Subject Areas : Computer Engineering

Faraein Aeini ¹ ( Department of Computer Engineering, Sari Branch, Islamic Azad University, Sari, Iran )

Received: 2023-08-01 Accepted : 2023-09-20 Published : 2023-09-01

Keywords:

References:

 

• K.Nigam, and C. Dabas, ESO-LEACH: PSO based energy efficient clustering in LEACH. Journal of King Saud University – Computer and Information Sciences, 2018.


• Sinde, et al., "Lifetime improved WSN using enhanced-LEACH and angle sector-based energy-aware TDMA scheduling", Cogent Engineering, Vol.7, No.1,2020.


• Rambabu, A.V. Reddy, and S. Janakiraman, "Hybrid Artificial Bee Colony and Monarchy Butterfly Optimization Algorithm (HABC-MBOA)-based cluster head selection for WSNs", Journal of King Saud University – Computer and Information Sciences, 2019.


• C. Ergen, and P. Varaiya," TDMA scheduling algorithms for wireless sensor networks. Wireless Networks", Vol.16, p. 985–997, 2010.


• K. Singh, P. Kumar, and J.P. Singh, "A Survey on Successors of LEACH Protocol", IEEE Access, Vol.5, p. 4298-4328, 2017.


• Yadav, S. Kumar, and S. Vijendra, "Network Life Time Analysis of WSNs Using Particle Swarm Optimization",Procedia Computer Science, Vol.132, p. 805-815, 2018.


• V.S.N Sarma, and M. Gopi, "Energy Efficient Clustering using Jumper Firefly Algorithm in Wireless Sensor Networks", International Journal of Engineering Trends and Technology (IJETT), 2014.


• O.A. Salem, and N. Shudifat, "Enhanced LEACH protocol for increasing a lifetime of WSNs", Personal and Ubiquitous Computing, 2019.


• Jari, and A. Avokh, "PSO-based sink placement and load-balanced anycast routing in multi-sink WSNs considering compressive sensing theory", Engineering Applications of Artificial Intelligence,Vol.100, 2021.


• A.P Misbahuddin, Ratna, and R. Sari, "Dynamic Multi-hop Routing Protocol Based on Fuzzy-Firefly Algorithm for Data Similarity Aware Node Clustering in WSNs", Int. J. Comput. Commun. Control, Vol.13, p. 99-116, 2018.


• Aeini, and A.M.E. Moghadam," regularized point-to-manifold distance metric for multi-view multi-manifold learning", Engineering Applications of Artificial Intelligence, Vol.82, p. 85–95, 2019.


• Lin, and H. Zha, "Riemannian Manifold Learning",IEEE Transactions on Pattern Analysis and Machine Intelligence , Vol.30, No.5, p. 796-809, 2008.


• Gong, et al.," Image texture classification using a manifold-distance-based evolutionary clustering method. Optical Engineering, Vol.47, No.7, p. 1-10, 2008.


• S.Yang, "Firefly Algorithm, Stochastic Test Functions and Design Optimisation", Int. J. Bio-Inspired Computation, Vol.2, No.2,p. 78-84,2010.


• R. Heinzelman, A. Chandrakasan, and H. Balakrishnan, "Energy-efficient communication protocol for wireless microsensor networks", in In Proceedings of the 33rd annual Hawaii international conference on system sciences. 2000, IEEE.