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Implementation of monocular visual SLAM with ARCog-NET for aerial robot swarm indoor mapping. [PDF]

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Ramos GS, Pinto MF, Andrade FAA, Haddad DB.   +3 more
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Load Balancing Algorithms in Fog Computing

IEEE Transactions on Services Computing, 2023
Recently, fog computing has been introduced as a modern distributed paradigm and complement to cloud computing to provide services. The fog system extends storing and computing to the edge of the network, which can remarkably solve the problem of service
M. H. Kashani, Ebrahim Mahdipour
semanticscholar   +1 more source

Super-Fast Fog Collector Based on Self-Driven Jet of Mini Fog Droplets.

Small, 2023
Freshwater scarcity crisis threatens human life and economic security. Collecting water from the fog seems to be an effective method to defuse this crisis.
Defeng Yan, Yang Chen, Jinming Liu, Jinlong Song   +3 more
semanticscholar   +1 more source

Decentralized Privacy Using Blockchain-Enabled Federated Learning in Fog Computing

IEEE Internet of Things Journal, 2020
As the extension of cloud computing and a foundation of IoT, fog computing is experiencing fast prosperity because of its potential to mitigate some troublesome issues, such as network congestion, latency, and local autonomy.
Youyang Qu, Longxiang Gao, Tom H. Luan, Yong Xiang, Shui Yu, Bai Li, Gavin Zheng   +6 more
semanticscholar   +1 more source

Deadline-aware and energy-efficient IoT task scheduling in fog computing systems: A semi-greedy approach

Journal of Network and Computer Applications, 2022
With the rapid advancement of Internet of Things (IoT) devices, a variety of IoT applications that require a real-time response and low latency have emerged. Fog computing has become a viable platform for processing emerging IoT applications.
S. Azizi, Mohammad Shojafar, J. Abawajy, R. Buyya   +3 more
semanticscholar   +1 more source

Privacy-Preserving Aggregation-Authentication Scheme for Safety Warning System in Fog-Cloud Based VANET

IEEE Transactions on Information Forensics and Security, 2022
As cities become smarter, the importance of vehicular ad hoc networks (VANETs) will be increasingly pronounced. To support latency- and time-sensitive applications, there have been attempts to utilize fog-cloud computing in VANETs.
Yafang Yang, Lei Zhang, Yunlei Zhao, K. Choo, Yan Zhang   +4 more
semanticscholar   +1 more source

An Application Placement Technique for Concurrent IoT Applications in Edge and Fog Computing Environments

IEEE Transactions on Mobile Computing, 2021
Fog/Edge computing emerges as a novel computing paradigm that harnesses resources in the proximity of the Internet of Things (IoT) devices so that, alongside with the cloud servers, provide services in a timely manner. However, due to the ever-increasing
Mohammad Goudarzi, Huaming Wu, M. Palaniswami, R. Buyya   +3 more
semanticscholar   +1 more source

Fog Harvesting Devices Inspired from Single to Multiple Creatures: Current Progress and Future Perspective

Advanced Functional Materials, 2022
The increasing demand for clean water driven by the rapid growth of the population and the pollution of water necessitates the development of direct and rapid water harvesting methods.
Zhihua Yu, Tianxue Zhu, Jichao Zhang, Mingzheng Ge, Shaohai Fu, Y. Lai   +5 more
semanticscholar   +1 more source

Resource Allocation in 5G IoV Architecture Based on SDN and Fog-Cloud Computing

IEEE transactions on intelligent transportation systems (Print), 2021
In the traditional cloud-based Internet of Vehicles (IoV) architecture, it is difficult to guarantee the low latency requirements of the current intelligent transportation system (ITS).
Bin Cao, Zhiheng Sun, Jintong Zhang, Yu Gu   +3 more
semanticscholar   +1 more source