Volume 9 , Issue 1 , PP: 40-51, 2022 | Cite this article as | XML | Html | PDF | Full Length Article
Abedallah Zaid Abualkishik 1 * , Ali A. Alwan 2
Doi: https://doi.org/10.54216/JCIM.090104
The province of wireless sensor network (WSN) is increasing continuously because of wide-ranging applications, namely, monitoring environmental conditions, military, and many other fields. But trust management in the WSN is the main objective as trust was utilized once cooperation among nodes becomes crucial to attaining reliable transmission. Thus, a new trust-based routing protocol is introduced to initiate secure routing. This study focuses on the design of Trust Aware Aquila Optimizer based Secure Data Transmission for Information Management (TAAO-SDTIM) in WSN. The presented TAAO-SDTIM model mainly intends to achieve maximum security and information management in WSN. The presented TAAO-SDTIM model determines optimum set of routes to base station (BS) utilizing a fitness function involving three parameters like residual energy (RE), distance to BS (DBS), and trust level (TL). The incorporation of the trust level of the nodes in the route selection process aids in appropriately selecting highly secure nodes in the data transmission procedure. For ensuring the enhanced performance of the TAAO-SDTIM model, a wide range of experiments are executed and the results pointed out the improved outcomes of the TAAO-SDTIM model over the other recent approaches.
Trust, Security, Information management, Wireless sensor networks, Fitness function.
[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] Fang, W., Zhang, W., Yang, W., Li, Z., Gao, W. and Yang, Y., 2021. Trust management-based and energy efficient hierarchical routing protocol in wireless sensor networks. Digital Communications and Networks, 7(4), pp.470-478.
[3] 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.
[4] Khan, T. and Singh, K., 2021. TASRP: a trust aware secure routing protocol for wireless sensor networks. International Journal of Innovative Computing and Applications, 12(2-3), pp.108-122.
[5] Arjunan, S., Pothula, S. and Ponnurangam, D., 2018. F5N‐based unequal clustering protocol (F5NUCP) for wireless sensor networks. International Journal of Communication Systems, 31(17), p.e3811.
[6] Uthayakumar, J., Vengattaraman, T. and Arjunan, S., 2022. An Efficient Near Lossless Image Compression Algorithm Using Dissemination of Spatial Correlation for Remote Sensing Color Images. Wireless Personal Communications, 122(4), pp.2963-2994.
[7] 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.
[8] Khan, T., Singh, K., Hasan, M.H., Ahmad, K., Reddy, G.T., Mohan, S. and Ahmadian, A., 2021. ETERS: A comprehensive energy aware trust-based efficient routing scheme for adversarial WSNs. Future Generation Computer Systems, 125, pp.921-943.
[9] Hema Kumar, M., Mohanraj, V., Suresh, Y., Senthilkumar, J. and Nagalalli, G., 2021. Trust aware localized routing and class based dynamic block chain encryption scheme for improved security in WSN. Journal of Ambient Intelligence and Humanized Computing, 12(5), pp.5287-5295.
[10] Sakthidasan, K., Gao, X.Z., Devabalaji, K.R. and Roopa, Y.M., 2021. Energy based random repeat trust computation approach and Reliable Fuzzy and Heuristic Ant Colony mechanism for improving QoS in WSN. Energy Reports, 7, pp.7967-7976.
[11] Selvi, M., Santhosh Kumar, S.V.N., Ganapathy, S., Ayyanar, A., Khanna Nehemiah, H. and Kannan, A., 2021. An energy efficient clustered gravitational and fuzzy based routing algorithm in WSNs. Wireless Personal Communications, 116(1), pp.61-90.
[12] Shafiq, M., Ashraf, H., Ullah, A., Masud, M., Azeem, M., Jhanjhi, N. and Humayun, M., 2021. Robust cluster-based routing protocol for IoT-assisted smart devices in WSN. Comput. Mater. Contin, 67, pp.3505-3521.
[13] Sharma, D. and Tomar, G.S., 2021. Energy Efficient Multitier Random DEC Routing Protocols for WSN: In Agricultural. Wireless Personal Communications, 120(1), pp.727-747.
[14] Miao, Y., Zhao, C. and Wu, H., 2021. Non-uniform clustering routing protocol of wheat farmland based on effective energy consumption. International Journal of Agricultural and Biological Engineering, 14(3), pp.163-170.
[15] Rathore, P.S., Chatterjee, J.M., Kumar, A. and Sujatha, R., 2021. Energy-efficient cluster head selection through relay approach for WSN. The Journal of Supercomputing, 77(7), pp.7649-7675.
[16] Abualigah, L., Yousri, D., Abd Elaziz, M., Ewees, A.A., Al-Qaness, M.A. and Gandomi, A.H., 2021. Aquila optimizer: a novel meta-heuristic optimization algorithm. Computers & Industrial Engineering, 157, p.107250.
[17] AlRassas, A.M., Al-qaness, M.A., Ewees, A.A., Ren, S., Abd Elaziz, M., Damaševičius, R. and Krilavičius, T., 2021. Optimized ANFIS model using Aquila Optimizer for oil production forecasting. Processes, 9(7), p.1194.
[18] Rodrigues, P. and John, J., 2020. Joint trust: An approach for trust-aware routing in WSN. Wireless Networks, 26(5), pp.3553-3568.