Filters








155 Hits in 8.0 sec

Path Planning for UAV Communication Networks: Related Technologies, Solutions, and Opportunities

Junhai Luo, Zhiyan Wang, Ming Xia, Linyong Wu, Yuxin Tian, Yu Chen
2022 ACM Computing Surveys  
We then investigate the generic UAV path planning algorithms and the path planning algorithms in UAVCN.  ...  In this paper, the advantages and disadvantages of each path planning algorithm and the functional problems.  ...  Therefore, path planning of UAV clusters based on deep learning and reinforcement learning is an important research direction in the future.  ... 
doi:10.1145/3560261 fatcat:pcqxrenolrdezkz2bx6cmb7zvu

Big data analysis techniques for intelligent systems

Ahmed Farouk, Dou Zhen, Ahmed Farouk, Dou Zhen
2019 Journal of Intelligent & Fuzzy Systems  
Recently, Internet of Things (IoT), Cloud, Big Data and AI gained a great attention as the most research topics.  ...  Cognitive big data analytics that discovers insights from pieces of evidence has a high demand for computing efficiency, knowledge discovery, problem-solving, and event prediction/prescription.  ...  Article [24] studied the breakthrough and innovation of UAV mission planning method based on cloud computing-based reinforcement learning algorithm.  ... 
doi:10.3233/jifs-179109 fatcat:ojj7qqxnr5ay3o5peykmc2o6x4

A Review of AI-enabled Routing Protocols for UAV Networks: Trends, Challenges, and Future Outlook [article]

Arnau Rovira-Sugranes, Abolfazl Razi, Fatemeh Afghah, Jacob Chakareski
2021 arXiv   pre-print
This paper reviews AI-enabled routing protocols designed primarily for aerial networks, including topology-predictive and self-adaptive learning-based routing algorithms, with an emphasis on accommodating  ...  An important example of this trend is developing learning-powered routing protocols, where machine learning methods are used to model and predict topology evolution, channel status, traffic mobility, and  ...  These methods are more appropriate for separating the networking layer from mission-based path-planning algorithms. VIII.  ... 
arXiv:2104.01283v2 fatcat:p2vgtckponfm5flwz4dscf7dju

Unmanned Aircraft System Applications in Damage Detection and Service Life Prediction for Bridges: A Review

Hongze Li, Yanli Chen, Jia Liu, Zheng Zhang, Hang Zhu
2022 Remote Sensing  
Finally, we conclude with a brief discussion regarding the pros and cons of this emerging technology, along with a prospect of UAS technology research for damage detection.  ...  ) an active research area.  ...  The breakthroughs in UAS technology containing accuracy sensors and integrated navigation algorithms, flight path planning, inspector safety, and data collection reliability are the crux of self-navigated  ... 
doi:10.3390/rs14174210 fatcat:sgai3a7k4rhglox4sckuiml3vu

Unmanned aerial vehicle for internet of everything: Opportunities and challenges

Yalin Liu, Hong-Ning Dai, Qubeijian Wang, Mahendra K. Shukla, Muhammad Imran
2020 Computer Communications  
Thus, UAVs may potentially overcome the challenges of IoE. This article presents a comprehensive survey on opportunities and challenges of UAV-enabled IoE.  ...  Thereafter, we review the enabling technologies to achieve these expectations and discuss four intrinsic constraints of IoE (i.e., coverage constraint, battery constraint, computing constraint, and security  ...  The latest intelligent algorithms including machine learning (ML) [54] , deep learning (DL) [55] , reinforcement learning (RL) [56] , computer vision (CV), recommendation system (RS), knowledge graph  ... 
doi:10.1016/j.comcom.2020.03.017 fatcat:jfzpmaarlbgkrmmh4edx72b6om

A Survey on AI-Driven Digital Twins in Industry 4.0: Smart Manufacturing and Advanced Robotics

Ziqi Huang, Yang Shen, Jiayi Li, Marcel Fey, Christian Brecher
2021 Sensors  
As a digital replica of a physical entity, the basis of DT is the infrastructure and data, the core is the algorithm and model, and the application is the software and service.  ...  The grounding of DT and AI in industrial sectors is even more dependent on the systematic and in-depth integration of domain-specific expertise.  ...  Acknowledgments: The authors would like to thank the German Research Foundation DFG for the support within the Cluster of Excellence "Internet of Production"-390621612.  ... 
doi:10.3390/s21196340 pmid:34640660 fatcat:qy3qiazvqrejvfuixudd6ywqsq

A Survey on AI-Driven Digital Twins in Industry 4.0: Smart Manufacturing and Advanced Robotics

Ziqi Huang, Yang Shen, Jiayi Li, Marcel Fey, Christian Brecher
2021 Sensors 21(19)  
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY  ...  Acknowledgments: The authors would like to thank the German Research Foundation DFG for the support within the Cluster of Excellence "Internet of Production"-390621612.  ...  ., Fraunhofer IPT, as well as the Chair of Production Metrology and Quality Management, and Production Engineering of the Laboratory for Machine Tools and Production Engineering (WZL) for their permission  ... 
doi:10.18154/rwth-2021-09877 fatcat:yjhprcascvfutisat7olust3kq

AI based Algorithms of Path Planning, Navigation and Control for Mobile Ground Robots and UAVs [article]

Jian Zhang
2021 arXiv   pre-print
We tackled this problem by developing a new path planning method that utilizes the integrated environment representation and reinforcement learning.  ...  By combining both the reactive navigation and Q-learning method, we intend to keep the good characteristics of reactive navigation algorithm and Q-learning and overcome the shortcomings of only relying  ...  Recently, many researchers proposed path planning algorithms using reinforcement learning.  ... 
arXiv:2110.00910v1 fatcat:ch7hjsz5wzbidn5geplu3w5ha4

