Distributed CNN Inference on Resource-Constrained UAVs for Surveillance Systems: Design and Optimization
MetadataShow full item record
Unmanned aerial vehicles (UAVs) have attracted great interest in the last few years owing to their ability to cover large areas and access difficult and hazardous target zones, which is not the case of traditional systems relying on direct observations obtained from fixed cameras and sensors. Furthermore, thanks to the advancements in computer vision and machine learning, UAVs are being adopted for a broad range of solutions and applications. However, deep neural networks (DNNs) are progressing toward deeper and complex models that prevent them from being executed onboard. In this article, we propose a DNN distribution methodology within UAVs to enable data classification in resource-constrained devices and avoid extra delays introduced by the server-based solutions due to data communication over air-to-ground links. The proposed method is formulated as an optimization problem that aims to minimize the latency between data collection and decision-making while considering the mobility model and the resource constraints of the UAVs as part of the air-to-air communication. We also introduce the mobility prediction to adapt our system to the dynamics of UAVs and the network variation. The simulation conducted to evaluate the performance and benchmark the proposed methods, namely, optimal UAV-based layer distribution (OULD) and OULD with mobility prediction (OULD-MP), was run in an HPC cluster. The obtained results show that our optimization solution outperforms the existing and heuristic-based approaches. 2014 IEEE.
- Computer Science & Engineering [1468 items ]
Showing items related by title, author, creator and subject.
An improved whale optimization algorithm for solving multi-objective design optimization problem of PFHE Sulaiman, Muhammada; Samiullah, Ismata; Hamdi, A.b; Hussain, Zubaira ( IOS Press , 2019 , Article)In this paper, we have used a novel initialization strategy to improve Whale optimization algorithm (WOA), which is named as The Improved Whale Optimization Algorithm (IWOA). To evaluate the capability of the algorithm in ...
Optimizing cloud-service performance: Efficient resource provisioning via optimal workload allocation Wang, Zhuoyao; Hayat, Majeed M.; Ghani, Nasir; Shaban, Khaled B. ( IEEE Computer Society , 2017 , Article)Cloud computing is being widely accepted and utilized in the business world. From the perspective of businesses utilizing the cloud, it is critical to meet their customers' requirements by achieving service-level-objectives. ...
Al-Salem, Mohammed; Almomani, Mohammad; Alrefaei, Mahmoud; Diabatd, Ali ( Elsevier B.V. , 2017 , Article)Selecting a set that contains the best simulated systems is an important area of research. When the number of alternative systems is large, then it becomes impossible to simulate all alternatives, so one needs to relax the ...