The Centralized Infrastructure-Aware Reliable Data Transaction Model in IoT-Enabled MANET and Cloud Using PSOA and RNN

Reliable Data Transaction

Abstract

The proposed data transaction model performs well, it is indeed well-performed as to PSOA properly combined with RNN. From the above traditional techniques with poor PSOA of FANET and TLBO and MLRP, the model was able to achieve 98.78% PDR, 98.42% detection accuracy, and 93% energy efficiency. This is important in ensuring secure IoT-enabled real-time data transfer in MANETs. Mobile Ad-hoc Network MANETs was first utilized in military in decentralized data transfer without any fixed infrastructure. Over time, it began to be used in IoT technologies and smart cities. Furthermore, the challenges have also triggered the employment of advanced techniques such as machine learning and optimization algorithms based routing compared to early routing protocols like DSR and A d-hoc On-demand distance vector AODV that are insecure and unproductive. This project presents a concept that is infrastructure-aware and centralized for secure data transmission over the Internet of things capable MANETs. The model optimizes the cluster head selection technique through PSOA, therefore, reduced energy consumption, and increased routing efficiency. RNNs have been used in security to recognize intrusions while data is transferred. While their data is encrypted via ECC and the paths have been built by AODV protocol. Only the hash comparisons, which are saved on the fog servers, are utilized for path verification. Results: From the results, the proposed model outperforms traditional methods that have only resulted in 40% fewer energy and 25 ms latency. Apart from that, the proposed model has obtained a PDR of 98.78 % and detection accuracy of 98.42 %. Therefore, the results, insecurity, performance, and ubiquity, have been enhanced compared to previous work with FANET and TLBO & MLRP. Conclusion: The model is suitable for smart cities, and this will work on the proposed system that requires secure transfer and energy utilizations in IoT enabled for MANETs. The proposed model has outperformed the prior work, and the PDR is 98.78 % under a different traffic condition, and the energy efficiency is more than 93 %. For future works, we can improve the proposed system with other advanced techniques like deep learning, and blockchain.