M
Muhammad R. Ahmed
Researcher at University of Canberra
Publications - 42
Citations - 587
Muhammad R. Ahmed is an academic researcher from University of Canberra. The author has contributed to research in topics: Wireless sensor network & Key distribution in wireless sensor networks. The author has an hindex of 9, co-authored 39 publications receiving 391 citations. Previous affiliations of Muhammad R. Ahmed include King Abdulaziz University & University of Portsmouth.
Papers
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Journal ArticleDOI
Toward a Heterogeneous Mist, Fog, and Cloud-Based Framework for the Internet of Healthcare Things
Md. Asif-Ur-Rahman,Fariha Afsana,Mufti Mahmud,M. Shamim Kaiser,Muhammad R. Ahmed,Omprakash Kaiwartya,Anne James-Taylor +6 more
TL;DR: Results obtained by simulating the framework indicate that the designed network via its various components can achieve high QoS, with reduced end-to-end latency and packet drop rate, which is essential for developing next generation ${e}$ -healthcare systems.
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Energy-efficiency and reliability in MAC and routing protocols for underwater wireless sensor network
TL;DR: It is found that the protocols for UWSN are highly selective, and the fitness of any protocol depends solely on the application and design requirements, which is addressed by this review.
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An Energy Conserving Routing Scheme for Wireless Body Sensor Nanonetwork Communication
TL;DR: This work proposes an improved performance scheme of nanocommunication over terahertz bands for wireless BSNs making it suitable for smart e-health applications and demonstrates the efficiency of the proposed scheme through maximized energy utilization in both single and multihop communications.
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Towards an Accelerometer-Based Elderly Fall Detection System Using Cross-Disciplinary Time Series Features
Md. Jaber Al Nahian,Tapotosh Ghosh,Md. Hasan Al Banna,Mohammed Aseeri,Mohammed Nasir Uddin,Muhammad R. Ahmed,Mufti Mahmud,M. Shamim Kaiser +7 more
TL;DR: Wang et al. as mentioned in this paper proposed a novel pipeline for fall detection based on wearable accelerometer data and three publicly available datasets have been used to validate their proposed method, and more than 7700 cross-disciplinary time-series features were investigated for each of the datasets.
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Security Threats and Artificial Intelligence Based Countermeasures for Internet of Things Networks: A Comprehensive Survey
Shakila Zaman,Khaled Alhazmi,Mohammed Aseeri,Muhammad R. Ahmed,Risala Tasin Khan,M. Shamim Kaiser,Mufti Mahmud +6 more
TL;DR: In this paper, a comprehensive layer-wise survey on IoT security threats, and the AI-based security models to impede security threats is presented, and open challenges and future research directions are addressed for the safeguard of the IoT network.