Abstract
A smart factory network integrates various wireless networks to provide administrators with advanced factory network management capabilities and optimized services. Supporting smooth handoff management is an important issue in network architecture. Existing handoff management protocols are not sufficient to ensure handoff support in smart factories. This work was conducted to achieve the agility required by the smart factory network. The Smart Factory SDN-layer Handoff (SFSH) technique is proposed to guarantee Quality of Service (QoS) by supporting efficient handoff of devices in a smart factory. We proposes the SDN framework called SFSH for smart factory and a handover algorithm considering and the Received Signal Strength (RSS) and speed for SFSH. Through simple simulation, the SDN framework can flexibly cope with the conditions required by the smart factory, and it can be seen that the performance of SFSH considering RSS is improved over the existing handover process. SFSH uses the location and handoff signaling-delay information of devices in the factory to support mobility management and improve handoff performance in a wireless network environment. The sensitivity of the link layer and network layer is analyzed for handoff performance. Theoretical analysis shows that SFSH works better performance than other solutions.
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References
Akin S, Gursoy MC (2011) Performance analysis of cognitive radio systems under QoS constraints and channel uncertainty. IEEE Trans Wirel Commun 10(9):2883–2895. https://doi.org/10.1109/TWC.2011.062911.100743
Akyildiz IF, Wang W (2004) A predictive user mobility profile for wireless multimedia networks. IEEE/ACM Trans Netw 12(6):1021–1035. https://doi.org/10.1109/TNET.2004.838604
Akyildiz IF, Xie J, Mohanty S (2004) A survey on mobility management in next generation All-IP based wireless systems. IEEE Wirel Comm 11(4):16–28. https://doi.org/10.1109/MWC.2004.1325888
Austin MD, Stuber GL (1994) Velocity adaptive handoff algorithms for microcellular systems. IEEE Trans Vehic Technol 43(3):549–561. https://doi.org/10.1109/25.312791
Bilen T, Canberk B (2017) Handover management in software-defined ultra-dense 5G networks. IEEE Netw 31(4):49–55. https://doi.org/10.1109/MNET.2017.1600301
Cicconetti C, Lenzini L, Mingozzi E (2001) Quality of Service Support in IEEE 802.16 Networks. IEEE Netw 20(2):50–55. https://doi.org/10.1109/MNET.2006.1607896
Dave PN, Amberkar A, Gangurde L, Chanderki U (2019) A novel approach for queuing based handoff for increasing reliablity of mobile communication. In: 2019 1st international conference on innovations in information and communication technology (ICIICT). https://doi.org/10.1109/ICIICT1.2019.8741351
Duan X, Wang X (2015) Authentication handover and privacy protection in 5G hetnets using software-defined networking. IEEE Commun Mag 53(4):28–35. https://doi.org/10.1109/MCOM.2015.7081072
Elakkiya A, Selvaraj P (2018) QoS based IP mobility management scheme for the next generation SDN-LTE network. In: 2018 2nd International Conference on Inventive Systems and Control(ICISC). https://doi.org/10.1109/ICISC.2018.8399029
Holtzman JM, Sampath A (1995) Adaptive averaging methodology for handoffs in cellular systems. IEEE Trans Vehic Technol 44(1):58–66. https://doi.org/10.1109/25.350270
Hsieh R, Zhou ZG, Seneviratne A (2003) S-MIP: a seamless handoff architecture for mobile IP. In: Proc. IEEE INFOCOM ’03. https://doi.org/10.1109/INFCOM.2003.1209200
Hu N, Steenkiste P (2003) Evaluation and characterization of available bandwidth probing techniques. IEEE J Sel Areas Comm 21(6):879–894. https://doi.org/10.1109/JSAC.2003.814505
Jararweh Y, Al-Ayyoub M, Darabseh A (2015) SDIoT: a software defined based internet of things framework. J Ambient Intell Human Comput 6:453–461. https://doi.org/10.1007/s12652-015-0290-y
Johnson DB, Perkins CE, Arkko J (2004) Mobility support in IPv6 EFT RFC 3775, USA
Kim J-A, Park DG, Jeong J (2019) Design and performance evaluation of cost-effective function-distributed mobility management scheme for software-defined smart factory networking. J Ambient Intell Human Comput 2019:1–17. https://doi.org/10.1007/s12652-019-01356-5
Lai K, Maker M (2000) Measuring link bandwidth using a deterministic model of packet delay. Proc ACM SIGCOMM 10(1145/347059):347557
Leu Fang-Yie, Tsai Kun-Lin, Lin Szu-Yin (2019) E-ANDSF-based base station selection scheme by using MLP in untrusted environments. IEEE Trans Industr Inf 15(10):5708–5714. https://doi.org/10.1109/TII.2019.2916335
Mohanty S (2005) VEPSD: velocity estimation using the PSD of the received signal envelope in next generation wireless systems. IEEE Trans Wirel Comm 4(6):2655–2660. https://doi.org/10.1109/TWC.2005.858300
Mohanty S, Akyildiz IF (2004) An accurate velocity estimation algorithm for resource management in next generation wireless systems 2004. In: 43rd IEEE Conference on Decision and Control(CDC). https://doi.org/10.1109/cdc.2004.1428896
Qiu Y, Ma M (2016) A mutual authentication and key establishment scheme for M2M communication in 6LoWPAN networks. IEEE Trans Ind Inf 12(6):2074–2085. https://doi.org/10.1109/TII.2016.2604681
Stemmm M, Katz RH (1998) Vertical handoffs in wireless overlay networks. Mobile Netw Appl 3(4):335–350. https://doi.org/10.1023/A:1019197320544
Stoer J (2002) Introduction to numerical analysis. Cambridge University Press, Cambridge
Stuber GL (2011) Principles of mobile communication. Kluwer Academic, Dordrecht
Yang M, Huang Y (2018) OVS-DPDK with TSO feature running under docker. In: 2018 international conference on information networking (ICOIN). https://doi.org/10.1109/ICOIN.2018.8343123
Yousaf FZ, Bredel M, Schaller S, Schneider F (2017) NFV and SDN–Key technology enablers for 5G networks. IEEE J Sel Areas Commun 35(11):2468–2478. https://doi.org/10.1109/JSAC.2017.2760418
Zaidi Z, Friderikos V, Yousaf Z, Fletcher S, Dohler M, Aghvami H (2018) Will SDN Be Part of 5G? IEEE Commun Surv Tutor 20(4):3220–3258. https://doi.org/10.1109/COMST.2018.2836315
Zhang N, Holtzman JM (1997) Analysis of handoff algorithms using both AMAGolute and relative measurements. IEEE Trans Vehic Technol 45(1):174–179. https://doi.org/10.1109/25.481835
Zhang H, Tang F (2019) Efficient flow detection and scheduling for SDN-based big data centers. J Ambient Intell Hum Comput 10(5):1915–1926. https://doi.org/10.1007/s12652-018-0783-6
Acknowledgements
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).
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Park, D.G., Oh, J.W. & Jeong, J. SFSH: a novel smart factory SDN-layer handoff scheme in 5G-enabled mobile networks. J Ambient Intell Human Comput 11, 5913–5925 (2020). https://doi.org/10.1007/s12652-020-02101-z
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DOI: https://doi.org/10.1007/s12652-020-02101-z