Skip to main content
SpringerLink
Log in

SPSIC: Semi-Physical Simulation for IoT Clouds

  • Published:
Mobile Networks and Applications Aims and scope Submit manuscript

Abstract

Recent years have witnessed various successful demonstrations of the emerging IoT technologies, while the researchers still need to face a lot of technological challenges. It is necessary to verify and evaluate the relevant theories and calculations before the application of IoT, and that is why building a simulation platform for the IoT becomes so important, especially for a large scale IoT to meet the requirement of a scale perception in a large scope. The IoT which always contains a complicated network and communication system has made the network simulation software OPNET Modeler to be a good choice for it. Moreover, the IoT has transfer all kinds of “objects” that humans need into the form of data by various sensing equipment and intelligent devices, and those data will be stored, analyzed and processed by cloud computing finally. The paper presents an innovative method to establish an intelligent, independent and expandable data driven IoT service platform by OPNET’s Semi-Physical Simulation to combine the simulated network for IoT with the real Cloud computing(SPSIC) which applies real network to achieve the long-term surveillance, management, sharing and analysis of the collected data at any time.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10

Similar content being viewed by others

References

  1. Tao MX, Chen E, Zhou H, Yu W (2015) Contentcentric Sparse Multicast Beamforming for Cacheenabled Cloud RAN, IEEE Transaction on Wireless, arXiv:1512.06938

  2. Chen M, Hao Y, Li Y, Lai C, Wu D (2015) On the computation offloading at ad hoc cloudlet: Architecture and service models. IEEE Commun 53(6):18–24

    Article  Google Scholar 

  3. Zhang Y, Chen M, Mao S, Hu L, Leung V (2014) CAP: Crowd activity prediction based on big data analysis. IEEE Netw 28(4):52–57

    Article  Google Scholar 

  4. Chen M, Qian Y, Mao S, Tang W, Yang X (2016) Software-Defined Mobile Networks Security, ACM/Springer Mobile Networks and Applications, doi:10.1007/s11036-015-0665-5

  5. Chen M, Zhang Y, Li Y, Mao S, Leung V (2015) EMC: Emotion-aware mobile cloud computing in 5G. IEEE Netw 29(2):32– 38

    Article  Google Scholar 

  6. Chen M, Zhang Y, Hu L, Taleb T, Sheng Z (2015) Cloud-based wireless network: virtualized, reconfigurable, smart wireless network to enable 5G technologies. ACM/Springer Mob Netw Appl 20(6):704–712

    Article  Google Scholar 

  7. Ge X, Cheng H, Guizani M, Han T (2014) 5G wireless backhaul networks: challenges and research advances. IEEE Netw 28(6):6–11

    Article  Google Scholar 

  8. Chen E, Tao MX (2013) A network and device aware qos approach for cloud-based mobile streaming. IEEE Trans Multimed 15(4):747–757

    Article  MathSciNet  Google Scholar 

  9. Li H, Wu D, Li G-X, Ke Y-H, Liu W-J, Zheng Y-H, Lin X-L (2015) Enhancing telco service quality with big data enabled churn analysis: infrastructure, model, and deployment. J Comput Sci Technol 30(6):1201–1214

    Article  Google Scholar 

  10. Lai C-F, Wang H, Chao H-C, Nan G (2013) A network and device aware qos approach for cloud-based mobile streaming. IEEE Trans Multimed 15(4):747–757

    Article  Google Scholar 

  11. Zheng K, Zhao L, Mei J, Dohler M, Xiang W, Peng Y (2015) 10 Gb/s hetsnets with millimeter-wave communications: access and networking-challenges and protocols. IEEE Commun Mag 53(1):222–231

    Article  Google Scholar 

  12. Zheng K, Zhao L, Mei J, Shao B, Xiang W, Hanzo L (2015) Survey of large-scale mimo systems. IEEE Commun Surv Tutorials 17(3):1738–1760

    Article  Google Scholar 

  13. Lai C-F, Hwang R-H, Chao H-C, Hassan M, Alamri A (2015) A buffer-aware http live streaming approach for sdn-enabled 5g wireless networks. IEEE Netw 29(1):49–55

    Article  Google Scholar 

  14. Wang G, Xiang W, Pickering M (2015) A cross-platform solution for light field based 3d telemedicine, Computer methods and programs in biomedicine

  15. Xue Z, Wu D, He J, Hei X, Liu Y (2015) Playing high-end video games in the cloud: a measurement study. IEEE Trans Circ Syst Video Technol 25(12):2013–2025

    Article  Google Scholar 

  16. Chen M, Ma Y, Hao Y, Li Y, Wu D, Zhang Y, Song E (2016) CP-Robot: Cloud-assisted Pillow Robot for Emotion Sensing and Interaction. Industrialiot 2016, Guangzhou, China

    Google Scholar 

  17. Wan J, Zou C, Ullah S, Lai C-F, Zhou M, Wang X (2013) Cloud-enabled wireless body area networks for pervasive healthcare. IEEE Netw 27(5):56–61

    Article  Google Scholar 

  18. Wan J, Zou C, Zhou K, Lu R, Li D (2014) Iot sensing framework with inter-cloud computing capability in vehicular networking. Electron Commer Res 14(3):389–416

    Article  Google Scholar 

  19. Zhou L, Yang Z, Wen Y, Rodrigues JJ (2014) Distributed wireless video scheduling with delayed control information. IEEE Trans Circ Syst Video Technol 24(5):889–901

