ICCK

James Adu Ansere

Faculty of Engineering and Applied Science, Memorial University of Newfoundland, St. John’s, NL, 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 , Scopus 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
The proliferation of unmanned aerial vehicles (UAVs) has driven the emergence of Flying Ad-hoc Networks (FANETs) as distributed cyber-physical computing systems for surveillance, disaster management, precision agriculture, and logistics. Optimizing computational and communication resource utilization within these constrained aerial systems is essential to extend network lifespan and maintain satisfactory quality of service (QoS). This study proposes integrating the Fisheye State Routing (FSR) protocol with a 3$\times$3 Manhattan Grid mobility model as a computing-systems solution for reliable data exchange in dynamic UAV swarm networks. FSR maintains distributed topology tables and applies... More >

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