Skip to main content
SpringerLink
Log in

On the feasibility of telesurgery over software defined networks

  • Regular Paper
  • Published:
International Journal of Intelligent Robotics and Applications Aims and scope Submit manuscript

Abstract

Telesurgery is a form of surgery in which a remote surgeon can perform surgical operation on a patient over a distance using robots. Due to human life is at stake, telesurgery is a high risk operation. Therefore, safety is one of the most important issues in telesurgery. Implementing appropriate mechanisms and protocols over communication network in order to transmit telesurgical traffics effectively, can improve the safety of telesurgery. The limitations of traditional IP-based protocols make it difficult to provide quality of service (QoS) for telesurgery. Fortunately, the advent of software defined network (SDN) facilitates to provide and guarantee QoS for most applications such as telesurgery. This paper investigates the feasibility of telesurgery over SDN, and proposes an SDN-based network architecture for the implementation of telesurgery. The proposed architecture considers all communication aspects of telesurgery and manages telesurgical traffics by using an efficient traffic engineering (TE) technique. To prove the effectiveness of our proposed architecture and TE method, we conducted extensive simulations for telesurgery application. Experimental results confirm that the proposed solution can be practically used for telesurgery and improve the performance of telesurgery in terms of QoS parameters.

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

  • Akyildiz, I.F., Lee, A., Wang, P., Luo, M., Chou, W.: A roadmap for traffic engineering in SDN-OpenFlow networks. Comput. Netw. 71, 1–30 (2014)

    Article  Google Scholar 

  • Ashley, R.C.: Telemedicine: legal, ethical, and liability considerations. J. Am. Diet. Assoc. 102(2), 267–269 (2002)

    Article  Google Scholar 

  • Bagot, K.L., et al.: Telemedicine expedites access to optimal acute stroke care. The Lancet 388(10046), 757–758 (2016)

    Article  Google Scholar 

  • Biernacki, A., Metzger, F., Tutschku, K.: On the influence of network impairments on YouTube video streaming. J. Telecommun. Inf. Technol. 3, 83–90 (2012)

    Google Scholar 

  • Braden, R., Clark, D., Shenker, S.: Integrated services in the internet architecture: an overview. No. RFC 1633 (1994)

  • Butner, S.E., Ghodoussi, M.: Transforming a surgical robot for human telesurgery. IEEE Trans. Robot. Autom. 19(5), 818–824 (2003)

    Article  Google Scholar 

  • Butner, S.E., Ghodoussi, M.: A real-time system for tele-surgery. In: 21st International Conference on Distributed Computing Systems, 2001. IEEE (2001)

  • Conde, J.G., et al.: Telehealth innovations in health education and training. Telemed. J. e-Health 16(1), 103–106 (2010). PMC. Web. 27 Nov. 2016

    Article  Google Scholar 

  • Dobrijevic, O., et al. Q-POINT: QoE-Driven path optimization model for multimedia services. In: International Conference on Wired/Wireless Internet Communications. Springer, Berlin (2014)

  • Egilmez, H.E., Civanlar, S.: An optimization framework for QoS-enabled adaptive video streaming over OpenFlow networks. IEEE Trans. Multimed. 15(3), 710–715 (2013)

    Article  Google Scholar 

  • Elattar, M., Wendt, V., Jasperneite, J.: Communications for Cyber-Physical Systems. Industrial Internet of Things, pp. 347–372. Springer, Berlin (2017)

    Book  Google Scholar 

  • Gandsas, A., et al.: Live interactive broadcast of laparoscopic surgery via the internet. Surg. Endosc. 12(3), 252–255 (1998)

    Article  Google Scholar 

  • Ghodoussi, M., Butner, S.E., Wang, Y.: Robotic surgery-the transatlantic case. In: IEEE International Conference on Robotics and Automation, 2002. Proceedings. ICRA’02. Vol. 2. IEEE (2002)

  • Gokhale, V., Nair, J., Chaudhuri, S.: Application Layer Congestion Control for Network-Aware Telehaptic Communication. arXiv preprint arXiv:1610.00609 (2016)

  • Gredler, H., Goralski, W.: The Complete IS-IS Routing Protocol. Springer, Berlin (2005)

    MATH  Google Scholar 

  • Grossman, D.: New terminology and clarifications for diffserv. No. RFC 3260 (2002)

  • Guo, J., et al.: A method of decreasing time delay for a tele-surgery system. In: 2012 IEEE International Conference on Mechatronics and Automation. IEEE (2012)

