Authors:
Thanaa Hasan Yousif,Heyam A. Marzog,DOI NO:
https://doi.org/10.26782/jmcms.2026.02.00009Keywords:
Wireless Sensor Networks (WSN),Fuzzy Logic,Particle Swarm Optimization (PSO),Energy Efficiency,QoS-Aware Routing,UAV Networks,Trust Management.,Abstract
Wireless Sensor Networks (WSNs) are critical to modern IoT applications, yet their deployment is often constrained by limited energy, dynamic topologies, security vulnerabilities, and stringent Quality-of-Service (QoS) requirements. While existing approaches frequently address these challenges in isolation, this paper introduces a holistic routing framework that synergistically integrates an Improved Fuzzy Logic System (IFLS) with Particle Swarm Optimization (PSO) to balance multiple performance metrics in real time. Our hybrid model dynamically tunes routing parameters and fuzzy rules based on network state—including energy levels, congestion, node density, mobility, and security threats—thereby optimizing cluster-head selection, path stability, and trust-aware communication in UAV-assisted WSNs. Extensive simulations demonstrate that the proposed system achieves a 94.2% packet delivery ratio, reduces energy consumption by 48%, and extends network lifetime by 97% compared to contemporary fuzzy-based and trust-aware routing protocols. The work thus offers a scalable, adaptive, and energy-efficient routing solution suitable for large-scale, resource-constrained, and mobility-prone sensor networks. We also provide complete algorithmic specifications and reproducible simulation setups to facilitate validation and further research.Refference:
I. Alam, M. M., & Moh, S. (2023). Q-learning-based routing inspired by adaptive flocking control for collaborative unmanned aerial vehicle swarms. Vehicular Communications, 40, 100572.
II. Al-Shareefi, N. A., Aldhaibaini, J. A., Abbas, S. A., & Obaid, H. S. (2020). Towards 5G millimeter-wave wireless networks: a comparative study on electro-optical upconversion techniques. vol, 20, 1471-1478.
III. Aldhaibani, J. A., Yahya, A., & Ahmad, R. B. (2014). Optimizing power and mitigating interference in LTE-A cellular networks through optimum relay location. Elektronika ir Elektrotechnika, 20(7), 73-79.
IV. Chan, K. W., Nirmal, U., & Cheaw, W. G. (2018). Progress on drone technology and their applications: A comprehensive review. In AIP Conference Proceedings (Vol. 2030, p. 020308). Ho Chi Minh, Vietnam: AIP Publishing.
V. Colefax, A. P., Butcher, P. A., Pagendam, D. E., & Kelaher, B. P. (2019). Reliability of marine faunal detections in drone-based monitoring. Ocean & Coastal Management, 174, 108–115.
VI. Giusti, E., et al. (2023). A drone-based multisensory payload for maritime pollutants detections. IEEE Aerospace and Electronic Systems Magazine, 38(2), 4–18.
VII. Hosseinzadeh, M., et al. (2023). A novel fuzzy trust-based secure routing scheme in flying ad hoc networks. Vehicular Communications, 44, 100665.
VIII. Kumbhar, F. H., & Shin, S. Y. (2023). Innovating multi-objective optimal message routing for unified high mobility networks. IEEE Transactions on Vehicular Technology, 72(5), 6571–6583.
IX. Li, J., Zhang, G., Jiang, C., & Zhang, W. (2023). A survey of maritime unmanned search system: Theory, applications and future directions. Ocean Engineering, 285, 115359.
X. Li, S., Wang, F., Gaber, J., & Zhou, Y. (2020). An optimal relay number selection algorithm for balancing multiple performance in flying ad hoc networks. IEEE Access, 8, 225884–225901.
XI. Mahapatra, S. N., Singh, B. K., & Kumar, V. (2022). A secure multi-hop relay node selection scheme based data transmission in wireless ad hoc network via blockchain. Multimedia Tools and Applications, 81(13), 18343–18373.
XII. Mezaal, Y. S., & Abdulkareem, S. F. (2017). Affine cipher cryptanalysis using genetic algorithms. JP Journal of Algebra, Number Theory and Applications, 39(5), 785-802.
XIII. Mezaal, Y. S., Khaleel, S. K., Alameri, B. M., Al-Majdi, K., & Al-Hilali, A. A. (2024). Miniaturized microstrip dual-channel diplexer based on modified meander line resonators for wireless and computer communication technologies. Technologies, 12(5), 57.
XIV. Mezaal, Y. S., Khaleel, S. K., Al-Hillal, A. A., Azeez, A. R., Hemza, M. S., & Al-Majdi, M. (2024). State of art on microstrip resonators, filters, diplexers and triplexers. Journal of Mechanics of Continua and Mathematical Sciences, 19, 1-24.
