International Journal of Wireless and Ad Hoc Communication

Journal DOI

https://doi.org/10.54216/IJWAC

Submit Your Paper

2692-4056ISSN (Online)
Full Length Article

International Journal of Wireless and Ad Hoc Communication

Volume 4, Issue 1, PP: 31-40, 2022 | Cite this article as | XML | | Html PDF

Trust Aware Manta Ray Foraging Optimization based Secure Routing Protocol for Wireless Sensor Networks

Mohammed. I. Alghamdi   1 * , Salwa. H. Alghamdi   2 , Abeer. Y. Salawi   3

  • 1 Department of Engineering and Computer Science - (mialmushilah@bu.edu.sa)
  • 2 College of Computer Science and Information Technology - (442021118@stu.bu.sa)
  • 3 Al-Baha University, Al-Baha City, Kingdom of Saudi Arabia - (442020222@stu.bu.edu.sa)
  • Doi: https://doi.org/10.54216/IJWAC.040103

    Received: October 05, 2021 Accepted: January 22, 2022
    Abstract

    In Wireless sensor network (WSN) is a different type of ad-hoc network has of battery powered minimum cost sensor node with restricted computation and communication abilities used densely from a target region. The routing in WSN roles is an essential part due to their inherent energy storing ability and is suitable to extremely scalable networks. The trust in WSN roles an essential play in creating the network and addition or deletion of sensor nodes in a network very smooth and translucent. The trust was formalized as a computational method. This study develops a novel Trust Aware Manta Ray Foraging Optimization based Secure Routing (TAMRFO-SR) protocol for WSN. The proposed TAMRFO-SR model accomplishes optimal and secure routes for WSN. In addition, the TAMRFO-SR model is mainly stimulated by the fascinating characteristics of manta rays. Besides, the TAMRFO-SR model derives a fitness function with multiple parameters for secure route selection process. Moreover, the inclusion of trust in the route selection process assists in accomplishing enhanced security. The design of TAMRFO-SR model for secure data transmission depicts the novelty of the study. The experimental validation of the TAMRFO-SR model demonstrates better performance over the other approaches.

    Keywords :

    Wireless sensor network , Security , Route selection , Fitness function , Routing , Manta ray optimization

    References

    [1] Arjunan, S. and Sujatha, P., 2018. Lifetime maximization of wireless sensor network using fuzzy based

    unequal clustering and ACO based routing hybrid protocol. Applied Intelligence, 48(8), pp.2229-2246.

    [2] Khot, P.S. and Naik, U., 2022. Taylor CMVO: Taylor Competitive Multi-Verse Optimizer for intrusion

    detection and cellular automata-based secure routing in WSN. International Journal of Intelligent

    Robotics and Applications, pp.1-17.

    [3] Meena, U. and Sharma, P., 2022. Secret Dynamic Key Authentication and Decision Trust Secure

    Routing Framework for Internet of Things Based WSN. Wireless Personal Communications, pp.1-29.

    [4] Arjunan, S. and Pothula, S., 2019. A survey on unequal clustering protocols in wireless sensor

    networks. Journal of King Saud University-Computer and Information Sciences, 31(3), pp.304-317.

    [5] Awan, S., Javaid, N., Ullah, S., Khan, A.U., Qamar, A.M. and Choi, J.G., 2022. Blockchain Based

    Secure Routing and Trust Management in Wireless Sensor Networks. Sensors, 22(2), p.411.

    [6] Rajasoundaran, S., Prabu, A.V., Routray, S., Malla, P.P., Kumar, G.S., Mukherjee, A. and Qi, Y., 2022.

    Secure routing with multi-watchdog construction using deep particle convolutional model for IoT

    based 5G wireless sensor networks. Computer Communications, 187, pp.71-82.

    [7] Taranath, N.L., Roopashree, H.R., Yogeesh, A.C., Darshan, L.M. and Subbaraya, C.K., 2022. Design

    and Development of Efficient Secure Routing Mechanism for Wireless Sensor Network. In Energy

    Conservation Solutions for Fog-Edge Computing Paradigms (pp. 233-266). Springer, Singapore.

    [8] Upeksha, R.G.C. and Pemarathne, W.P.J., 2022. Ant Colony Optimization Algorithms for Routing in

    Wireless Sensor Networks: A Review. Recent Advances in Electrical and Electronic Engineering and

    Computer Science, pp.47-57.

    [9] Arjunan, S. and Pothula, S., 2019. A survey on unequal clustering protocols in wireless sensor

    networks. Journal of King Saud University-Computer and Information Sciences, 31(3), pp.304-317.

