Developing a Hybrid Approach with Whale Optimization and Deep Convolutional Neural Networks for Enhancing Security in Smart Home Environments’ Sustainability Through IoT Devices DOI Open Access

R Kavitha,

Balamurugan Vaithiyanathan

Sustainability, Journal Year: 2024, Volume and Issue: 16(24), P. 11040 - 11040

Published: Dec. 16, 2024

Even while living circumstances and construction techniques have generally improved, occupants of these spaces frequently feel unsatisfied with the sense security they provide, which leads to looking for eventually enacting ever-more-effective safety precautions. The continuous uncertainty that contemporary individuals experience, particularly regard their protection in places like cities, prompted field computing design smart devices attempt reduce threats ultimately strengthen people’s protection. Intelligent apps were developed provide make a residence safe home. proliferation technology homes necessitates implementation rigorous precautions protect users’ personal information avoid illegal access. importance establishing cyber has been recognized by academic business institutions all around globe. Providing reliable computation Internet Things (IoT) is also crucial. A new method enhancing home environments’ sustainability using IoT presented this paper, combining Whale Optimization Algorithm (WOA) Deep Convolutional Neural Networks (DCNNs). WOA-DCNN hybridization seeks enhance measures efficiently identifying averting possible attacks real time. We show how effective proposed approach defending systems from range risks via in-depth testing analysis. By providing potential path protecting surroundings world growing more linked, research advances state art security.

Language: Английский

Efficient Communication in Wireless Sensor Networks Using Optimized Energy Efficient Engroove Leach Clustering Protocol DOI Open Access

N. Meenakshi,

Sultan Ahmad, A. V. Prabu

et al.

Tsinghua Science & Technology, Journal Year: 2024, Volume and Issue: 29(4), P. 985 - 1001

Published: Feb. 9, 2024

The Wireless Sensor Network (WSN) is a network that constructed in regions are inaccessible to human beings. widespread deployment of wireless micro sensors will make it possible conduct accurate environmental monitoring for use both civil and military environments. They these data monitor keep track the physical surrounding environment order ensure sustainability area. have be picked up by sensor, then sent sink node where they may processed. nodes WSNs powered batteries, therefore eventually run out power. This energy restriction has an effect on life span sustainability. objective this study further improve Engroove Leach (EL) protocol's efficiency so can operate very long time while consuming least amount energy. lifespan being extended often using clustering routing strategies. Meta Inspired Hawks Fragment Optimization (MIHFO) system, which based passive clustering, used do clustering. cluster head chosen nodes' residual energy, distance neighbors, base station, degree, centrality. Based distance, algorithm known as Heuristic Wing Antfly (HWAFO) selects optimum path between Base Station (BS). examine number active, their consumption, packets BS receives. overall experimentation carried under MATLAB environment. From analysis, been discovered suggested approach yields noticeably superior outcomes terms throughput, packet delivery drop ratio, average consumption.

Language: Английский

Citations

26
Enabling Resilient Wireless Networks: OFDMA-Based Algorithm for Enhanced Survivability and Privacy in 6G IoT Environments DOI
Sudan Jha, Sultan Ahmad, Hikmat A. M. Abdeljaber

et al.

IEEE Transactions on Consumer Electronics, Journal Year: 2024, Volume and Issue: 70(1), P. 3810 - 3819

Published: Feb. 1, 2024

In the evolving landscape of next-generation wireless networks, ensuring survivability and privacy Internet Things (IoT) networks is paramount. This paper introduces a pioneering algorithm', Enabling Resilient Wireless Networks', designed for orthogonal frequency division multiple access (OFDMA) systems in cognitive radio with focus on 6G IoT environments. The proposed algorithm strategically divides downlink OFDMA structures, addressing spectrum scarcity challenges leveraging OFDM technique reliable effective transmission. Through comprehensive simulations, we demonstrate that not only achieves higher throughput but also enhances security, surpassing existing models such as Rayleigh Rician. results underscore efficacy our approach, showing significant improvement bit error rate (10 dB SNR) compared to Rician models. work contributes overarching themes survivability, performance evaluation Next-Generation Networks. Future will involve testbed implementations validate system's real-world application

