An adaptive optimized handover decision model for heterogeneous networks.
A heterogeneous network (HetNet), combining different technologies, is considered a promising solution adopted by several upcoming generations of mobile networks to keep up with the rapid development of mobile users' requirements while improving network performance. In this scenario, a vertical...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2023-01-01
|
| Series: | PLoS ONE |
| Online Access: | https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0294411&type=printable |
| _version_ | 1827587667759464448 |
|---|---|
| author | Nada Ahmed Ezz-Eldien Heba M Abdel-Atty Mahmoud I Abdalla Korany R Mahmoud Mohamed F Abdelkader |
| author_facet | Nada Ahmed Ezz-Eldien Heba M Abdel-Atty Mahmoud I Abdalla Korany R Mahmoud Mohamed F Abdelkader |
| author_sort | Nada Ahmed Ezz-Eldien |
| collection | DOAJ |
| description | A heterogeneous network (HetNet), combining different technologies, is considered a promising solution adopted by several upcoming generations of mobile networks to keep up with the rapid development of mobile users' requirements while improving network performance. In this scenario, a vertical handover (VHO) algorithm is responsible for ensuring the continuity of the ongoing user connection while moving within the coverage of the HetNet. Although various VHO algorithms were proposed, achieving efficient performance from both network and user perspectives remains challenging. This paper proposes an adaptive optimized vertical handover algorithm based on a multi-attribute decision-making (MADM) algorithm integrated with particle swarm optimization and gravitational search algorithm (PSOGSA) as a framework to implement the handover process. The algorithm includes three main ideas. Firstly, a network selection framework is proposed considering the most important criteria, including signal strength and other networks' attributes, along with users' characteristics regarding their mobility and service preferences. Secondly, two new parameters are introduced as control handover parameters named load factor (LF) and score priority (SP) to reduce unnecessary handovers and the overall HetNet power consumption while achieving balanced load distribution. Lastly, the desired aims are formulated as an objective function, then the PSOGSA algorithm is used to reach the optimal values of both LF and SP, which will be considered when executing the handover algorithm. The presented algorithm is simulated in a heterogeneous wireless network where the fifth-generation (5G) wireless technology coexists with other radio access networks to improve the evaluation field of the proposed algorithm. Also, the proposed algorithm's performance is evaluated in the case of using various MADM algorithms. The simulation results show that the proposed adaptive optimized approach attains efficient performance by decreasing unnecessary handovers by more than 40% and achieving much better load distribution by around 20% to 40%, outperforming traditional handover approaches. |
| first_indexed | 2024-03-09T00:21:21Z |
| format | Article |
| id | doaj.art-764e5543b3d34c1b9fcea8062f793b42 |
| institution | Directory Open Access Journal |
| issn | 1932-6203 |
| language | English |
| last_indexed | 2024-03-09T00:21:21Z |
| publishDate | 2023-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj.art-764e5543b3d34c1b9fcea8062f793b422023-12-12T05:34:21ZengPublic Library of Science (PLoS)PLoS ONE1932-62032023-01-011811e029441110.1371/journal.pone.0294411An adaptive optimized handover decision model for heterogeneous networks.Nada Ahmed Ezz-EldienHeba M Abdel-AttyMahmoud I AbdallaKorany R MahmoudMohamed F AbdelkaderA heterogeneous network (HetNet), combining different technologies, is considered a promising solution adopted by several upcoming generations of mobile networks to keep up with the rapid development of mobile users' requirements while improving network performance. In this scenario, a vertical handover (VHO) algorithm is responsible for ensuring the continuity of the ongoing user connection while moving within the coverage of the HetNet. Although various VHO algorithms were proposed, achieving efficient performance from both network and user perspectives remains challenging. This paper proposes an adaptive optimized vertical handover algorithm based on a multi-attribute decision-making (MADM) algorithm integrated with particle swarm optimization and gravitational search algorithm (PSOGSA) as a framework to implement the handover process. The algorithm includes three main ideas. Firstly, a network selection framework is proposed considering the most important criteria, including signal strength and other networks' attributes, along with users' characteristics regarding their mobility and service preferences. Secondly, two new parameters are introduced as control handover parameters named load factor (LF) and score priority (SP) to reduce unnecessary handovers and the overall HetNet power consumption while achieving balanced load distribution. Lastly, the desired aims are formulated as an objective function, then the PSOGSA algorithm is used to reach the optimal values of both LF and SP, which will be considered when executing the handover algorithm. The presented algorithm is simulated in a heterogeneous wireless network where the fifth-generation (5G) wireless technology coexists with other radio access networks to improve the evaluation field of the proposed algorithm. Also, the proposed algorithm's performance is evaluated in the case of using various MADM algorithms. The simulation results show that the proposed adaptive optimized approach attains efficient performance by decreasing unnecessary handovers by more than 40% and achieving much better load distribution by around 20% to 40%, outperforming traditional handover approaches.https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0294411&type=printable |
| spellingShingle | Nada Ahmed Ezz-Eldien Heba M Abdel-Atty Mahmoud I Abdalla Korany R Mahmoud Mohamed F Abdelkader An adaptive optimized handover decision model for heterogeneous networks. PLoS ONE |
| title | An adaptive optimized handover decision model for heterogeneous networks. |
| title_full | An adaptive optimized handover decision model for heterogeneous networks. |
| title_fullStr | An adaptive optimized handover decision model for heterogeneous networks. |
| title_full_unstemmed | An adaptive optimized handover decision model for heterogeneous networks. |
| title_short | An adaptive optimized handover decision model for heterogeneous networks. |
| title_sort | adaptive optimized handover decision model for heterogeneous networks |
| url | https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0294411&type=printable |
| work_keys_str_mv | AT nadaahmedezzeldien anadaptiveoptimizedhandoverdecisionmodelforheterogeneousnetworks AT hebamabdelatty anadaptiveoptimizedhandoverdecisionmodelforheterogeneousnetworks AT mahmoudiabdalla anadaptiveoptimizedhandoverdecisionmodelforheterogeneousnetworks AT koranyrmahmoud anadaptiveoptimizedhandoverdecisionmodelforheterogeneousnetworks AT mohamedfabdelkader anadaptiveoptimizedhandoverdecisionmodelforheterogeneousnetworks AT nadaahmedezzeldien adaptiveoptimizedhandoverdecisionmodelforheterogeneousnetworks AT hebamabdelatty adaptiveoptimizedhandoverdecisionmodelforheterogeneousnetworks AT mahmoudiabdalla adaptiveoptimizedhandoverdecisionmodelforheterogeneousnetworks AT koranyrmahmoud adaptiveoptimizedhandoverdecisionmodelforheterogeneousnetworks AT mohamedfabdelkader adaptiveoptimizedhandoverdecisionmodelforheterogeneousnetworks |