Efficient and Secure Data Aggregation Scheme for Wireless Body Area Network DOI Open Access
Dur–e–Shawar Agha, Sadiq Ali Khan, Farheen Qazi

et al.

VFAST Transactions on Software Engineering, Journal Year: 2024, Volume and Issue: 12(4), P. 01 - 11

Published: Nov. 3, 2024

The growth of Wireless Body Area Networks (WBANs) has become an integral part electronic healthcare systems. WBANs use sensors to continuously collect patient data for health monitoring, which is later transmitted a remote location, such as medical server or mobile device, record-keeping. Due the limitations in terms energy, power, and computational capacity, efficient aggregation schemes are required minimize communication overhead during transmission WBANs. Additionally, necessitate secure transmission, records private confidential. In this research, we propose scheme that utilizes variance function aggregation, authentication code access, ChaCha20 encryption.

Language: Английский

Securing Wireless Body Area Networks data transmission with machine learning: A cross-tier framework for anomaly detection and intrusion prevention DOI Creative Commons
Md. Motaharul Islam, Md Shamshuzzoha

Deleted Journal, Journal Year: 2025, Volume and Issue: unknown, P. 100031 - 100031

Published: Feb. 1, 2025

Language: Английский

Citations

0
Accurate Range-Free Localization Using Cuckoo Search Optimization in IoT and Wireless Sensor Networks DOI Creative Commons
Abdelali Hadir,

Naima Kaabouch

Computers, Journal Year: 2024, Volume and Issue: 13(12), P. 319 - 319

Published: Dec. 2, 2024

Precise positioning of sensors is critical for the performance various applications in Internet Things and wireless sensor networks. The efficiency these networks heavily depends on precision node locations. Among localization approaches, DV-Hop highly recommended its simplicity robustness. However, despite popularity, suffers from significant accuracy issues, primarily due to reliance average hop size distance estimation. This limitation often results substantial errors, compromising overall network effectiveness. To address this gap, we developed an enhanced approach that integrates cuckoo search algorithm (CS). Our solution improves by introducing a normalized calculation leveraging optimization capabilities CS. hybrid refines estimation process, significantly reducing errors inherent traditional DV-Hop. Findings simulations reveal surpasses both original multiple other current methods, providing more precise reliable method IoT WSN applications.

Language: Английский

Citations

2
Efficient and Secure Data Aggregation Scheme for Wireless Body Area Network DOI Open Access
Dur–e–Shawar Agha, Sadiq Ali Khan, Farheen Qazi

et al.

VFAST Transactions on Software Engineering, Journal Year: 2024, Volume and Issue: 12(4), P. 01 - 11

Published: Nov. 3, 2024

The growth of Wireless Body Area Networks (WBANs) has become an integral part electronic healthcare systems. WBANs use sensors to continuously collect patient data for health monitoring, which is later transmitted a remote location, such as medical server or mobile device, record-keeping. Due the limitations in terms energy, power, and computational capacity, efficient aggregation schemes are required minimize communication overhead during transmission WBANs. Additionally, necessitate secure transmission, records private confidential. In this research, we propose scheme that utilizes variance function aggregation, authentication code access, ChaCha20 encryption.

Language: Английский

Citations

0