    Article  Google Scholar 

  20. Zhou L, Wu D, Zheng B, Guizani M (2014) Joint physical-application layer security for wireless multimedia delivery. IEEE Commun Mag 52(3):66–72

    Article  Google Scholar 

  21. Chen M, Lai C, Wang H (2011) Mobile Multimedia Sensor Networks: Architecture and Routing, EURASIP Journal on Wireless Communications and Networking, Vol. 2011, doi:10.1186/1687-1499-2011-159

  22. Chen M (2013) Towards smart city: M2M communications with software agent intelligence. Multimed Tools Appl 67(1):167–178

    Article  Google Scholar 

  23. Chen M, Wan J, González S, Liao X, Leung V (2014) A survey of recent developments in home m2m networks. IEEE Commun Surv Tutorials 16(1):98–114

    Article  Google Scholar 

  24. Lin K, Wang X, Peng L, Zhu X (2013) Energy-efficient k-cover problem in hybrid sensor networks, The Computer Journal, p. bxt020

  25. Lin K, Wang W, Wang X, Ji W, Wan J (2015) Qoe-driven spectrum assignment for 5g wireless networks using sdr. IEEE Wirel Commun 22(6):48–55

    Article  Google Scholar 

  26. Zhou Y, Xiang W, Wang G (2015) Frame loss concealment for multiview video transmission over wireless multimedia sensor networks. IEEE Sensors J 15(3):1892–1901

    Article  Google Scholar 

  27. Zheng K, Ou S, Alonso-Zarate J, Dohler M, Liu F, Zhu H (2014) Challenges of massive access in highly dense lte-advanced networks with machine-to-machine communications. IEEE Wirel Commun 21(3):12–18

    Article  Google Scholar 

  28. Lai C-F, Chao H-C, Lai Y-X, Wan J (2013) Cloud-assisted real-time transrating for http live streaming. IEEE Wirel Commun 20(3):62–70

    Article  Google Scholar 

  29. Chen M (2015) Opnet IoT simulation, Huazhong University of Science and Technology Press, vol 1

  30. Wu D, Xue Z, He J (2014) Icloudaccess: Cost-effective streaming of video games from the cloud with low latency. IEEE Trans Circ Syst Video Technol 24(8):1405–1416

    Article  Google Scholar 

  31. Chen M, Zhang Y, Li Y, Hassan M, Alamri A (2015) Aiwac: affective interaction through wearable computing and cloud technology. IEEE Wirel Commun 22(1):20–27

    Article  Google Scholar 

  32. Siraj S, Gupta A, Badgujar R (2012) Network simulation tools survey. Int J Adv Res Comput Commun Eng 1(4):199– 206

    Google Scholar 

  33. Chen M (2004) OPNET network simulation, vol 1. Press of Tsinghua University

  34. Ge X, Yang B, Ye J, Mao G, Wang C-X, Han T (2015) Spatial spectrum and energy efficiency of random cellular networks. IEEE Trans Commun 63(3):1019–1030

    Article  Google Scholar 

  35. Chen B, Butler-Purry KL, Goulart A, Kundur D (2014) Implementing a real-time cyber-physical system test bed in rtds and opnet. In: North American Power Symposium (NAPS), 2014. IEEE, pp 1–6

  36. Hossain MS, Muhammad G, Alhamid MF, Song B, Al-Mutib K (2016) Audio-visual emotion recognition using big data towards 5g. Mobile Networks and Applications:1–11

  37. Hossain MS (2015) Cloud-supported cyber-physical localization framework for patients monitoring

  38. Hossain MS, Muhammad G (2016) Cloud-assisted industrial internet of things (iiot)–enabled framework for health monitoring. Computer Networks

  39. Fortino G, Parisi D, Pirrone V, Di Fatta G (2014) Bodycloud: a saas approach for community body sensor networks. Futur Gener Comput Syst 35:62–79

    Article  Google Scholar 

  40. Fortino G, Di Fatta G, Pathan M, Vasilakos AV (2014) Cloud-assisted body area networks: state-of-the-art and future challenges. Wirel Netw 20(7):1925–1938

    Article  Google Scholar 

Download references

Acknowledgments

Thanks for the visiting professor program at King Saud University for supporting this research work.

Author information

Authors and Affiliations

  1. School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, 430074, China

    Junfeng Wang, Xiaobo Shi & Ying Hu

  2. School of Information Engineering, Zhengzhou University, Zhengzhou, 450001, China

    Junfeng Wang

  3. College of Computer and Information Technology, Henan Normal University, Xinxiang, 453007, China

    Xiaobo Shi

  4. Computer Engineering Department, King Saud University, P.O. Box, 51178, Riyadh, Saudi Arabia

    Musaed Alhussein

  5. Department of Industrial Engineering, Ajou University, Suwon, South Korea

    Limei Peng

Authors
  1. Junfeng Wang
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Xiaobo Shi
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Musaed Alhussein
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Limei Peng
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Ying Hu
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Ying Hu.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Wang, J., Shi, X., Alhussein, M. et al. SPSIC: Semi-Physical Simulation for IoT Clouds. Mobile Netw Appl 21, 856–864 (2016). https://doi.org/10.1007/s11036-016-0718-4

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11036-016-0718-4

Keywords

Search

Navigation