Volume 13 , Issue 2 , PP: 140-154, 2024 | Cite this article as | XML | Html | PDF | Full Length Article
D. Bhanu 1 * , R. Santhosh 2
Doi: https://doi.org/10.54216/JCIM.130211
A heterogeneous wireless sensor network (H-WSN) comprises multiple sensor nodes having varied abilities, like diverse processing power and sensing range. H-WSN deployment and topology control seem to be more difficult than homogeneous WSNs. Research on H-WSNs has increased in the last few years to improve real-time sensor networks' reliability and deliver better networking services than a homogenous WSN does. When it comes to H-WSN's energy consumption and security, the major problem remains the efficient routing process. To that end, this research aims at demonstrating how an efficient routing algorithm of hierarchical H-WSN can greatly enhance the network's performance. It is important to note that the nodes' capabilities mostly determine the suitability of a given routing algorithm. Hence, the H-WSN design issues for routing in a heterogeneous environment are discussed in this paper. This research designs an Optimal Energy Conservation and Security-aware Routing Algorithm (OECS-RA) for H-WSN using clustering and a secure-hop selection scheme. In this proposed model, the optimal cluster head selection and routing have been found through various computational stages based on the energy conservation of each sensor node. It further secures the transmission by selecting the secured node with credential factor computation and comparing each hop of the optimal route. The MATLAB simulation scenario finds the significant performance of the routing mechanism with security compared to existing models. The proposed OECS-RA gives highly recognizable throughput, lifetime, energy efficiency, and reliability. With these results, this proposed algorithm is suggested for real-time implementation in the medical industry, transportation, education, business, etc.
Heterogeneous Wireless Sensor Network , Energy Optimization , Cluster , Security , Routing
[1] Samadi, R., & Seitz, J. (2022, January). EEC-GA: Energy-Efficient Clustering Approach Using Genetic Algorithm for Heterogeneous Wireless Sensor Networks. In 2022 International Conference on Information Networking (ICOIN) (pp. 280-286). IEEE.
[2] Ou, X., Wu, M., Pu, Y., Tu, B., Zhang, G., & Xu, Z. (2022). Cuckoo search algorithm with fuzzy logic and Gauss–Cauchy for minimizing localization error of WSN. Applied Soft Computing, 125, 109211.
[3] Feng, Q., Chu, S. C., Pan, J. S., Wu, J., & Pan, T. S. (2022). Energy-Efficient Clustering Mechanism of Routing Protocol for Heterogeneous Wireless Sensor Network Based on Bamboo Forest Growth Optimizer. Entropy, 24(7), 980.
[4] Lei, Y., Qu, M., Lei, C., Kong, Z., Tian, J., & Wang, S. (2022). Two FCA-Based Methods for Reducing Energy Consumption of Sensor Nodes in Wireless Sensor Networks. Scientific Programming, 2022.
[5] Li, Z., Verma, S., & Jin, M. (2021). Power allocation in massive MIMO-HWSN based on the water-filling algorithm. Wireless Communications and Mobile Computing, 2021.
[6] Susan Shiny, G., & Muthu Kumar, B. (2022). E2IA-HWSN: Energy Efficient Dual Intelligent Agents based Data Gathering and Emergency Event Delivery in Heterogeneous WSN Enabled IoT. Wireless Personal Communications, 122(1), 379-408.
[7] Lakshmi, M., & Prashanth, C. R. (2022). A Back propagation Neural Network Model for HWSNs Using IMIMO with a Secured Routing Mechanism. IETE Journal of Research, 1-14.
[8] A. Sariga, J. Uthayakumar, Type 2 Fuzzy Logic based Unequal Clustering algorithm for multi-hop wireless sensor networks, Journal of International Journal of Wireless and Ad Hoc Communication, Vol. 1 , No. 1 , (2020) : 33-46 (Doi : https://doi.org/10.54216/IJWAC.010102)
[9] Lakshmi, M., & Prashanth, C. R. (2022). Throughput Improvement in Energy Efficient Heterogeneous Wireless Sensor Network. In ICDSMLA 2020 (pp. 17-34). Springer, Singapore.
[10] Alshawi, I. S., Abbood, Z. A., & Alhijaj, A. A. (2022). Extending lifetime of heterogeneous wireless sensor networks using spider monkey optimization routing protocol. TELKOMNIKA (Telecommunication Computing Electronics and Control), 20(1), 212-220.
[11] Manoharan, G., & Sumathi, A. (2022). Efficient routing and performance amelioration using Hybrid Diffusion Clustering Scheme in heterogeneous wireless sensor network. International Journal of Communication Systems, 35(15), e5281.
