2380 901
Full Length Article
Journal of Intelligent Systems and Internet of Things
Volume 0 , Issue 2, PP: 54-64 , 2019 | Cite this article as | XML | Html |PDF

Title

Trust Aware Moth Flame Optimization based Secure Clustering for Wireless Sensor Networks

  Abdul Rahaman Wahab Sait 1 * ,   M. Ilayaraja 2

1  King Faisal University, Kingdom of Saudi Arabia
    (asait@kfu.edu.sa )

2  Department of Computer Science and Information Technology, Kalasalingam Academy of Research and Education, Krishnankoil, India
    (ilayaraja.m@klu.ac.in)


Doi   :   https://doi.org/10.54216/JISIoT.000202


Abstract :

Wireless sensor networks (WSN) encompass numerous sensor nodes deployed in the physical environment to sense parameters and transmit to the base station (BS). Since the nodes in WSN communicate via a wireless channel, security remains a significant issue that needs to be resolved. The choice of cluster heads (CHs) is critical to achieving secure data transmission in WSN. In this aspect, this article presents a novel trust-aware mothflame optimization-based secure clustering (TAMFO-SC) technique for WSN. The goal of the TAMFO-SC technique is to determine the trust level of the nodes and determine the secure CHs. The proposed TAMFO-SC technique initially determines the nodes' trust level, and the node with maximum trust factor can be chosen as CHs. In addition, the TAMFO-SC technique derives a fitness function using two parameters, namely residual energy and trust level. The inclusion of trust level in the CH selection process helps to accomplish security in WSN. A comprehensive experimental analysis exhibits the promising performance of the TAMFO-SC technique over the other compared methods. 

Keywords :

Wireless sensor networks , Trust level , Security , Clustering , Cluster heads , Moth flame optimization , Energy efficiency.

References :

[1]            Pule, M., Yahya, A. and Chuma, J., 2017. Wireless sensor networks: A survey on monitoring water quality. Journal of applied research and technology, 15(6), pp.562-570.

[2]            Xie, H., Yan, Z., Yao, Z. and Atiquzzaman, M., 2018. Data collection for security measurement in wireless sensor networks: A survey. IEEE Internet of Things Journal, 6(2), pp.2205-2224.

[3]            Aponte-Luis, J., Gómez-Galán, J.A., Gómez-Bravo, F., Sánchez-Raya, M., Alcina-Espigado, J. and Teixido-Rovira, P.M., 2018. An efficient wireless sensor network for industrial monitoring and control. Sensors, 18(1), p.182.

[4]            Wang, B., Gu, X., Ma, L. and Yan, S., 2017. Temperature error correction based on BP neural network in meteorological wireless sensor network. International Journal of Sensor Networks, 23(4), pp.265-278.

[5]            Deng, F., Yue, X., Fan, X., Guan, S., Xu, Y. and Chen, J., 2018. Multisource energy harvesting system for a wireless sensor network node in the field environment. IEEE Internet of Things Journal, 6(1), pp.918-927.

[6]            Mohamed, R.E., Saleh, A.I., Abdelrazzak, M. and Samra, A.S., 2018. Survey on wireless sensor network applications and energy efficient routing protocols. Wireless Personal Communications, 101(2), pp.1019-1055.

[7]            Lombardo, L., Corbellini, S., Parvis, M., Elsayed, A., Angelini, E. and Grassini, S., 2017. Wireless sensor network for distributed environmental monitoring. IEEE Transactions on Instrumentation and Measurement, 67(5), pp.1214-1222.

[8]            Qi, J. and Liu, G.P., 2017. A robust high-accuracy ultrasound indoor positioning system based on a wireless sensor network. Sensors, 17(11), p.2554.

[9]            Miglani, A., Goel, S. and Bhatia, T.K., 2015. An energy efficient and trust aware framework for secure routing in LEACH for wireless sensor networks (Doctoral dissertation).

[10]          Gaber, T., Abdelwahab, S., Elhoseny, M. and Hassanien, A.E., 2018. Trust-based secure clustering in WSN-based intelligent transportation systems. Computer Networks, 146, pp.151-158.

[11]          Karthick, S., 2018. TDP: A novel secure and energy aware routing protocol for wireless sensor networks. International Journal of Intelligent Engineering and Systems, 11(2), pp.76-84.

[12]          Yang, L., Lu, Y., Liu, S., Guo, T. and Liang, Z., 2018. A dynamic behavior monitoring game-based trust evaluation scheme for clustering in wireless sensor networks. IEEE Access, 6, pp.71404-71412.

[13]          Sun, B. and Li, D., 2017. A comprehensive trust-aware routing protocol with multi-attributes for WSNs. IEEE Access, 6, pp.4725-4741.

[14]          AlFarraj, O., AlZubi, A. and Tolba, A., 2018. Trust-based neighbor selection using activation function for secure routing in wireless sensor networks. Journal of Ambient Intelligence and Humanized Computing, pp.1-11.

[15]          Mei, R.N.S., Sulaiman, M.H., Mustaffa, Z. and Daniyal, H., 2017. Optimal reactive power dispatch solution by loss minimization using moth-flame optimization technique. Applied Soft Computing, 59, pp.210-222.

 


Cite this Article as :
Style #
MLA Abdul Rahaman Wahab Sait, M. Ilayaraja. "Trust Aware Moth Flame Optimization based Secure Clustering for Wireless Sensor Networks." Journal of Intelligent Systems and Internet of Things, Vol. 0, No. 2, 2019 ,PP. 54-64 (Doi   :  https://doi.org/10.54216/JISIoT.000202)
APA Abdul Rahaman Wahab Sait, M. Ilayaraja. (2019). Trust Aware Moth Flame Optimization based Secure Clustering for Wireless Sensor Networks. Journal of Journal of Intelligent Systems and Internet of Things, 0 ( 2 ), 54-64 (Doi   :  https://doi.org/10.54216/JISIoT.000202)
Chicago Abdul Rahaman Wahab Sait, M. Ilayaraja. "Trust Aware Moth Flame Optimization based Secure Clustering for Wireless Sensor Networks." Journal of Journal of Intelligent Systems and Internet of Things, 0 no. 2 (2019): 54-64 (Doi   :  https://doi.org/10.54216/JISIoT.000202)
Harvard Abdul Rahaman Wahab Sait, M. Ilayaraja. (2019). Trust Aware Moth Flame Optimization based Secure Clustering for Wireless Sensor Networks. Journal of Journal of Intelligent Systems and Internet of Things, 0 ( 2 ), 54-64 (Doi   :  https://doi.org/10.54216/JISIoT.000202)
Vancouver Abdul Rahaman Wahab Sait, M. Ilayaraja. Trust Aware Moth Flame Optimization based Secure Clustering for Wireless Sensor Networks. Journal of Journal of Intelligent Systems and Internet of Things, (2019); 0 ( 2 ): 54-64 (Doi   :  https://doi.org/10.54216/JISIoT.000202)
IEEE Abdul Rahaman Wahab Sait, M. Ilayaraja, Trust Aware Moth Flame Optimization based Secure Clustering for Wireless Sensor Networks, Journal of Journal of Intelligent Systems and Internet of Things, Vol. 0 , No. 2 , (2019) : 54-64 (Doi   :  https://doi.org/10.54216/JISIoT.000202)