Improvise Route Discovery and Radio Duty Cycle in WSN using SDN.


Vikram Dhiman
Manoj Kumar
Ajay Sharma


In the conventional Wireless Sensor Network, every mote role is to collect data, discover route and then sends the packet to its neighbor to reach a destination, consequently demanding both computation time and power. Pertaining to same, a promising framework is required to mitigate both power consumption and computational costs of the nodes inside the network. It also required sufficient planning and proper execution of the strategies. In this way, an attempted to gain benefits of a Software Defined Network (SDN) approach in Wireless Sensor Networks (WSN) We have proposed a W-SDN framework for the traditional network using OpenFlow protocol and controller. The goal is to investigate the significant impact of SDN in WSN. Result analysis of the designed framework is proposed using the following parameters Radio Duty cycle, flow request, delay, and latency for QoS


How to Cite
Dhiman, V., Kumar, M., & Sharma, A. (2021). Improvise Route Discovery and Radio Duty Cycle in WSN using SDN. International Journal of Next-Generation Computing, 12(3), 292–308.


  1. Abdo, A. A., Al-Qurran, R., and Mardini, W. 2018. Enhanced routing algorithm based on depth traversal in software defined wireless sensor networks. In Proceedings of the 2nd International Conference on Future Networks and Distributed Systems. 1–5.
  2. Anadiotis, A.-C. G., Galluccio, L., Milardo, S., Morabito, G., and Palazzo, S. 2015. Towards a softwaredefined network operating system for the iot. In 2015 IEEE 2nd World Forum on Internet of Things (WF-IoT). IEEE, 579–584.
  3. da Silva Santos, L. F., de Mendonc¸a Junior, F. F., and Dias, K. L. 2017. µsdn: An sdn-based routing architecture for wireless sensor networks. In 2017 VII Brazilian Symposium on Computing Systems Engineering (SBESC). IEEE, 63–70.
  4. Dhiman, V., Kaur, V., and Singh, A. 2015. Performance investigation of energy aware routing protocol for heterogeneous wsns. In Emerging Research in Computing, Information, Communication and Applications. Springer, 239–251.
  5. Dhiman, V., Kumar, M., and Sharma, A. K. 2020. A radical study of energy efficient hierarchical cluster-based routing protocols for wsn. International Journal on Electrical Engineering and Informatics 12, 3, 445–469.
  6. Galluccio, L., Milardo, S., Morabito, G., and Palazzo, S. 2015. Reprogramming wireless sensor networks by using sdn-wise: A hands-on demo. In 2015 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS). IEEE, 19–20.
  7. Jimenez, J. M., Romero Mart´ınez, J. O., Rego Ma´nez, A. ˜ , and Lloret, J. 2016. Analyzing the performance of software defined networks vs real networks. International Journal On Advances in Networks and Services 9, 3-4, 107–116.
  8. Lantz, B. and O’Connor, B. 2015. A mininet-based virtual testbed for distributed sdn development. ACM SIGCOMM Computer Communication Review 45, 4, 365–366.
  9. Luo, T., Tan, H.-P., and Quek, T. Q. 2012. Sensor openflow: Enabling software-defined wireless sensor networks. IEEE Communications letters 16, 11, 1896–1899.
  10. Olivier, F., Carlos, G., and Florent, N. 2015. Sdn based architecture for clustered wsn. In 2015 9th International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing. IEEE, 342–347.
  11. Shalimov, A., Zuikov, D., Zimarina, D., Pashkov, V., and Smeliansky, R. 2013. Advanced study of sdn/openflow controllers. In Proceedings of the 9th central & eastern european software engineering conference in russia. 1–6.