Optimizing Vertical Handover Using Multi-Criteria Decision Making in Heterogeneous Networks

Document Type : Research Paper

Authors

1 Research Scholar, Department of Computer Science & Engineering, Sharda School of Engineering & Technology, Sharda University, Greater Noida INDIA.

2 Prof., Department of Computer Science & Engineering, Sharda School of Engineering & Technology, Sharda University, Greater Noida INDIA.

3 Prof., Amity University in Tashkent Uzbekistan.

10.22059/jitm.2025.102922

Abstract

Vertical handover (VHO) in heterogeneous wireless networks is essential to keep users continuously connected and also to guarantee that the Quality of Service (QoS) of mobile communications is adequate. The focus of this paper is to apply various Multi-Criteria Decision Making (MCDM) tools to model a comprehensive VHO decision-making framework. This proposed methodology brings together more than one parameter of a given networking environment, such as signal intensity, QoS, and energy requirements, into one or more decision models. Using analytical methods such as the Analytical Hierarchy Process (AHP) for criteria weighting, we continuously optimize network conditions, thereby enhancing the efficiency and reliability of Vertical Handover (VHO). Several experiments were made to test the efficiency of the given MCDM-based VHO algorithm. The performance evaluation of the proposed method reveals superior handover performances in terms of success rates, less latency, and better QoS as compared to other VHO techniques. In addition, our research conclusion implies that integrating MCDM into the VHO decision-making will not only facilitate the network resource optimization but also improve the user satisfaction in the heterogeneous networking domain. This paper, in the wireless communications area, makes a significant contribution by presenting a powerful framework for DNS and VHO. The subsequent studies will be directed towards improving this algorithm for real-time applications and experimentation in the new generation networks, such as 5G Networks.