  • http://mininet.org/download/. Accessed 17 Oct 2016

  • https://www.opendaylight.org/. Accessed 17 Oct 2016

  • Hanly, E.J., Broderick, T.J.: Telerobotic surgery. Oper. Tech. Gen. Surg. 7(4), 170–181 (2005)

    Article  Google Scholar 

  • Hjelm, N.M.: Benefits and drawbacks of telemedicine. J. Telemed. Telecare 11(2), 60–70 (2005)

    Article  Google Scholar 

  • Hu, L., et al.: Software defined healthcare networks. IEEE Wirel. Commun. 22(6), 67–75 (2015)

    Article  Google Scholar 

  • Kahn, J.M.: Virtual visits—confronting the challenges of telemedicine. N. Engl. J. Med. 372(18), 1684–1685 (2015)

    Article  Google Scholar 

  • Kalam, El, Abou, A., Ferreira, A., Kratz, F.: Bilateral teleoperation system using QoS and secure communication networks for telemedicine applications. IEEE Syst. J. 10(2), 709–720 (2016)

    Article  Google Scholar 

  • Kawamura, K., Kobayashi, Y., Fujie, M.G.: Development of real-time simulation for workload quantization in robotic tele-surgery. In: 2006 IEEE International Conference on Robotics and Biomimetics. IEEE (2006)

  • Kim, H., Feamster, N.: Improving network management with software defined networking. IEEE Commun. Mag. 51(2), 114–119 (2013)

    Article  Google Scholar 

  • Kokkonis, G., Psannis, K.E., Roumeliotis, M.: Network adaptive flow control algorithm for haptic data over the internet–NAFCAH. In: International Conference on Genetic and Evolutionary Computing. Springer, Berlin (2015)

  • Link, R.E., Schulam, P.G., Kavoussi, L.R.: Telesurgery: remote monitoring and assistance during laparoscopy. Urol. Clin. N. Am. 28(1), 177–188 (2001)

    Article  Google Scholar 

  • Liu, G., Ramakrishnan, K.G.: A* Prune: an algorithm for finding K shortest paths subject to multiple constraints. In: INFOCOM 2001. Twentieth Annual Joint Conference of the IEEE Computer and Communications Societies. Proceedings. IEEE, vol. 2, pp. 743–749. IEEE (2001)

  • Manaf, N.H.A., et al.: Issues and challenges in medical tourism: an interdisciplinary perspective. In: Proceedings of the 2nd Applied International Business Conference, 7–8 December, p. 230 (2013)

  • Marescaux, J., et al.: Transatlantic robot-assisted telesurgery. Nature 413(6854), 379–380 (2001)

    Article  Google Scholar 

  • McKeown, N., Anderson, T., Balakrishnan, H., Parulkar, G., Peterson, L., Rexford, J., Shenker, S., Turner, J.: OpenFlow: enabling innovation in campus networks. ACM SIGCOMM Comput. Commun. Rev. 38(2), 69–74 (2008)

    Article  Google Scholar 

  • Melton, L., et al.: Increasing access to care for young adults with cancer: results of a quality-improvement project using a novel telemedicine approach to supportive group psychotherapy. Palliat. Support. Care 15(2), 176–180 (2017)

    Article  Google Scholar 

  • Mohammadi, R.: A novel multicast traffic engineering technique in SDN using TLBO algorithm. Telecommun. Syst. (2017). https://doi.org/10.1007/s11235-017-0409-x

    Google Scholar 

  • Mohammadi, R., Javidan, R.: An intelligent traffic engineering method over software defined networks for video surveillance systems based on artificial bee colony. Int. J. Intell. Inf. Technol. (IJIIT) 12(4), 45–62 (2016)

    Article  Google Scholar 

  • Mohammadi, R., Javidan, R.: An adaptive type-2 fuzzy traffic engineering method for video surveillance systems over software defined networks. Multimed. Tools Appl. 76(22), 23627–23642 (2017)

    Article  Google Scholar 

  • Moy, J.: OSPF version 2 (1997)

  • Orban, J., III, et al.: Sterile surgical drape. U.S. Patent No. 9,320,568. 26 Apr. 2016

  • Parsaei, M.R., et al.: Network traffic classification using machine learning techniques over software defined networks. Int. J. Adv. Comput. Sci. Appl. 8(7), 220–225 (2017a)

    Google Scholar 

  • Parsaei, M.R., Mohammadi, R., Javidan, R.: A new adaptive traffic engineering method for telesurgery using ACO algorithm over Software Defined Networks. Eur. Res. Telemed. 6(3-4), 173–180 (2017b)

