El-Sayed Hamdy H, Abd-Elgaber Elham M, Zanaty E A, Alsubaei Faisal S, Almazroi Abdulaleem Ali, Bakheet Samy S
Department of Computer Science, Faculty of Computers and Artificial Intelligence, Sohag University, Sohag, 82524, Egypt.
Department of Cybersecurity, College of Computer Science and Engineering, University of Jeddah, Jeddah, Saudi Arabia.
Sci Rep. 2024 Nov 6;14(1):26943. doi: 10.1038/s41598-024-75904-1.
This paper presents NN_ILEACH, a novel neural network-based routing protocol designed to enhance the energy efficiency and longevity of Wireless Sensor Networks (WSNs). By integrating the Energy Hole Removing Mechanism (EHORM) with a sophisticated neural network for cluster head selection, NN_ILEACH effectively addresses the energy depletion challenges associated with traditional protocols like LEACH and ILEACH. Our extensive simulations demonstrate that NN_ILEACH significantly outperforms these classical protocols. Specifically, NN_ILEACH extends the network lifetime to an impressive 11,361 rounds, compared to only 505 rounds achieved by LEACH under identical conditions-representing a more than 20-fold improvement. Additionally, NN_ILEACH achieves a 30% increase in throughput and a 25% enhancement in packet delivery ratio, while reducing overall energy consumption by 40%. These results underscore the protocol's potential to optimize energy usage and maintain network stability, paving the way for more resilient IoT systems in dynamic environments. Future work will explore further integration of machine learning techniques to enhance adaptability and performance in WSNs.
本文介绍了NN_ILEACH，这是一种基于神经网络的新型路由协议，旨在提高无线传感器网络（WSN）的能源效率和使用寿命。通过将能量空洞消除机制（EHORM）与用于簇头选择的复杂神经网络相结合，NN_ILEACH有效地解决了与传统协议（如LEACH和ILEACH）相关的能量消耗挑战。我们广泛的模拟表明，NN_ILEACH明显优于这些经典协议。具体而言，NN_ILEACH将网络寿命延长至令人印象深刻的11361轮，而在相同条件下LEACH仅达到505轮，这代表了超过20倍的提升。此外，NN_ILEACH的吞吐量提高了30%，数据包交付率提高了25%，同时总体能耗降低了40%。这些结果强调了该协议在优化能源使用和维持网络稳定性方面的潜力，为动态环境中更具弹性的物联网系统铺平了道路。未来的工作将探索进一步整合机器学习技术，以提高无线传感器网络的适应性和性能。
