tanwar & Calin Ovidiu Safirescu & Traian Candin Mihaltan, 2022.
"CSVAG : Optimizing Vertical Handoff Using Hybrid Cuckoo Search and Genetic Algorithm-Based Approaches,"
Sustainability, MDPI, vol. 14(14), pages 1-16, July.
Handle:
RePEc:gam:jsusta:v:14:y:2022:i:14:p:8547-:d:861364
Download full text from publisher
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:14:y:2022:i:14:p:8547-:d:861364. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.