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Design and Performance Analysis for Intelligent F-PMIPv6 Mobility Support for Smart Manufacturing

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Trends and Innovations in Information Systems and Technologies (WorldCIST 2020)

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Abstract

In this paper, we propose a new mobility management network called i-FP, which will be used for smart factories. i-FP was created to address existing local mobility management issues in legacy frameworks. To allow MNs (Mobile Node) to move from one domain to another, i-FP uses the three network entities of LFA (Local Factory Anchor), FAG (Factory Access Gateway), and MN as an extension concept of the PMIPv6. In i-FP, the three network entities can reduce the handover latency of the MN. In addition, i-FP uses an IP header swapping mechanism to avoid traffic overhead and improve network throughput. To evaluate the performance of i-FP, we measure and evaluate the three methods by measuring the new frameworks i-FP, HMIPv6 and PMIPv6, which are legacy protocols for local mobility management. Through the entire analysis, i-FP shows superior performance to other network methods used in smart factories.

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Acknowledgment

This research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (NRF-2017R1A6A3A11035613). This research was supported by the MSIT(Ministry of Science and ICT), Korea, under the ITRC(Information Technology Research Center) support program (IITP-2020-2018-0-01417) supervised by the IITP (Institute for Information & communications Technology Promotion). This work was supported by the Industrial Cluster Program funded by the Ministry of Trade, Industry and Energy (MOTIE, Korea) and the Korea Insdustrial Complex Corporation [Project Number: SKN19ED].

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Correspondence to Jongpil Jeong .

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Park, B.J., Jeong, J. (2020). Design and Performance Analysis for Intelligent F-PMIPv6 Mobility Support for Smart Manufacturing. In: Rocha, Á., Adeli, H., Reis, L., Costanzo, S., Orovic, I., Moreira, F. (eds) Trends and Innovations in Information Systems and Technologies. WorldCIST 2020. Advances in Intelligent Systems and Computing, vol 1160. Springer, Cham. https://doi.org/10.1007/978-3-030-45691-7_33

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