A
Ammar Hawbani
Researcher at University of Science and Technology of China
Publications - 108
Citations - 1466
Ammar Hawbani is an academic researcher from University of Science and Technology of China. The author has contributed to research in topics: Computer science & Wireless sensor network. The author has an hindex of 11, co-authored 67 publications receiving 495 citations.
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Journal ArticleDOI
Zigzag Coverage Scheme Algorithm & Analysis for Wireless Sensor Networks
Ammar Hawbani,Xingfu Wang +1 more
TL;DR: An algorithm for WSN coverage based on Zigzag Pattern Scheme Deployment Algorithm expresses a very high coverage efficiency 91%, as well as, it expands and covers the whole interest area with minimum number of nodes, while it generates a very little coverage redundancy.
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Green internet of things using UAVs in B5G networks: A review of applications and strategies
Saeed H. Alsamhi,Saeed H. Alsamhi,Fatemeh Afghah,Radhya Sahal,Ammar Hawbani,Mohammed A. A. Al-qaness,Brian Lee,Mohsen Guizani +7 more
TL;DR: This survey presents an overview of the techniques and strategies proposed recently to achieve green IoT using UAVs infrastructure for a reliable and sustainable smart world.
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Green IoT for Eco-Friendly and Sustainable Smart Cities: Future Directions and Opportunities
Faris A. Almalki,Saeed H. Alsamhi,Saeed H. Alsamhi,Radhya Sahal,Radhya Sahal,Jahan Hassan,Ammar Hawbani,N. S. Rajput,Abdu Saif,Jeff Morgan,John G. Breslin +10 more
TL;DR: This survey focuses on providing a comprehensive review of the techniques and strategies for making cities smarter, sustainable, and eco-friendly and on IoT and its capabilities to merge into aspects of potential to address the needs of smart cities.
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Drones’ Edge Intelligence Over Smart Environments in B5G: Blockchain and Federated Learning Synergy
Saeed H. Alsamhi,Faris A. Almalki,Fatemeh Afghah,Ammar Hawbani,Alexey V. Shvetsov,Brian Lee,Houbing Song +6 more
TL;DR: The combination of FL and blockchain technological aspects, motivation, and framework for green smart environments, and the challenges and opportunities, and future trends in this domain are discussed.
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LORA: Load-Balanced Opportunistic Routing for Asynchronous Duty-Cycled WSN
TL;DR: Through an extensive performance evaluation study and simulation of large-scale scenarios, the results demonstrated that the protocol achieved better performance compared to the state-of-the-art solutions in terms of network lifetime, energy consumption, routing efficiency, sender waiting time, and duplicate packets.