J
Jahan Hassan
Researcher at Central Queensland University
Publications - 42
Citations - 468
Jahan Hassan is an academic researcher from Central Queensland University. The author has contributed to research in topics: Wireless network & Computer science. The author has an hindex of 10, co-authored 36 publications receiving 268 citations. Previous affiliations of Jahan Hassan include University of New South Wales & University of Sydney.
Papers
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Journal ArticleDOI
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.
Journal ArticleDOI
Trust-Based Fast Authentication for Multiowner Wireless Networks
TL;DR: It is found that, even with the basic implementation, the average number of full authentications needed for a roaming mobile reduces linearly as the likelihood of two neighboring APs trusting each other increases.
Proceedings ArticleDOI
Optimising expanding ring search for multi-hop wireless networks
Jahan Hassan,Sanjay Jha +1 more
TL;DR: A theoretical model is developed and it is shown that an optimal L exists for any random network topology and can be reduced up to 52% depending on the topology.
Book ChapterDOI
On the optimization trade-offs of expanding ring search
Jahan Hassan,Sanjay Jha +1 more
TL;DR: This paper analyzes the locating time and overhead that are two contradicting metrics of ERS performance and suggests ways to reduce the overhead.
Journal ArticleDOI
Computing in the Sky: A Survey on Intelligent Ubiquitous Computing for UAV-Assisted 6G Networks and Industry 4.0/5.0
Saeed H. Alsamhi,Alexey V. Shvetsov,Santosh Kumar,Jahan Hassan,Mohammed A. Alhartomi,Svetlana V. Shvetsova,Radhya Sahal,Ammar Hawbani +7 more
TL;DR: The utility of UAV computing and the critical role of Federated Learning (FL) in meeting the challenges related to energy, security, task offloading, and latency of IoT data in smart environments are highlighted.