Skip to main content

Software-Defined Networking with Multiple Routing Utilizing DFS to Improving QoS

  • Conference paper
  • First Online:
Emerging Technologies in Data Mining and Information Security

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 164))

  • 667 Accesses

Abstract

Massive advancement of network traffic has been observed lately since the significant usage of online application and cloud administration. Thus, various routing issues need to be managed without increasing the latency to ensure even traffic. Software-defined networking (SDN) is developed to address the above-mentioned issue. SDN allows the network’s programmable features and responses gradually. The suggested system addresses the concerns raised due to multipath steering through SDN. The application of OpenFlow convention and Ryu controller is done to implement SDN with the help of the Mininet-WiFi emulator. The SDN network is designed using a graphical UI program, and the module is implemented with Python programming along with OpenFlow based-Ryu controller. The breadth-first search (BFS) and depth-first search (DFS) schemes are portrayed to calculate the briefest path in the system. Finally, a round trip time (RTT) is observed to ensure the most suitable search algorithm among them to be used in the module resulting in DFS being the preferred algorithm.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 219.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. S. Parnin, M.M. Rahman, Human location detection system using micro electromechanical sensor for intelligent fan, in International Conference on Mechanical, Automotive and Aerospace Engineering (2016). https://doi.org/10.1088/1757-899x/184/1/012042

  2. K.L. Ku, J.S. Liaw, M.Y. Tsai, T.S. Liu, Automatic control system for thermal comfort based on predicted mean vote and energy saving, in IEEE Transactions on Automation Science and Engineering, vol. 12, no. 1 (2015)

    Google Scholar 

  3. M. Aftab, C. Chau, P. Armstrong, Smart air-conditioning control by wireless sensors: an online optimization approach, in International conference on Future energy systems (2013). https://doi.org/10.1145/2487166.2487192

  4. D.V. Babu, D.K. Yadav, N.K. Yadav, V.K. Verma, MEMS based smart and secure home automation system with multi-way control and monitoring facility using smart phone. J. Chem. Pharm. Sci. 9, 357–359 (2015)

    Google Scholar 

  5. A. Aswani, N. Master, J. Taneja, D. Culler, C. Tomlin, Reducing transient and steady state electricity consumption in hvac using learning-based model-predictive control. Proc. IEEE 100(1), 240–253 (2012). https://doi.org/10.1109/JPROC.2011.2161242

    Article  Google Scholar 

  6. J.Y.H. Wang, Y.K. Chuah, S.W. Chou, T.H. Lo, Non-invasive Zigbee wireless controller for air conditioner energy saving, in 7th International Conference on Wireless Communications, Networking and Mobile Computing, Wuhan, pp. 1–4 (2011). https://doi.org/10.1109/wicom.2011.6040311

  7. Thermal camera.: https://learn.adafruit.com/adafruit-amg8833-8x8-thermal-camera-sensor/overview, 28.09.2018

  8. Raspberry pi zero.: https://learn.adafruit.com/introducing-the-raspberry-pi-zero?view=all, 28.09.2018

  9. IR sensor.: https://learn.adafruit.com/ir-sensor?view=all, 28.09.2018

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

    Article  Google Scholar 

  11. M. Al-Fares, A. Loukissas, A. Vahdat, A scalable, commodity data center network architecture. ACM Sigcomm Comput. Commun. Rev. 38(4), 63–74 (2008)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to F. M. Javed Mehedi Shamrat .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2021 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Javed Mehedi Shamrat, F.M., Ghosh, P., Dipu Sultan, M., Majumder, A., Mahmud, I. (2021). Software-Defined Networking with Multiple Routing Utilizing DFS to Improving QoS. In: Tavares, J.M.R.S., Chakrabarti, S., Bhattacharya, A., Ghatak, S. (eds) Emerging Technologies in Data Mining and Information Security. Lecture Notes in Networks and Systems, vol 164. Springer, Singapore. https://doi.org/10.1007/978-981-15-9774-9_44

Download citation

Publish with us

Policies and ethics