Enhancing the Security and Efficacy of Wireless Network Routing using Hybrid Algorithm Fusion
Keywords:
WSN, MWSNs, PDR, Neural Efficiency; SecurityAbstract
Wireless Sensor Networks (WSNs) play an important role in data collecting and monitoring across many areas. This study presents a novel approach that integrates firefly, neural network, AODV, and LEACH algorithms in the route discovery phase, as well as firefly and neural techniques in the ranking phase, with the goal of optimising route transitions within WSNs
References
W. S. Jung, K. W. Lim, Y. B. Ko, and S. J. Park, "Efficient clustering-based data aggregation techniques for wireless sensor
networks," Wireless Networks, vol. 17, no. 5, pp. 1387–1400, May 2011, doi: 10.1007/S11276-011-0355-6.
S. Sirsikar and S. Anavatti, "Issues of Data Aggregation Methods in Wireless Sensor Network: A Survey," Procedia
Computer Science, vol. 49, no. 1, pp. 194–201, Jan. 2015, doi: 10.1016/J.PROCS.2015.04.244.
K. Akkaya, M. Demirbas, and R. S. Aygun, "The impact of data aggregation on the performance of wireless sensor
networks," Wireless Communications and Mobile Computing, vol. 8, no. 2, pp. 171–193, Feb. 2008, doi:
1002/WCM.454.
