KSII Transactions on Internet and Information Systems (TIIS)

Korean Society for Internet Information (한국인터넷정보학회)
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An Efficient Software Defined Data Transmission Scheme based on Mobile Edge Computing for the Massive IoT Environment

  • Kim, EunGyeong (Dept. of Computer Science & Engineering, Soonchunhyang University) ;
  • Kim, Seokhoon (Dept. of Computer Software Engineering, Soonchunhyang University)
  • Received : 2017.09.29
  • Accepted : 2018.02.13
  • Published : 2018.02.28
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Abstract

This paper presents a novel and efficient data transmission scheme based on mobile edge computing for the massive IoT environments which should support various type of services and devices. Based on an accurate and precise synchronization process, it maximizes data transmission throughput, and consistently maintains a flow's latency. To this end, the proposed efficient software defined data transmission scheme (ESD-DTS) configures and utilizes synchronization zones in accordance with the 4 usage cases, which are end node-to-end node (EN-EN), end node-to-cloud network (EN-CN), end node-to-Internet node (EN-IN), and edge node-to-core node (EdN-CN); and it transmit the data by the required service attributes, which are divided into 3 groups (low-end group, medium-end group, and high-end group). In addition, the ESD-DTS provides a specific data transmission method, which is operated by a buffer threshold value, for the low-end group, and it effectively accommodates massive IT devices. By doing this, the proposed scheme not only supports a high, medium, and low quality of service, but also is complied with various 5G usage scenarios. The essential difference between the previous and the proposed scheme is that the existing schemes are used to handle each packet only to provide high quality and bandwidth, whereas the proposed scheme introduces synchronization zones for various type of services to manage the efficiency of each service flow. Performance evaluations show that the proposed scheme outperforms the previous schemes in terms of throughput, control message overhead, and latency. Therefore, the proposed ESD-DTS is very suitable for upcoming 5G networks in a variety of massive IoT environments with supporting mobile edge computing (MEC).