Pervasive AI for IoT Applications: Resource-efficient Distributed Artificial Intelligence [article]

Emna Baccour, Naram Mhaisen, Alaa Awad Abdellatif, Aiman Erbad, Amr Mohamed, Mounir Hamdi, Mohsen Guizani
2021 arXiv   pre-print
of IoT devices, edge devices and cloud servers.  ...  Next, we provide a deep literature review of communication-efficient techniques, from both algorithmic and system perspectives, of distributed inference, training and online learning tasks across the combination  ...  ACKNOWLEDGMENT This work was made possible by NPRP grant NPRP12S-0305-190231 and NPRP13S-0205-200265 from the Qatar National Research Fund (a member of Qatar Foundation).  ... 
arXiv:2105.01798v1 fatcat:4tnq2wjw4bcqdfvhnoij55s2rm

A Survey of Multi-Access Edge Computing in 5G and Beyond: Fundamentals, Technology Integration, and State-of-the-Art

Quoc-Viet Pham, Fang Fang, Vu Nguyen Ha, Md. Jalil Piran, Mai Le, Long Bao Le, Won-Joo Hwang, Zhiguo Ding
2020 IEEE Access  
reinforcement learning algorithms to satisfy the latency constraints of service requests from the people.  ...  Generally, ML is divided into three core types: supervised learning, unsupervised learning, and reinforcement learning (RL), while DL has been introduced as a breakthrough technique and a huge step forward  ... 
doi:10.1109/access.2020.3001277 fatcat:isme7xwfejf4pfnowosljxnzja

Survey of Promising Technologies for Quantum Drones and Networks

Adarsh Kumar, Surbhi Bhatia, Keshav Kaushik, Manjula Gandhi, Gayathri Devi, Diego Pacheco, Arwa Mashat
2021 IEEE Access  
AI is a Figure 6 : Machine learning algorithms in UAVs applications [132] . decisive technology for the next developments of computational devices based on quantum technologies [128] .  ...  In [262] quantum-inspired reinforcement learning algorithm is proposed. In this algorithm, selection policy and reinforcement strategies are proposed to improve the results.  ... 
doi:10.1109/access.2021.3109816 fatcat:gkyevfoqrfertef7j7gjzcstii

A Survey of Multi-Access Edge Computing in 5G and Beyond: Fundamentals, Technology Integration, and State-of-the-Art [article]

Quoc-Viet Pham, Fang Fang, Vu Nguyen Ha, Md. Jalil Piran, Mai Le, Long Bao Le, Won-Joo Hwang, Zhiguo Ding
2020 arXiv   pre-print
We further summarize lessons learned from state-of-the-art research works as well as discuss challenges and potential future directions for MEC research.  ...  Then, we outline up-to-date researches on the integration of MEC with the new technologies that will be deployed in 5G and beyond.  ...  reinforcement learning algorithms to satisfy the latency constraints of service requests from the people.  ... 
arXiv:1906.08452v2 fatcat:krti5kagxzeqte7osdpxs4lxoe

Quantum Cryptography-as-a-Service for Secure UAV Communication: Applications, Challenges, and Case Study

Vishakha K Ralegankar, Jagruti Bagul, Bhaumikkumar Thakkar, Rajesh Gupta, Sudeep Tanwar, Gulshan Sharma, I. E. Davidson
2021 IEEE Access  
People are now looking to expand this field of research by attacking the existing paradigms and inventing new algorithms that prove to be better than their vulnerable counterparts.  ...  Motivated by this, we present a survey on quantum cryptography's importance, role, and benefits in securing UAV communications underlying beyond 5G networks.  ...  neural networks, reinforcement learning, and many more) can be utilized.  ... 
doi:10.1109/access.2021.3138753 fatcat:73y7gexykzfyxcrtbe2rzaffwe

Applications of Deep Reinforcement Learning in Communications and Networking: A Survey [article]

Nguyen Cong Luong, Dinh Thai Hoang, Shimin Gong, Dusit Niyato, Ping Wang, Ying-Chang Liang, Dong In Kim
2018 arXiv   pre-print
This paper presents a comprehensive literature review on applications of deep reinforcement learning in communications and networking.  ...  Finally, we highlight important challenges, open issues, and future research directions of applying deep reinforcement learning.  ...  INTRODUCTION Reinforcement learning [1] is one of the most important research directions of machine learning which has significant impacts to the development of Artificial Intelligence (AI) over the  ... 
arXiv:1810.07862v1 fatcat:qc3mqk2norazvc2xnynau6bqzu

Survey on Aerial Radio Access Networks: Toward a Comprehensive 6G Access Infrastructure [article]

Nhu-Ngoc Dao, Quoc-Viet Pham, Ngo Hoang Tu, Tran Thien Thanh, Vo Nguyen Quoc Bao, Demeke Shumeye Lakew, Sungrae Cho
2021 arXiv   pre-print
Finally, we highlight ongoing research efforts and trends toward 6G ARANs.  ...  Current network access infrastructures are characterized by heterogeneity, low latency, high throughput, and high computational capability, enabling massive concurrent connections and various services.  ...  center to assist in planning rescue missions accordingly.  ... 
arXiv:2102.07087v2 fatcat:wbur5jckk5b43lo75dmzlxiiy4
« Previous Showing results 1 — 15 out of 155 results