Citation

Ahmad, Wasim and Ali, Farman and Roslee, Mardeni (2026) Internet of UAV things-based cloud computing for enhancing heterogeneous communication in urban environments. Future Generation Computer Systems, 183. p. 108538. ISSN 0167-739X

Text 3.pdf - Published Version Restricted to Repository staff only Download (3MB)

Abstract

Reliable communication between UAVs and IoT devices is mandatory for smart city applications such as traffic management and environmental monitoring. However, the existing frameworks that integrate UAVs and cloud computing often fall short of treating heterogeneous (HetNet) communication complexities within a dynamic urban scenario. This paper proposes a novel framework of Internet of UAV Things (IoUT)-based cloud computing for enhanced HetNet communication in an urban environment. The proposed framework supports a HetNet UAV and cloud computing approach to manage and process data from different IoT device sources. That is effectively enhancing network reliability and scalability in urban communication. Firstly, the problem is effectively resolved by integrating the mobility patterns of UAVs, their energy consumption, network coverage, and real-time data processing. Secondly, formulated through mathematical modeling of multiobjective optimization problems that minimize latency and energy consumption while maximizing coverage and reliability. Thirdly, the strategies, including UAV trajectories, dynamic network topology, and adaptive resource allocation, are investigated in this paper. Advanced stochastic optimization methods and machine-learning-based adaptive algorithms are used to solve optimization problems efficiently. The validation of the proposed model in terms of robustness and accuracy is carried out through ray tracing (RT) and graph neural network (GNN). Extended simulations and a prototype system confirm the feasibility and effectiveness of the proposed framework in real-life urban scenarios with appreciable improvement in communication reliability, latency reduction, and overall system efficiency.

Item Type:	Article
Uncontrolled Keywords:	Internet of UAV things, Urban communication optimization, Cloud computing, Network reliability, Heterogeneous networks
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5101-6720 Telecommunication. Including telegraphy, telephone, radio, radar, television
Divisions:	Faculty of Artificial Intelligence & Engineering (FAIE)
Depositing User:	Ms Suzilawati Abu Samah
Date Deposited:	08 Jun 2026 00:23
Last Modified:	08 Jun 2026 00:23
URII:	http://shdl.mmu.edu.my/id/eprint/16087

Downloads

Edit (login required)