Language: Английский

Citations

4
Application of Deep Neural Networks in Multi-Hop Wireless Sensor Network (WSN) Channel Optimization DOI Open Access
Yiyang Chen

Applied Mathematics and Nonlinear Sciences, Journal Year: 2025, Volume and Issue: 10(1)

Published: Jan. 1, 2025

Abstract Optimizing communication channels in multi-hop wireless sensor networks (WSNs) is critical for improving network efficiency, energy consumption, and data transmission reliability. Traditional optimization methods often rely on heuristic algorithms, which may struggle with dynamic conditions high-dimensional feature spaces. This paper explores the application of deep neural (DNNs) to optimize WSN channel allocation routing strategies. By leveraging learning, model learns adaptive policies that minimize interference, reduce latency, enhance overall performance. The proposed framework integrates reinforcement learning techniques convolutional recurrent architectures capture spatial-temporal variations quality. Experimental results demonstrate DNN-based approach outperforms conventional terms throughput, stability under varying traffic loads environmental conditions. These findings highlight potential real-time, intelligent optimization.

Language: Английский

Citations

0
Security in Optical Wireless Communication-Based Vehicular Ad Hoc Networks Using Signature and Certificate Revocation DOI
Mohammad Khalid Imam Rahmani, Mohammad Arif, Sultan Ahmad

et al.

Journal of Nanoelectronics and Optoelectronics, Journal Year: 2024, Volume and Issue: 19(1), P. 112 - 119

Published: Jan. 1, 2024

A vehicular ad hoc network is a capable method of making possible road well-being, traffic supervision, as well information distribution for driving users and travelers. One definitive objective in the blueprint this type to refuse accept variety malevolent mistreatment security assaults. The paper analyzed existing procedure, which has covered ways offering duties conserving user solitude context wireless access environments (WAVE) applications. To make standards more realistic, it considers techniques certificate revocation conditional privacy preservation. These are found be most promising ones networks (VANET). Therefore, group narrative methods proposed safe implementation For enhancement security, proposes that message should encapsulated with proper duly signed. faster communication, we propose use optical communication (OWC) between an onboard unit (OBU) roadside (RSU).

Language: Английский

Citations

2
An Extensive study on Energy Efficient Clustering and Routing Protocols in Wireless Sensor Networks (WSN) DOI

Raghu Srinivasamurthy,

Prameela Kumari N,

Nikhath Tabassum

et al.

Published: May 2, 2024

Language: Английский

Citations

0
Evaluating the Power-Efficient Communication Technique (PECT) for Energy Optimization in Wireless Sensor Networks DOI
R. Manikandan, Seema Devi

Published: Aug. 23, 2024

Language: Английский

Citations

0
Developing a Hybrid Approach with Whale Optimization and Deep Convolutional Neural Networks for Enhancing Security in Smart Home Environments’ Sustainability Through IoT Devices DOI Open Access

R Kavitha,

Balamurugan Vaithiyanathan

Sustainability, Journal Year: 2024, Volume and Issue: 16(24), P. 11040 - 11040

Published: Dec. 16, 2024

Even while living circumstances and construction techniques have generally improved, occupants of these spaces frequently feel unsatisfied with the sense security they provide, which leads to looking for eventually enacting ever-more-effective safety precautions. The continuous uncertainty that contemporary individuals experience, particularly regard their protection in places like cities, prompted field computing design smart devices attempt reduce threats ultimately strengthen people’s protection. Intelligent apps were developed provide make a residence safe home. proliferation technology homes necessitates implementation rigorous precautions protect users’ personal information avoid illegal access. importance establishing cyber has been recognized by academic business institutions all around globe. Providing reliable computation Internet Things (IoT) is also crucial. A new method enhancing home environments’ sustainability using IoT presented this paper, combining Whale Optimization Algorithm (WOA) Deep Convolutional Neural Networks (DCNNs). WOA-DCNN hybridization seeks enhance measures efficiently identifying averting possible attacks real time. We show how effective proposed approach defending systems from range risks via in-depth testing analysis. By providing potential path protecting surroundings world growing more linked, research advances state art security.

Language: Английский

Citations

0