The development of WSN in great amount of applications done it widespread. Nevertheless, energy is considered as a most important confront in the WSN environment which is represents as the battery-operated SN in the network utilizes massive quantity of energy transmission. Moreover, this paper tackles energy problem as well as presents energy effectual multi-hop routing in WSN called Chaotic based Hybrid ASA and PSO. This algorithm experiences 2 phases for obtaining multi-hop routing that comprises CHS, and data transmission. At first, the energy-efficient CHs are chosen by exploiting the LEACH protocol in order to effectual data transmission, the SNs transmits data through the CH that sends data to the BS via chosen optimal hop. The selection of optimal hop is performed by exploiting the developed Chaotic Hybrid ASA-PSO algorithm. In addition, the multi-hop security aware routing is done through developing trust model which included integrity factor, indirect trust, data forwarding rate as well as direct trust. The developed Chaotic based Hybrid ASA-PSO method shows optimal performance with respect to the energy, throughput, delay, as well as , number of alive nodes correspondingly.
Ziwen Sun, Min Wei, Zhiwei Zhang, Gang Qu,"Secure Routing Protocol based on Multi-objective Ant-colony-optimization for wireless sensor networks", Applied Soft Computing, Volume 77, Pages 366-375, April 2019.
Tarek Gaber, Sarah Abdelwahab, Mohamed Elhoseny, Aboul Ella Hassanien,"Trust-based secure clustering in WSN-based intelligent transportation systems"Computer Networks, Volume 1469, pp. 151-158, December 2018.
Elena Romero, Javier Blesa, Alvaro Araujo," An adaptive energy aware strategy based on game theory to add privacy in the physical layer for cognitive WSNs",Ad Hoc Networks, Volume 92, September 2019.
Shishupal Kumar, Nidhi Lal, Vijay Kumar Chaurasiya,"An energy efficient IPv6 packet delivery scheme for industrial IoT over G.9959 protocol based Wireless Sensor Network (WSN),"Computer Networks", Volume 1548, Pages 79-87, May 2019.
Reeta Bhardwaj, Dinesh Kumar,"MOFPL: Multi-objective fractional particle lion algorithm for the energy aware routing in the WSN", Pervasive and Mobile Computing, Volume 58, August 2019.
Srijit Chowdhury, Ambarish Roy, Abderrahim Benslimane, Chandan Giri,"On semantic clustering and adaptive robust regression based energy-aware communication with true outliers detection in WSN", Ad Hoc Networks, Volume 94, 2019.
M. Masdari, S. M. Bazarchi, and M. Bidaki, “Analysis of Secure LEACH-Based Clustering Protocols in Wireless Sensor Networks,” J. Netw.Comput.Appl., vol. 36, no. 4, pp. 1243–1260, 2013.
B. Dennis and S. Muthukrishnan, “AGFS: Adaptive Genetic Fuzzy System for medical data classification,” Appl. Soft Comput. J., Volume. 25, page no. 242–252, 2014.
Zhu, J., "Wireless Sensor Network Technology Based on Security Trust Evaluation Model," International Journal of Online Engineering (iJOE), vol.14, no.4, pp.211-226, 2018.
Das, A. and Islam, M.M., "SecuredTrust: a dynamic trust computation model for secured communication in multiagent systems," IEEE Transactions on Dependable and Secure Computing, vol.9, no.2, pp.261-274, 2012.
Wenxiao Wang, Chaoshun Li, Xiang Liao, Hui Qin,” Study on unit commitment problem considering pumped storage and renewable energy via a novel binary artificial sheep algorithm”, Applied Energy, volume.187, page no.612–626, 2017.
H.R. Tizhoosh. Opposition-based learning: a new scheme for machine intelligence, CIMCA-IAWTIC'06, page no. 695-701. IEEE, 2005.
Y. Shi , R. Eberhart , A modified particle swarm optimizer”, Evolutionary Com- putation Proceedings, IEEE World Congress on Computational Intelli- gence, The 1998 IEEE International Conference on, IEEE, pp. 69–73, 1998 .
Seyedali. Mirjalili,Amir, H. Gandomi,” Chaotic gravitational constants for the gravitational search algorithm”, Applied Soft Computing, volume53, page no.407-419, 2017.
J. Huang, Y. Hong, Z. Zhao, and Y. Yuan, “An energy-efficient multi-hop routing protocol based on grid clustering for wireless sensor networks,” Cluster Computing, 2017.
[37] R. Kumar, D. Kumar, and D. Kumar, “Exponential Ant Colony Optimization and Fractional Artificial Bee Colony to Multi-Path Data Transmission in Wireless Sensor Networks,” IET Commun., Volume. 11, num. 4, page no. 522–530, 2017.
I. S. Akila and R. Venkatesan, “An energy balanced geo-cluster head set based multi-hop routing for wireless sensor networks,” Cluster Computing., 2018.
S Vinusha and J.S. Abinaya,"Performance analysis of the Adaptive Cuckoo Search Rate Optimization Scheme for the Congestion Control in the WSN", Journal of Networking and Communication Systems (JNACS), Volume 1, Issue 1, October 2018.
W.Brajula and Praveena S,"Energy Efficient Genetic Algorithm Based Clustering Technique for Prolonging the Life Time of Wireless Sensor Network", Journal of Networking and Communication Systems (JNACS), Volume 1, Issue 1, October 2018.