7 papers
Energy-Efficient Hierarchical Federated Anomaly Detection for the Internet of Underwater Things via Selective Cooperative Aggregation
Kenechi Omeke, Michael Mollel, Lei Zhang +2
Anomaly detection is a core service in the Internet of Underwater Things, yet training accurate distributed models underwater is difficult because acoustic links are low-bandwidth,…
Machine Learning for the Internet of Underwater Things: From Fundamentals to Implementation
Kenechi Omeke, Attai Abubakar, Michael Mollel +3
The Internet of Underwater Things (IoUT) is becoming a critical infrastructure for ocean observation, marine resource management, and climate science. Its development is hindered b…
Reconfigurable Intelligent Surface-Assisted Cross-Layer Authentication for Secure and Efficient Vehicular Communications
Mahmoud A. Shawky, Syed Tariq Shah, Ahmed G. Abdellatif +4
Intelligent transportation systems increasingly depend on wireless communication for broadcasting traffic messages and facilitating real-time vehicular communication. In this conte…
Millimeter-Wave Communication Testbed Using Digital Coding Dynamic Metasurface Antenna: Practical Design and Implementation
Abdul Jabbar, Mostafa Elsayed, Jalil Ur-Rehman Kazim +7
Dynamic Metasurface Antennas (DMAs) are transforming reconfigurable antenna technology by enabling energy-efficient, cost-effective beamforming through programmable meta-elements,…
High Performance 5G FR-2 Millimeter-Wave Antenna Array for Point-to-Point and Point-to-Multipoint Operation: Design and OTA Measurements Using a Compact Antenna Test Range
Abdul Jabbar, Jalil Ur-Rehman Kazim, Mahmoud A. Shawky +4
This paper presents the design and comprehensive measurements of a high-performance 8-element linear array and a compact high-gain 32-element planar antenna array covering the n257…
Deep Reinforcement Learning for Energy-Efficient on the Heterogeneous Computing Architecture
Zheqi Yu, Chao Zhang, Pedro Machado +4
The growing demand for optimal and low-power energy consumption paradigms for IOT devices has garnered significant attention due to their cost-effectiveness, simplicity, and intell…