    Article  Google Scholar 

  • Perez, M., et al.: Paradigms and experimental set-up for the determination of the acceptable delay in telesurgery. In: 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE (2007)

  • Pracht, A., et al.: Telestrative and telesurgical application for a generic surgical robot. J. Med. Devices 10(3), 030916 (2016)

    Article  Google Scholar 

  • Rao, R.V., Savsani, V.J., Vakharia, D.: Teaching–learning-based optimization: a novel method for constrained mechanical design optimization problems. Comput. Aided Des. 43(3), 303–315 (2011)

    Article  Google Scholar 

  • Rayman, R., et al.: Effects of latency on telesurgery: an experimental study. In: International Conference on Medical Image Computing and Computer-Assisted Intervention. Springer, Berlin (2005)

  • Rosen, J.: Autonomous operation in surgical robotics. Mech. Eng. 137(9), S15 (2015)

    Article  Google Scholar 

  • Rovetta, A.: Remote control in telerobotic surgery. IEEE Trans. Syst. Man Cybern. Part A Syst. Hum. 26(4), 438–444 (1996)

    Article  Google Scholar 

  • Ruiz, J.J., Martin, J., Ollero, A.: Enhanced video camera feedback for teleoperated aerial refueling in unmanned aerial systems. In: 2015 Workshop on Research, Education and Development of Unmanned Aerial Systems (RED-UAS). IEEE (2015)

  • Sanneck, H.A., and Carle, G.: Framework model for packet loss metrics based on loss runlengths. In: SPIE Proceedings Multimedia Computing and Networking (2000)

  • Satoda, K., Nihei, K., Yoshida, H.: Quality evaluation of voice over multiple TCP connections. In: 2014 International Conference on Computing, Networking and Communications (ICNC), IEEE (2014)

  • Saylor, M.: The Mobile Wave: How Mobile Intelligence Will Change Everything. Vangard Press, Philadelphia (2012)

    Google Scholar 

  • Shin, M.-K., Nam, K.-H., Kim, H.-J.: Software-defined networking (SDN): a reference architecture and open APIs. In: 2012 International Conference on ICT Convergence (ICTC), pp. 360–361. IEEE (2012)

  • Tomovic, S., Prasad, N., Radusinovic, I.: SDN control framework for QoS provisioning. In: Telecommunications Forum Telfor (TELFOR), 2014 22nd, pp. 111–114. IEEE (2014)

  • Tsang, R.K.Y.: Transoral robotic surgery: development and challenges. Robot. Surg. Res. Rev. 2015(2), 1–10 (2015)

    Google Scholar 

  • Ulaş, C., et al.: Delay sensitive wireless protocols for telerobotics applications. J. Netw. Technol. 1(3), 119 (2010)

    Google Scholar 

  • Weitman, E., et al.: Robotic Colorectal Surgery: Evolution and Future. Seminars in Colon and Rectal Surgery. WB Saunders (2016)

  • Xiao, X., Hannan, A., Bailey, B., Ni, L.M.: Traffic engineering with MPLS in the internet. IEEE Netw 14(2), 28–33 (2000)

    Article  Google Scholar 

  • Xiao, Y., Thulasiraman, K., Xue, G., Jüttner, A.: The constrained shortest path problem: algorithmic approaches and an algebraic study with generalization. AKCE Int. J. Gr. Comb. 2(2), 63–86 (2005)

    MATH  Google Scholar 

  • Xiaohui, X., et al.: Internet based telesurgery with a bone-setting system. In: IEEE International Conference on Integration Technology, 2007. ICIT’07. IEEE (2007)

  • Xu, Y., Qu, R.: A hybrid scatter search meta-heuristic for delay constrained multicast routing problems. Appl. Intell. 36(1), 229–241 (2012)

    Article  Google Scholar 

  • Zain, A.S.M., et al.: Developing wireless network design in 4G long term evolution for healthcare. In: Handbook of Research on ICTs and Management Systems for Improving Efficiency in Healthcare and Social Care, pp. 503–517 (2013)

Download references

Author information

Authors and Affiliations

  1. Department of Computer Engineering, Bu-Ali Sina University, Hamedan, Iran

    Reza Mohammadi

  2. Department of Computer Engineering and IT, Shiraz University of Technology, Shiraz, Iran

    Reza Javidan

Authors
  1. Reza Mohammadi
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Reza Javidan
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Reza Javidan.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Mohammadi, R., Javidan, R. On the feasibility of telesurgery over software defined networks. Int J Intell Robot Appl 2, 339–350 (2018). https://doi.org/10.1007/s41315-018-0059-5

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s41315-018-0059-5

Keywords

Search

Navigation