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Network Mobility Management Challenges, Directions, and Solutions: An Architectural Perspective

Al-Khalidi, Mohammed; Al-Zaidi, Rabab; Hammoudeh, Mohammad

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Authors

Mohammed Al-Khalidi

Mohammad Hammoudeh



Abstract

Efficient mobility management solutions are essential to provide users with seamless connectivity and session continuity during movement. However, user mobility was not envisaged as one of the early Internet’s use cases due to the early adoption of destination based routing and the assumption that end-nodes are static. This has become a critical hinder for providing efficient mobility support. This paper presents the challenges, drivers, and solutions that aim to overcome the drawbacks of current mobility management approaches. Furthermore, it introduces a promising solution that builds on emerging path-based forwarding architectures that identify network links rather than end nodes. Delivery path information is stored inside the packet while forwarding is achieved by performing a simple set membership test rather than the current destination-based routing approach. Mobility management in these architectures simply requires partial recomputation of the delivery path allowing for efficient mobility support over an optimal path. Evaluation results show significant cost savings in terms of delivery paths and end-to-end packet delay when using a path forwarding architecture.

Citation

Al-Khalidi, M., Al-Zaidi, R., & Hammoudeh, M. (in press). Network Mobility Management Challenges, Directions, and Solutions: An Architectural Perspective. Electronics, 11(17), 2696. https://doi.org/10.3390/electronics11172696

Journal Article Type Article
Acceptance Date Aug 24, 2022
Online Publication Date Aug 28, 2022
Deposit Date Nov 28, 2023
Publicly Available Date Nov 29, 2023
Journal Electronics
Publisher MDPI
Peer Reviewed Peer Reviewed
Volume 11
Issue 17
Pages 2696
DOI https://doi.org/10.3390/electronics11172696
Keywords Electrical and Electronic Engineering; Computer Networks and Communications; Hardware and Architecture; Signal Processing; Control and Systems Engineering

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