    [10] Famila, S., Jawahar, A., Sariga, A. and Shankar, K., 2020. Improved artificial bee colony optimization

    based clustering algorithm for SMART sensor environments. Peer-to-Peer Networking and

    Applications, 13(4), pp.1071-1079.

    [11] Thangaramya, K., Kulothungan, K., Indira Gandhi, S., Selvi, M., Santhosh Kumar, S.V.N. and

    Arputharaj, K., 2020. Intelligent fuzzy rule-based approach with outlier detection for secured routing in

    WSN. Soft Computing, 24(21), pp.16483-16497.

    [12] Khot, P.S. and Naik, U., 2021. Particle-Water Wave Optimization for Secure Routing in Wireless

    Sensor Network Using Cluster Head Selection. Wireless Personal Communications, 119(3), pp.2405-

    2429.

    [13] Lazrag, H., Chehri, A., Saadane, R. and Rahmani, M.D., 2021. Efficient and secure routing protocol

    based on Blockchain approach for wireless sensor networks. Concurrency and Computation: Practice

    and Experience, 33(22), p.e6144.

    [14] Alotaibi, M., 2021. Improved Blowfish Algorithm-Based Secure Routing Technique in IoT-Based

    WSN. IEEE Access, 9, pp.159187-159197.

    [15] Zhao, W., Zhang, Z. and Wang, L., 2020. Manta ray foraging optimization: An effective bio-inspired

    optimizer for engineering applications. Engineering Applications of Artificial Intelligence, 87,

    p.103300.

    [16] Houssein, E.H., Emam, M.M. and Ali, A.A., 2021. Improved manta ray foraging optimization for

    multi-level thresholding using COVID-19 CT images. Neural Computing and Applications, 33(24),

    pp.16899-16919.

    [17] Elhoseny, M., Rajan, R.S., Hammoudeh, M., Shankar, K. and Aldabbas, O., 2020. Swarm intelligence–

    based energy efficient clustering with multihop routing protocol for sustainable wireless sensor

    networks. International Journal of Distributed Sensor Networks, 16(9), p.1550147720949133.

    [18] Vaiyapuri, T., Parvathy, V.S., Manikandan, V., Krishnaraj, N., Gupta, D. and Shankar, K., 2021. A

    novel hybrid optimization for cluster‐based routing protocol in information-centric wireless sensor

    networks for IoT based mobile edge computing. Wireless Personal Communications, pp.1-24.

    [19] Sahoo, R.R., Sardar, A.R., Singh, M., Ray, S. and Sarkar, S.K., 2016. A bio inspired and trust based

    approach for clustering in WSN. Natural Computing, 15(3), pp.423-434.

    Cite This Article As :
    Mohammed. I. Alghamdi, Salwa. H. Alghamdi, Abeer. Y. Salawi. "Trust Aware Manta Ray Foraging Optimization based Secure Routing Protocol for Wireless Sensor Networks." Full Length Article, Vol. 4, No. 1, 2022 ,PP. 31-40 (Doi   :  https://doi.org/10.54216/IJWAC.040103)
    Mohammed. I. Alghamdi, Salwa. H. Alghamdi, Abeer. Y. Salawi. (2022). Trust Aware Manta Ray Foraging Optimization based Secure Routing Protocol for Wireless Sensor Networks. Journal of , 4 ( 1 ), 31-40 (Doi   :  https://doi.org/10.54216/IJWAC.040103)
    Mohammed. I. Alghamdi, Salwa. H. Alghamdi, Abeer. Y. Salawi. "Trust Aware Manta Ray Foraging Optimization based Secure Routing Protocol for Wireless Sensor Networks." Journal of , 4 no. 1 (2022): 31-40 (Doi   :  https://doi.org/10.54216/IJWAC.040103)
    Mohammed. I. Alghamdi, Salwa. H. Alghamdi, Abeer. Y. Salawi. (2022). Trust Aware Manta Ray Foraging Optimization based Secure Routing Protocol for Wireless Sensor Networks. Journal of , 4 ( 1 ), 31-40 (Doi   :  https://doi.org/10.54216/IJWAC.040103)
    Mohammed. I. Alghamdi, Salwa. H. Alghamdi, Abeer. Y. Salawi. Trust Aware Manta Ray Foraging Optimization based Secure Routing Protocol for Wireless Sensor Networks. Journal of , (2022); 4 ( 1 ): 31-40 (Doi   :  https://doi.org/10.54216/IJWAC.040103)
    Mohammed. I. Alghamdi, Salwa. H. Alghamdi, Abeer. Y. Salawi, Trust Aware Manta Ray Foraging Optimization based Secure Routing Protocol for Wireless Sensor Networks, Journal of , Vol. 4 , No. 1 , (2022) : 31-40 (Doi   :  https://doi.org/10.54216/IJWAC.040103)