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A Decision-Based Hybrid Proxy Mobile IPv6 Scheme for Better Resources Utilization

Habib Ullah Khan1,*, Anwar Hussain2, Shah Nazir2

1 Department of Accounting and Information Systems, College of Business and Economics Qatar University, Doha, Qatar
2 Department of Computer Science, University of Swabi, Anbar, KP, Pakistan

* Corresponding Author: Habib Ullah Khan. Email: email

Computers, Materials & Continua 2022, 73(3), 5151-5167. https://doi.org/10.32604/cmc.2022.030837

Abstract

Seamless mobility is always one of the major requirements of modern-day communication. In a heterogeneous and massive IoT environment, efficient network-based mobility protocol such as proxy mobile IPv6 (PMIPv6), is potentially a good candidate for efficient mobility as well as resource utilization efficiency. Several extensions are devised for performance in the research domain. However, a multi-criterion decision-based resource-efficient PMIPv6 extension is required to achieve efficiency when network resources are overloaded. In this research, a multi-criterion decision-based PMIPv6 scheme is devised that provides better performance when the Local Mobility Anchor (LMA) or Mobile Access Gateway (MAG) is overloaded. The objective is achieved by monitoring the load status of MAG or LMA and based on their status, the proposed scheme adapts itself to provide seamless mobility in addition to optimal efficiency. The proposed scheme is compared with the existing LMA and MAG-based mobility management protocol extensions. Based on the analysis of the comparison, the obtained results prove that providing a decision-based PMIPv6 scheme is better for service continuity as well as optimal performance in the context of required buffering, handover efficiency, and necessary signaling cost.

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Cite This Article

H. U. Khan, A. Hussain and S. Nazir, "A decision-based hybrid proxy mobile ipv6 scheme for better resources utilization," Computers, Materials & Continua, vol. 73, no.3, pp. 5151–5167, 2022. https://doi.org/10.32604/cmc.2022.030837



cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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