Proceedings of the 5th International ACM Mobicom Workshop on Drone Assisted Wireless Communications for 5G and Beyond最新文献

筛选
英文 中文
SoftFloat SoftFloat
Deborsi Basu, Uttam Ghosh, R. Datta
{"title":"SoftFloat","authors":"Deborsi Basu, Uttam Ghosh, R. Datta","doi":"10.1145/3555661.3560857","DOIUrl":"https://doi.org/10.1145/3555661.3560857","url":null,"abstract":"The most revolutionized contribution of next-generation SDN (Software-Defined Networking) and NFV (Network Function Virtualization) is Softwarized Network Slicing (SNS). Dedicated services can be sophistically proctored by leveraging the vast features of SNS. This manuscript explores its applications for the most advanced UAV (Unmanned Aerial Vehicle) communication networks in the 5G domain by redefining the conventional frameworks. The UAV networks are needed to be defined as a significant component of existing 5G and forthcoming 6G wireless communication networks. However, converging the wide service types over a common setup without implementing a one-to-one setup is extremely challenging. Motivated by the stated facts, in this work, the system architecture is specially designed to provide differentiated Quality of Services (QoS) for UAV applications. A proof-of-concept realization is presented showing the ability to orchestrate the time-critical demand-supply module in complex networking conditions. The proposed frameworks intend to deliver new operations, new business model solutions, and new experiences for both UAV service providers and operators.","PeriodicalId":151188,"journal":{"name":"Proceedings of the 5th International ACM Mobicom Workshop on Drone Assisted Wireless Communications for 5G and Beyond","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114924074","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Deep neural network with transfer learning in remote object detection from drone 基于迁移学习的深度神经网络在无人机远程目标检测中的应用
M. Woźniak, Michał Wieczorek, J. Siłka
{"title":"Deep neural network with transfer learning in remote object detection from drone","authors":"M. Woźniak, Michał Wieczorek, J. Siłka","doi":"10.1145/3555661.3560875","DOIUrl":"https://doi.org/10.1145/3555661.3560875","url":null,"abstract":"In this article we present a model of new deep learning composition for remote ship detection. Proposed architecture is composed of newly developed derivatives of ResNet, DenseNet and CNN composed into one global classifier. Since training of such model is demanding we have developed also a new proposition of transfer learning. Each of architectures was trained on different input data. In the final phase they are all composed into one global model for which training is finished by the use of augmented images from all the input collections. The proposed model of training enabled improved features of classification. Results of numerical experiments have shown that our newly proposed deep learning classifier with developed transfer learning model presents values of 99% Accuracy, 98% Precision, 99% Recall and 97% Specificity after training in only 40 iterations.","PeriodicalId":151188,"journal":{"name":"Proceedings of the 5th International ACM Mobicom Workshop on Drone Assisted Wireless Communications for 5G and Beyond","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126916439","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 23
On the performance of multi-tier space-air-ground integrated network exploiting mmWave and THz capabilities for 6G communication 利用毫米波和太赫兹能力实现6G通信的多层天空地集成网络性能研究
A. Umar, S. Basharat, S. Hassan, Haejoon Jung
{"title":"On the performance of multi-tier space-air-ground integrated network exploiting mmWave and THz capabilities for 6G communication","authors":"A. Umar, S. Basharat, S. Hassan, Haejoon Jung","doi":"10.1145/3555661.3560863","DOIUrl":"https://doi.org/10.1145/3555661.3560863","url":null,"abstract":"Ubiquitous coverage and high data rate-based connectivity have become a necessity nowadays. Despite the technological advancements, reliable and efficient communication is yet dependent on infrastructure availability. In this regard, non-terrestrial networks (NTNs) have gained significant attention to complement the terrestrial communication. In addition, the millimeter wave (mmWave) and Terahertz (THz) communication are perceived as the potential solution to overcome the looming capacity crunch. Targeting the sixth generation (6G) horizon, in this paper, we propose a downlink multitier space-air-ground integrated network (SAGIN) comprising mmWave-enabled non-terrestrial entities, i.e., satellites (SATs) and high-altitude platforms (HAPs), for complementing the terrestrial THz-enabled small-cell base stations (SBSs). We analyze the performance of the proposed SAGIN architecture against association probability, network capacity, and outage probability. Our extensive simulation results validate the significance of NTNs to aid terrestrial networks to provide high data rates and uninterrupted coverage.","PeriodicalId":151188,"journal":{"name":"Proceedings of the 5th International ACM Mobicom Workshop on Drone Assisted Wireless Communications for 5G and Beyond","volume":"361 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114080498","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
