Research Article
Investigation on FOG Computing for 5G- Enabled Software Defined Multicast Networks
@ARTICLE{10.4108/eai.3-9-2019.159948, author={N. N. Eya and G. A Oguntala and R. A. Abd-Alhameed}, title={Investigation on FOG Computing for 5G- Enabled Software Defined Multicast Networks}, journal={EAI Endorsed Transactions on Mobile Communications and Applications}, volume={5}, number={16}, publisher={EAI}, journal_a={MCA}, year={2019}, month={1}, keywords={5G, software-defined networking (SDN), mobile multicast environment, mobile edge computing}, doi={10.4108/eai.3-9-2019.159948} }
- N. N. Eya
G. A Oguntala
R. A. Abd-Alhameed
Year: 2019
Investigation on FOG Computing for 5G- Enabled Software Defined Multicast Networks
MCA
EAI
DOI: 10.4108/eai.3-9-2019.159948
Abstract
5G enabling technologies and applications has been proposed in Multicast or group communication to solve the challenge of increasing demand of mobile data traffic. One of the key 5G technologies that would address the increase in mobile traffic is network densification, poses a challenge to group communication. With group communication, several groups are formed into clusters and this technique promises to improve various services in 5G network technology by way of efficient management. As a result, this paper proposes a 5G-enabled software defined multicast networks (5G-SDMNs), where software-defined networking (SDN) is exploited to dynamically manage multicast groups in 5G and mobile multicast environment. Also, mobile edge computing (MEC) is exploited to strengthen network control of 5G-SDMN. The combination of SDN and MEC ensures a flexible, cheap, programmable, and manageable network architecture is proposed for 5G-SDMN. This architecture promises a simplified network management, an improved resource management and a sustainable network development. This article also presents a case study of multicast cloud computing and enumerates the advantages of 5G-SDMN. In the end, open issues in 5G-SDVN are identify and discuss.
Copyright © 2019 N.N. Eya et al., licensed to EAI. This is an open access article distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/3.0/), which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.