Fusion: Practice and Applications FPA 2692-4048 2770-0070 10.54216/FPA https://www.americaspg.com/journals/show/1254 2018 2018 Faculty of Information and Communication Sciences, University of Ilorin, Nigeria Joseph Joseph School of Computer Engineering, Kalinga Institute of Industrial Technology, India Hrudaya K. Tripathy Kalinga Institute of Industrial Technology (KIIIT) Bhubaneswar, Odisha, India Anjan Bandyopadhyay The recent wide acceptance of cloud and virtualization technologies has made a number of Internet of Things (IoT) applications practical. Although these technologies are typically useful, they may introduce a high transmission latency in IoT environments, e.g., data fusion in smart cities. To address this issue, fog computing, a distributed decentralized computing layer between IoT hardware and the cloud layer, can be used. To facilitate the use of fog computing in IoT data fusion environments, this paper proposes a new Hybrid Particle Swarm Optimization with Firefly based Resource Provisioning Technique (HPSOFF-RPT) model for fog-cloud computing platforms. The HPSOFF-RPT model is designed to optimize resource allocation and distribution in IoT environments. The model uses the  PSO and FF algorithms to provision resources in the fog-cloud environment. To evaluate performance, a wide-ranging simulation analysis is performed. The simulation results show that the proposed model improves performance compared to the existing optimization algorithms. 2022 2022 25 35 10.54216/FPA.080203 https://www.americaspg.com/articleinfo/3/show/1254