Cover
Vol. 19 No. 2 (2023)

Published: December 31, 2023

Pages: 1-7

Original Article

New Energy Efficient Routing Protocol in Wireless Sensor Networks Using Firefly Algorithm

Abstract

Energy constraint has become the major challenge for designing wireless sensor networks. Network lifetime is considered as the most substantial metric in these networks. Routing technique is one of the best choices for maintaining network lifetime. This paper demonstrates implementation of new methodology of routing in WSN using firefly swarm intelligence. Energy consumption is the dominant issue in wireless sensor networks routing. For network cutoff avoidance while maximize net lifetime energy exhaustion must be balanced. Balancing energy consumption is the key feature for rising nets lifetime of WSNs. This routing technique involves determination of optimal route from node toward sink to make energy exhaustion balance in network and in the same time maximize network throughput and lifetime. The proposed technique show that it is better than other some routing techniques like Dijkstra routing, Fuzzy routing, and ant colony (ACO) routing technique. Results demonstrate that the proposed routing technique has beat the three routing techniques in throughput and extend net lifetime.

References

  1. I. F. Akyildiz and M. C. Vuran, Wireless Sensor Network. John Wiley and Sons Ltd, 2010.
  2. A. Hac, “Wireless sensor network designs,” John Wiley and Sons Ltd, 2003.
  3. I. F. Akyildiz, W. Su, Y. Sankarasubramaniam, and E. Cayirci, “A survey on sensor networks,” IEEE Com- munications magazine, vol. 40, no. 8, pp. 102–114, 2002.
  4. J. N. Al-Karaki and A. E. Kamal, “Routing techniques in wireless sensor networks: a survey,” IEEE wireless communications, vol. 11, no. 6, pp. 6–28, 2004. 7 |
  5. C. Hua and T. P. Yum, “Optimal routing and data ag- gregation for maximizing lifetime of wireless sensor networks,” IEEE ACM Transection on Network, vol. 16, no. 4, pp. 892–903, 2008.
  6. H. R. Karkvandi, E. Pecht, and O. Yadid, “Effective lifetime-aware routing in wireless sensor networks,” IEEE Sensors Journal, vol. 11, no. 12, pp. 3359–3367, 2011.
  7. K. R. Sharmaa, N. K. Sharma, and N. Danish, “A bio inspired firefly algorithm for packet routing in wireless sensor network,” International Journal of Communica- tion and Networking System, vol. 3, no. 2, pp. 80–83, June 2014.
  8. K. Gupta and A. K. Brar, “Improving the stability period using firefly algorithm,” IOSR Journal of Electronics and Communication Engineering, vol. 11, no. 3, pp. 31–38, 2016.
  9. R. Elavarasan and K. Chitra, “Energy efficient firefly algorithm based localization with optimal routing for wireless sensor network,” International Journal Of Cir- cuit Theory And Applications, vol. 10, no. 20, pp. 53–66, 2017.
  10. K. M. Mamatha and M. Kiran, “Firefly algorithm for self-organization of mobile wireless sensor network,” Journal of Communications, vol. 15, no. 3, pp. 270–275, March 2020.
  11. M. Faheem, R. A. Butt, B. Raza, H. Alquhayz, M. W. Ashraf, S. Raza, and A. B. Ngadi, “Ffrp: Dynamic fire- fly mating optimization inspired energy efficient routing protocol for internet of underwater wireless sensor net- works,” IEEE Special Section on Green Communications on Wireless Networks, vol. 8, pp. 39587–39604, 2020.
  12. Q. Ding, R. Zhu, H. Liu, and M. Ma, “An overview of machine learning-based energy-efficient routing algo- rithms in wireless sensor networks,” MDPI Journal of Electronics, vol. 10, no. 1539, pp. 1–24, 2021.
  13. S. K. Leabi and T. Y. Abdalla, “Energy efficient rout- ing protocol for maximizing lifetime in wireless sensor networks using fuzzy logic and immune system,” Inter- national Journal of Advanced Computer Science and Applications (IJACSA), vol. 7, no. 10, pp. 95–101, 2016.
  14. S. K. Leabi and T. Y. Abdalla, “Energy efficient routing protocol for maximizing the lifetime in wsns using ant colony algorithm and artificial immune system,” Inter- national Journal of Advanced Computer Science and Applications (IJACSA), vol. 7, no. 3, pp. 100–108, 2016.
  15. X.-S. Yang and X. He, “Firefly algorithm: Recent advances and applications,” International Journal of Swarm Intelligence, vol. 1, no. 1, pp. 36–50, 2013.
  16. X. S. Yang, “Nature-inspired metaheuristic algorithms,” Luniver Press, UK, 2010.
  17. W. R. Heinzelman, A. Chandrakasan, and H. Balakr- ishnan, “Energy efficient communication protocol for wireless microsensor networks,” Proceedings of the 33rd Annually Hawaii International Conference on Systems Sciences, pp. 1–10, 2000.