XV. Mittal, H., & Joshi, A. (2023). Automatic ship detection using CFAR algorithm for quad-pol UAV-SAR imagery. In Proceedings of UASG 2021 (Vol. 304, pp. 199–210). Cham, Switzerland: Springer.
XVI. Mohsin, M. J., Marzog, H. A., & Therib, M. A. (2020). Enhancement throughput and increase security of image transmitted over wireless network using (DNC). In IOP Conference Series: Materials Science and Engineering (Vol. 928). Thi-Qar, Iraq: IOP Publishing.
XVII. Mozaffari, M., Saad, W., Bennis, M., & Debbah, M. (2017). Mobile unmanned aerial vehicles (UAVs) for energy-efficient Internet of Things communications. IEEE Transactions on Wireless Communications, 16(11), 7574–7589.
XVIII. Qian, L., Zhang, H., Wang, Q., Wu, Y., & Lin, B. (2023). Joint multi-domain resource allocation and trajectory optimization in UAV-assisted maritime IoT networks. IEEE Internet of Things Journal, 10(1), 539–552.
XIX. Rahmani, A. M., et al. (2022). OLSR+: A new routing method based on fuzzy logic in flying ad-hoc networks (FANETs). Vehicular Communications, 36, 100489.
XX. Roman, A., et al. (2023). Mapping intertidal oyster farms using unmanned aerial vehicles (UAV) high-resolution multispectral data. Estuarine, Coastal and Shelf Science, 291, 108432.
XXI. Saeed, S. R., et al .(2023). The study of deep learning for automotive logo recognition and classification. Periodicals of Engineering and Natural Sciences, 11(3), 255-268.
XXII. Shareef, M. S., Abd, T., & Mezaal, Y. S. (2020). Gender voice classification with huge accuracy rate. TELKOMNIKA (Telecommunication Computing Electronics and Control), 18(5), 2612-2617.
XXIII. Serov, V. A., Voronov, E. M., & Kozlov, D. A. (2021). A neuro-evolutionary synthesis of coordinated stable-effective compromises in hierarchical systems under conflict and uncertainty. Procedia Computer Science, 186, 257–268.
XXIV. Sharma, J., & Mehra, P. S. (2023). Secure communication in IoT-based UAV networks: A systematic survey. Internet of Things, 23, 100883.
XXV. Telli, K., et al. (2023). A comprehensive review of recent research trends on unmanned aerial vehicles (UAVs). Systems, 11(8), 400.
XXVI. Thakkar, P., Balaji, A., & Narwane, V. S. (2019). Intelligent unmanned aerial vehicles. In Proceedings of International Conference on Intelligent Manufacturing and Automation (pp. 485–494). Singapore: Springer.
XXVII. Tucker, J. P., et al. (2021). White shark behaviour altered by stranded whale carcasses: Insights from drones and implications for beach management. Ocean & Coastal Management, 200, 105477.
XXVIII. Tomah, Nahla Ali , Marwa Jaleel Mohsin, Thanaa Hasan Yousif.(2025). Journal of Optics. Wavelength-dependent cytotoxicity of platinum nanoparticles in photodynamic therapy against hepatocellular carcinoma.
XXIX. Van’t Hof, A., & Nieh, J. (2019). AnDrone: Virtual drone computing in the cloud. In Proceedings of the 14th EuroSys Conference (pp. 1–16). Dresden, Germany: ACM.
XXX. Wang, Z., et al. (2023). Learning to routing in UAV swarm network: A multi-agent reinforcement learning approach. IEEE Transactions on Vehicular Technology, 72(5), 6611–6624.
XXXI. Yahya, A., et al. (2016). Lte-a cellular networks. Multi-hop Relay for Coverage, Capacity and Performance Enhancement.
XXXII. Yang, T., Jiang, Z., Dong, J., Feng, H., & Yang, C. (2018). Multi agents to search and rescue based on group intelligent algorithm and edge computing. In Proceedings of IEEE iThings/GreenCom/CPSCom/SmartData (pp. 389–394). Halifax, NS, Canada: IEEE.
XXXIII. Yousif, Thanaa Hasan , Nahla Ali Tomah, Marwa Jaleel Mohsin(2023). Machine learning-based diagnosis of eye-diseases Indonesian Journal of Electrical Engineering and Computer Science. 32 (2), pp. 787~795.
XXXIV. Yousif, Thanaa Hasan, et al., Multiple transceivers based wimax mesh network to optimize routing algorithm.(2021) Journal of Physics: Conference Series.
XXXV. Zeng, Y., Zhang, R., & Lim, T. J. (2016). Wireless communications with unmanned aerial vehicles: Opportunities and challenges. IEEE Communications Magazine, 54(5), 36–42.