Keywords

References

  1. Ke Zhang, Yuming Mao, Supeng Leng, Quanxin Zhao, Longjiang Li, Xin Peng, Li Pan, Sabita Maharjan, and Yan Zhang, "Energy-Efficient Offloading for Mobile Edge Computing in 5G Heterogeneous Networks," IEEE ACCESS, Vol. 4, pp. 5896-5907, August, 2016. https://doi.org/10.1109/ACCESS.2016.2597169
  2. Carlo Vallati, Antonio Virdis, Enzo Mingozzi, and Giovanni Stea, "Mobile-Edge Computing Come Home Connecting things in future smart homes using LTE device-to-device communications," IEEE CONSUMER ELECTRONICS MAGAZINE, Vol. 5, Issue 4, pp. 77-83, September, 2016. https://doi.org/10.1109/MCE.2016.2590100
  3. Dario Sabella, Alessandro Vaillant, Pekka Kuure, Uwe Rauschenbach, and Fabio Giust, "Mobile-Edge Computing Architecture: The role of MEC in the Internet of Things," IEEE CONSUMER ELECTRONICS MAGAZINE, Vol. 5, Issue 4, pp. 84-91, September, 2016. https://doi.org/10.1109/MCE.2016.2590118
  4. Stefania Sardellitti, Gesualdo Scutari, and Sergio Barbarossa, "Joint Optimization of Radio and Computational Resources for Multicell Mobile-Edge Computing," IEEE Transactions on Signal and Information Processing over Networks, Vol. 1, Issue 2, pp. 89-103, June, 2015. https://doi.org/10.1109/TSIPN.2015.2448520
  5. Sherif Abdelwahab, Bechir Hamdaoui, Mohsen Guizani, and Taieb Znati, "Replisom: Disciplined Tiny Memory Replication for Massive IoT Devices in LTE Edge Cloud," IEEE Internet of Things Journal, Vol. 3, Issue 3, pp. 327-338, June, 2016. https://doi.org/10.1109/JIOT.2015.2497263
  6. Yuli Tang, Yao Hu, and Lianming Zhang, "A Classification-Based Virtual Machine Placement Algorithm in Mobile Cloud Computing," KSII Transactions on Internet and Information Systems, Vol. 10, No. 5, pp. 1998-2014, May, 2016. https://doi.org/10.3837/tiis.2016.05.003
  7. Seokhoon Kim, Hangki Joh, Seungjun Choi, and Intae Ryoo, "Energy Efficient MAC Scheme for Wireless Sensor Networks with High-Dimensional Data Aggregate," Mathematical Problems in Engineering, Vol. 2015, pp. 1-13, 2015.
  8. Raul Munoz, Josep Mangues-Bafalluy, Ricard Vilalta, Christos Verikoukis, Jesus Alonso-Zarate, Nikolaos Bartzoudis, Apostolos Georgiadis, Miquel Payaro, Ana Perez-Neira, Ramon Casellas, Ricardo Martinez, Jose Nunez-Martinez, Manuel Requena Esteso, David Pubill, Oriol Font-Bach, Pol Henarejos, Jordi Serra, and Francisco Vazquez-Gallego, "The CTTC 5G End-to-End Experimental Platform : Integrating Heterogeneous Wireless/Optical Networks, Distributed Cloud, and IoT Devices," IEEE Vehicular Technology Magazine, Vol. 11, Issue 1, pp. 50-63, March, 2016. https://doi.org/10.1109/MVT.2015.2508320
  9. Jose Oscar Fajardo, Ianire Taboada, and Fidel Liberal, "Improving content delivery efficiency through multi-layer mobile edge adaptation," IEEE Network, Vol. 29, Issue 6, pp. 40-46, 2015. https://doi.org/10.1109/MNET.2015.7340423
  10. Kyunglag Kwon, Hansaem Park, Sungwoo Jung, Jeungmin Lee, and In-Jeong Chung, "Dynamic Scheduling Method for Cooperative Resource Sharing in Mobile Cloud Computing Environments," KSII Transactions on Internet and Information Systems, Vol. 10, No. 2, pp. 484-503, February, 2016. https://doi.org/10.3837/tiis.2016.02.003
  11. Mohammad Mehedi Hassan, Biao Song, Ahmad Almogren, M. Shamim Hossain, Atif Alamri, Mohammed Alnuem, Muhammad Mostafa Monowar, M., and Anwar Hossain, "Efficient Virtual Machine Resource Management for Media Cloud Computing," KSII Transactions on Internet and Information Systems, Vol. 8, No. 5, pp. 1567-1587, May, 2014. https://doi.org/10.3837/tiis.2014.05.004
  12. Intae Ryoo, Wonshik Na, and Seokhoon Kim, "Information exchange architecture based on software defined networking for cooperative intelligent transportation systems," Cluster Computing, Vol. 18, No. 2, pp. 771-782, June, 2015. https://doi.org/10.1007/s10586-015-0442-z
  13. Seokhoon Kim, and Wonshik Na, "Safe Data Transmission Architecture Based on Cloud for Internet of Things," Wireless Personal Communications, Vol. 86, Issue 1, pp 287-300, January, 2016. https://doi.org/10.1007/s11277-015-3063-1
  14. Recommendation ITU-R M.2243, "Assessment of the global mobile broadband deployments and forecasts for International Mobile Telecommunications," ITU-R, 2015.
  15. 3GPP TR 45.820, "Cellular System Support for Ultra Low Complexity and Low Throughput Internet of Things," 3GPP, 2015.
  16. 3GPP TR 23.720, "Architecture Enhancements for Cellular Internet of Things (Release 13)," 3GPP, 2015.
  17. Recommendation ITU-R M.2083-0, "IMT-Vision - Framework and Overall Objectives of the Future Development of IMT for 2020 and Beyond," ITU-R, 2015.
  18. C. G. Kang, J. H. Lee, B. S. Park, J. W. Kang, and K. B. Guan, "5G Mobile Technology Trends," TTA Journal, Vol. 163, pp. 51-57, 2016.
  19. C. G. Cho, "5G Network Technology Trends," TTA Journal, Vol. 163, pp. 58-63, 2016.
  20. S. K. Kim, and J. D. Park, "Status of Mobile Edge Computing Technology Towards 5G Era," Electronics and Telecommunications Trends, Vol. 31, pp. 35-35, 2016.
  21. O. S. Park, H. Y. Hwang, C. H. Lee, and J. S. Shin, "Trends of 5G Massive IoT," Electronics and Telecommunications Trends, Vol. 31, pp. 68-77, 2016.
  22. Seokhoon Kim, and Jinweon Suk, "Efficient peer-to-peer context awareness data forwarding scheme in emergency situations," Peer-to-Peer Networking and Applications, Vol. 9, Issue 3, pp. 477-486, May, 2016. https://doi.org/10.1007/s12083-015-0401-8
  23. Dae-Young Kim, Seokhoon Kim, Houcine Hassan, and Jong Hyuk Park, "Radio resource management for data transmission in low power wide area networks integrated with large scale cyber physical systems," Cluster Computing, Vol. 20, No. 2, pp.1831-1842, 2017.
  24. Dae-Young Kim, and Seokhoon Kim, "Dual-channel medium access control of low power wide area networks considering traffic characteristics in IoE," Cluster Computing, Vol. 20, No. 3, pp. 2375-2384, 2017.

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