[12] Chauhan, R., & Ahluwalia, P. (2022, October). Novel scheme to resolve coverage and connectivity issue in wireless sensor networks. In AIP Conference Proceedings (Vol. 2555, No. 1, p. 050018). AIP Publishing LLC.
[13] Bozkaya, E., Karatas, M., & Eriskin, L. (2022). Heterogeneous wireless sensor networks: Deployment strategies and coverage models. Comprehensive Guide to Heterogeneous Networks, 1.
[14] Irshad, M. A Novel Method formulated on Secure Clustering and Secure Routing (SCSR) to bring forth advanced security for Hierarchical WSN’s.
[15] Abdul-Qawy, A. S. H., Nasser, A. B., Guroob, A. H., Saad, A. M. H., Alduais, N. A. M., & Khatri, N. (2021). TEMSEP: Threshold-Oriented and Energy-Harvesting Enabled Multilevel SEP Protocol for Improving Energy-Efficiency of Heterogeneous WSNs. IEEE Access, 9, 154975-155002.
[16] Abbas, N. A. F., Majeed, J. H., Al-Azzawi, W. K., & Ali, A. H. (2021). Investigation of energy-efficient protocols based on stable clustering for enhancing lifetime in heterogeneous WSNs. Bulletin of Electrical Engineering and Informatics, 10(5), 2643-2651.
[17] Zhang, Y., Zhang, X., Ning, S., Gao, J., & Liu, Y. (2019). Energy-efficient multilevel heterogeneous routing protocol for wireless sensor networks. IEEE Access, 7, 55873-55884.
[18] Parande, S., & Mallapur, J. D. (2022). Cost-Effective Modeling for Incorporating Flexibility by Securing Wireless Mobile Sensors Network. Wireless Personal Communications, 123(1), 727-744.
[19] Sathya Preiya V, Kumar VDA. Deep Learning-Based Classification and Feature Extraction for Predicting Pathogenesis of Foot Ulcers in Patients with Diabetes. Diagnostics. 2023; 13(12):1983. https://doi.org/10.3390/diagnostics13121983.
[20] Abedallah Zaid Abualkishik, Ali A. Alwan, Trust Aware Aquila Optimizer based Secure Data Transmission for Information Management in Wireless Sensor Networks, Journal of Journal of Cybersecurity and Information Management, Vol. 9 , No. 1 , (2022) : 40-51 (Doi : https://doi.org/10.54216/JCIM.090104)
[21] Mall, P., Amin, R., Obaidat, M. S., & Hsiao, K. F. (2021). CoMSeC++: PUF-based secured light-weight mutual authentication protocol for Drone-enabled WSN. Computer Networks, 199, 108476.
[22] Bhushan, B., & Sahoo, G. (2020). ISFC-BLS (intelligent and secured fuzzy clustering algorithm using balanced load sub-cluster formation) in WSN environment. Wireless Personal Communications, 111(3), 1667-1694.
[23] P. Sherubha, P Amudhavalli, SP Sasirekha, “Clone attack detection using random forest and multi-objective cuckoo search classification”, International Conference on Communication and Signal Processing (ICCSP), pp. 0450-0454, 2019.
[24] Hemamalini, Selvamani, and Visvam Devadoss Ambeth Kumar. 2022. "Outlier Based Skimpy Regularization Fuzzy Clustering Algorithm for Diabetic Retinopathy Image Segmentation" Symmetry 14, no. 12: 2512. https://doi.org/10.3390/sym14122512.
[25]Kumar, V.D.A., Sharmila, S., Kumar, A. et al. A novel solution for finding postpartum haemorrhage using fuzzy neural techniques. Neural Comput & Applic 35, 23683–23696 (2023). https://doi.org/10.1007/s00521-020-05683-z
[26] S. Dinesh, K. Maheswari, B. Arthi, P. Sherubha, A. Vijay, S. Sridhar, T. Rajendran, and Yosef Asrat Waji, “Investigations on Brain Tumor Classification Using Hybrid Machine Learning Algorithms”, Hindawi Journal of Healthcare Engineering, Volume 2022.
[27]Anita Soni, A Concentrated Energy Consumption Wireless Sensor Network by Symmetric Encryption and Attribute Based Encryption Technique, Journal of Journal of Cybersecurity and Information Management, Vol. 12 , No. 1 , (2023) : 08-18 (Doi : https://doi.org/10.54216/JCIM.120101)