Keywords

References

Adamantia Stamou, Dimitriou, N., Kimon Kontovasilis, & Symeon Papavassiliou. (2019). Autonomic Handover Management for Heterogeneous Networks in a Future Internet Context: A Survey. IEEE Communications Surveys & Tutorials, 21(4), 3274–3297. https://doi.org/10.1109/comst.2019.2916188
Akash Gandhar, Gupta, K., Aman Kumar Pandey, & Raj, D. (2024). Fraud Detection Using Machine Learning and Deep Learning. SN Computer Science/SN Computer Science, 5(5). https://doi.org/10.1007/s42979-024-02772-x
Akash Gandhar, Gupta, K., Aman Kumar Pandey, & Raj, D. (2024b). Correction to: Fraud Detection Using Machine Learning and Deep Learning. SN Computer Science, 5(7). https://doi.org/10.1007/s42979-024-03236-y
Ali, K. B., Zarai, F., Khdhir, R., Obaidat, M. S., & Kamoun, L. (2018). QoS Aware Predictive Radio Resource Management Approach Based on MIH Protocol. IEEE Systems Journal, 12(2), 1862–1873. https://doi.org/10.1109/jsyst.2016.2616650
Ali, S., Nand, P. and Tiwari, S. (2022). Detection of Wormhole Attack in Vehicular Ad-hoc Network over Real Map using Machine Learning Approach with Preventive Scheme. Journal of Information Technology Management, 14(Special Issue: Security and Resource Management challenges for Internet of Things), 159-179. doi: 10.22059/jitm.2022.86658
Ali, T., & Saquib, M. (2013). Analysis of an Instantaneous Packet Loss Based Vertical Handover Algorithm for Heterogeneous Wireless Networks. IEEE Transactions on Mobile Computing, 13(5), 992–1006. https://doi.org/10.1109/tmc.2013.42
Ather, D., Singh, R., & Shukla, R. S. (2022). Routing Protocol for Heterogeneous Networks in Vehicular Ad-Hoc Network for Larger Coverage Area. Engineered Science, Volume 17 (March 2022) (0), 266–273. https://www.espublisher.com/journals/articledetails/605
Duong, T. M., & Kwon, S. (2020). Vertical Handover Analysis for Randomly Deployed Small Cells in Heterogeneous Networks. IEEE Transactions on Wireless Communications, 19(4), 2282–2292. https://doi.org/10.1109/twc.2019.2963829
Fernandes, S., & Karmouch, A. (2012). Vertical Mobility Management Architectures in Wireless Networks: A Comprehensive Survey and Future Directions. IEEE Communications Surveys & Tutorials, 14(1), 45–63. https://doi.org/10.1109/surv.2011.082010.00099
He, W., Li, J., Yan, Z., & Chen, F. (2022). Bidirectional Human–Robot Bimanual Handover of Big Planar Object with Vertical Posture. IEEE Transactions on Automation Science and Engineering, 19(2), 1180–1191. https://doi.org/10.1109/tase.2020.3043480
Khan, T., Singh, K., Gupta, S. and Manjul, M. (2022). Multi Trust-based Secure Trust Model for WSNs. Journal of Information Technology Management, 14(Special Issue: Security and Resource Management challenges for Internet of Things), 147-158. doi: 10.22059/jitm.2022.86657
Lemic, F., Behboodi, A., Famaey, J., & Mathar, R. (2019). Location-based Discovery and Vertical Handover in Heterogeneous Low-Power Wide-Area Networks. IEEE Internet of Things Journal, 1–1. https://doi.org/10.1109/jiot.2019.2935804
Liang, S., Zhang, Y., Fan, B., & Tian, H. (2017). Multi-Attribute Vertical Handover Decision-Making Algorithm in a Hybrid VLC-Femto System. IEEE Communications Letters, 21(7), 1521–1524. https://doi.org/10.1109/lcomm.2017.2654252
Marquez-Barja, J. M., Ahmadi, H., Tornell, S. M., Calafate, C. T., Cano, J.-C., Manzoni, P., & DaSilva, L. A. (2015). Breaking the Vehicular Wireless Communications Barriers: Vertical Handover Techniques for Heterogeneous Networks. IEEE Transactions on Vehicular Technology, 64(12), 5878–5890. https://doi.org/10.1109/tvt.2014.2386911
Moons, B., Karagaac, A., De Poorter, E., & Hoebeke, J. (2019). Efficient Vertical Handover in Heterogeneous Low Power Wide Area Networks. IEEE Internet of Things Journal, 1–1. https://doi.org/10.1109/jiot.2019.2961950
Pan, Z., Saito, M., Liu, J., & Shimamoto, S. (2019). $P$ -Persistent Energy-Aware Handover Decisions Employing RF Fingerprint for Adaptive-Sized Heterogeneous Cellular Networks. IEEE Access, 7, 52929–52944. https://doi.org/10.1109/access.2019.2912328
Raj, D., & Anil Kumar Sagar. (2023). Vehicular Ad-hoc Networks: A Review on Applications and Security. Communications in Computer and Information Science, 241–255. https://doi.org/10.1007/978-3-031-45124-9_19
Raj, D., Ather, D., & Sagar, A. K. (2024). Advancing Vehicular Ad-Hoc Network Solutions in Emerging Economies: A Comparative Analysis of V2V Protocols Through Simulation Studies. SN Computer Science, 5(8). https://doi.org/10.1007/s42979-024-03411-1
Ramezani, K., Sithirasenan, E., & Su, K. (2016). Formal Security Analysis of EAP-ERP Using Casper. IEEE Access, 4, 383–396. https://doi.org/10.1109/access.2016.2517179
Ren, Y., Li, Y., & Qi, C. (2017). Handover Rate Analysis for K-Tier Heterogeneous Cellular Networks with General Path-Loss Exponents. IEEE Communications Letters, 21(8), 1863–1866. https://doi.org/10.1109/lcomm.2017.2702180
Santi, S., De Koninck, T., Daneels, G., Lemic, F., & Famaey, J. (2021). Location-Based Vertical Handovers in Wi-Fi Networks with IEEE 802.11ah. IEEE Access, 9, 54389–54400. https://doi.org/10.1109/access.2021.3071639
Sarma, A., Chakraborty, S., & Nandi, S. (2016). Deciding Handover Points Based on Context-Aware Load Balancing in a WiFi-WiMAX Heterogeneous Network Environment. IEEE Transactions on Vehicular Technology, 65(1), 348–357. https://doi.org/10.1109/tvt.2015.2394371
Song, Y., Kong, P.-Y., & Han, Y. (2014). Power-Optimized Vertical Handover Scheme for Heterogeneous Wireless Networks. IEEE Communications Letters, 18(2), 277–280. https://doi.org/10.1109/lcomm.2013.120713.132279
Tamea, G., Biagi, M., & Cusani, R. (2011). Soft Multi-Criteria Decision Algorithm for Vertical Handover in Heterogeneous Networks. IEEE Communications Letters, 15(11), 1215–1217. https://doi.org/10.1109/lcomm.2011.090911.111537
Wang, F., Wang, Z., Qian, C., Dai, L., & Yang, Z. (2015). Efficient Vertical Handover Scheme for Heterogeneous VLC-RF Systems. Journal of Optical Communications and Networking, 7(12), 1172. https://doi.org/10.1364/jocn.7.001172
Zeshan, A., & Baykas, T. (2021). Location Aware Vertical Handover in a VLC/WLAN Hybrid Network. IEEE Access, 1–1. https://doi.org/10.1109/access.2021.3113286
Zhang, X., Xie, Y., Cui, Y., Cui, Q., & Tao, X. (2018). Multi-Slot Coverage Probability and SINR-Based Handover Rate Analysis for Mobile User in Hetnet. IEEE Access, 6, 17868–17879. https://doi.org/10.1109/access.2018.2821761
Journal of Information Technology Management
Volume 17, Special Issue
2025
Pages 63-86

Files

Share

How to cite

Statistics