[HTML][HTML] Wireless body area network (WBAN): A survey on architecture, technologies, energy consumption, and security challenges

M Yaghoubi, K Ahmed, Y Miao - Journal of Sensor and Actuator Networks, 2022 - mdpi.com
Wireless body area networks (WBANs) are a new advance utilized in recent years to
increase the quality of human life by monitoring the conditions of patients inside and outside …

[HTML][HTML] Conceptual framework for future WSN-MAC protocol to achieve energy consumption enhancement

AS Sadeq, R Hassan, H Sallehudin, AHM Aman… - Sensors, 2022 - mdpi.com
Nowadays, the rapid deployment of Wireless Sensor Networks (WSNs) and the integration
of Internet of Things (IoT) technology has enabled their application to grow in various …

[HTML][HTML] Crack detection in concrete structures using deep learning

VP Golding, Z Gharineiat, HS Munawar, F Ullah - Sustainability, 2022 - mdpi.com
Infrastructure, such as buildings, bridges, pavement, etc., needs to be examined periodically
to maintain its reliability and structural health. Visual signs of cracks and depressions …

Chained-drones: Blockchain-based privacy-preserving framework for secure and intelligent service provisioning in internet of drone things

J Akram, M Umair, RH Jhaveri, MN Riaz, H Chi… - Computers and …, 2023 - Elsevier
We leverage blockchain technology for malicious node detection in Internet of Drone Things
(IoDTs). IoDTs additionally provide a secure mechanism of service delivery based on …

[HTML][HTML] An energy-saving and efficient deployment strategy for heterogeneous wireless sensor networks based on improved seagull optimization algorithm

L Cao, Z Wang, Z Wang, X Wang, Y Yue - Biomimetics, 2023 - mdpi.com
The Internet of Things technology provides convenience for data acquisition in
environmental monitoring and environmental protection and can also avoid invasive …

Efficient evolutionary modeling in solving maximization of lifetime of wireless sensor healthcare networks

R Marappan, PAH Vardhini, G Kaur, S Murugesan… - Soft Computing, 2023 - Springer
Wireless sensor networks are applied in different domains such as agriculture, military,
healthcare, and defense. The most critical issue in wireless sensor networks is achieving …

[HTML][HTML] A reinforcement learning-based sleep scheduling algorithm for compressive data gathering in wireless sensor networks

X Wang, H Chen, S Li - EURASIP Journal on Wireless Communications …, 2023 - Springer
Compressive data gathering (CDG) is an adequate method to reduce the amount of data
transmission, thereby decreasing energy expenditure for wireless sensor networks (WSNs) …

Dronessl: Self-supervised multimodal anomaly detection in internet of drone things

J Akram, A Anaissi, W Othman… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
In this study, we introduce a pioneering framework, DroneSSL, that integrates the concept of
spatial crowdsourcing with TinyML to enhance anomaly detection in the Internet of Drone …

[HTML][HTML] Big data management in drug–drug interaction: a modern deep learning approach for smart healthcare

M Salman, HS Munawar, K Latif, MW Akram… - Big Data and Cognitive …, 2022 - mdpi.com
The detection and classification of drug–drug interactions (DDI) from existing data are of
high importance because recent reports show that DDIs are among the major causes of …

Galtrust: Generative adverserial learning-based framework for trust management in spatial crowdsourcing drone services

J Akram, A Anaissi, RS Rathore… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
In the evolving landscape of consumer electronics, the Generative Adversarial Learning-
based Trust Management (GALTrust) framework emerges as a novel solution, uniquely …