ICCK

James Adu Ansere

Faculty of Engineering and Applied Science, Memorial University, Canada

Section 01

Academic Profile

James Adu Ansere received his BSc in Physics in 2007, from University of Cape Coast, Ghana and MSc in Telecommunication Engineering from Blekinge Institute of Technology, Sweden, 2012, and PhD in Information and Communication Engineering, Hohai University, 2021. Currently, he is a Postdoctoral Research Fellow in the Faculty of Engineering and Applied Science, at Memorial University Newfoundland, Canada. He has been Deputy Director of Research, Grant, and Development, at the Sunyani Technical University, Ghana. His research areas include Quantum Machine Learning and Optimization, the Internet of Vehicles, Semantic Communications, Digital Twin Networks, and the Internet of Things. He has published in top-notch journals and international conferences. He is a member of IEEE.

Section 02

Editorial Roles

This user currently does not serve as an editor for any ICCK journals.

Section 03

ICCK Publications

Open Access | Research Article | 12 May 2026 | Cited: Crossref logo  1
Reliable Data Exchange in UAV Swarm Networks Using Advanced Networking Techniques
ICCK Transactions on Advanced Computing and Systems | Volume 2, Issue 3: 212-224, 2026 | DOI: 10.62762/TACS.2025.747408
Abstract
In recent decades, there has been a growing demand for eco-friendly unmanned aerial vehicles (UAVs) in both civilian and military domains. This has created interest among scholars and industry experts who envision Flying Ad-hoc Networks (FANETs) supplanting conventional networks in contexts such as surveillance, disaster management, precision agriculture, and logistics. Despite the constraints of UAV resources, it is crucial to optimize UAV resource utilization to extend network lifespan and uphold a satisfactory quality of experience (QoE). This study examines the application of the Fisheye State Routing (FSR) protocol to facilitate communication among multiple UAVs within a dynamic network... More >

Graphical Abstract
Reliable Data Exchange in UAV Swarm Networks Using Advanced Networking Techniques