UAV based 5G indoor localization for emergency services 基于无人机的应急服务5G室内定位
Oluwatayo Y. Kolawole, M. Hunukumbure
{"title":"UAV based 5G indoor localization for emergency services","authors":"Oluwatayo Y. Kolawole, M. Hunukumbure","doi":"10.1145/3555661.3560862","DOIUrl":"https://doi.org/10.1145/3555661.3560862","url":null,"abstract":"Unmmaned Aerial Vechicle (UAV) deployment as 5G Node Bs (gNBs) or relays is a promising technology for providing rapid 5th Generation (5G) connectivity. This can be useful for enabling accurate indoor localization within buildings but the impact of UAV jitter in windy conditions has to be considered and negated. In this paper, we propose a two-tiered UAV-based 5G system and show that this is an effective solution for precise positioning during emergency situations. Using positional jitter data from a real experiment, we evaluate the errors in localization estimates under wind and turbulence for the proposed system, and develop effective machine learning solutions to compensate for these errors. Thus, the paper presents an effective and practical solution for providing highly accurate localization with UAVs in critical communication scenarios.","PeriodicalId":151188,"journal":{"name":"Proceedings of the 5th International ACM Mobicom Workshop on Drone Assisted Wireless Communications for 5G and Beyond","volume":"99 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124064149","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Blockchain-enabled secure communication for unmanned aerial vehicle (UAV) networks 用于无人机(UAV)网络的区块链安全通信
Randhir Kumar, Ahamed Aljuhani, P. Kumar, Abhinav Kumar, A. Franklin, A. Jolfaei
{"title":"Blockchain-enabled secure communication for unmanned aerial vehicle (UAV) networks","authors":"Randhir Kumar, Ahamed Aljuhani, P. Kumar, Abhinav Kumar, A. Franklin, A. Jolfaei","doi":"10.1145/3555661.3560861","DOIUrl":"https://doi.org/10.1145/3555661.3560861","url":null,"abstract":"While 5G can provide high-speed Internet connectivity and over-the-horizon control for Unmanned Aerial Vehicles (UAVs), authentication becomes a key security component in 5G-enabled UAVs. This is due to fact that the communicating entities in the network mostly uses unsecured communication channel to exchange critical surveillance data. Authentication thus plays a crucial role in the 5G-enabled UAV network, providing a range of security services such as credential privacy, Session-Key (SK) security, and secure mutual authentication. However, transparency, anonymity, traceability and centralized control are few major security requirements that cannot be fulfilled by the traditional authentication schemes. One of the upcoming technologies that can provide a solution for present centralized 5G-enabled UAV network is blockchain-based authentication scheme. Motivated from aforementioned discussion, this paper presents a Permissioned Blockchain empowered Secure Authentication and Key Agreement framework in 5G-enabled UAVs. In this framework, first an authentication phase between UAV-to-UAV, UAV-to-Edge Server (ES) and Edge-to-Cloud Server (CS) supporting mutual authentication and key agreement is proposed. The authenticated surveillance data collected from UAV is used by the peer-to-peer CS for transaction verification, block creation and addition using smart contract-based consensus mechanism. The practical implementation of framework shows the effectiveness of the proposed approach.","PeriodicalId":151188,"journal":{"name":"Proceedings of the 5th International ACM Mobicom Workshop on Drone Assisted Wireless Communications for 5G and Beyond","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128081462","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 6
Clustered federated learning multi-classifier for non-IID scenario in drone devices 无人机设备中非iid场景的聚类联邦学习多分类器
Jiaming Pei, Zhi-fu Yu, Wenxuan Liu, Weili Kong, Jiwei Zhang, Lukun Wang
{"title":"Clustered federated learning multi-classifier for non-IID scenario in drone devices","authors":"Jiaming Pei, Zhi-fu Yu, Wenxuan Liu, Weili Kong, Jiwei Zhang, Lukun Wang","doi":"10.1145/3555661.3560868","DOIUrl":"https://doi.org/10.1145/3555661.3560868","url":null,"abstract":"Existing machine learning technology lacks effective support for practical drone devices in target recognition. The Clustered Federated Learning Algorithm (C-FLA) was proposed to enhance the joint training in drone groups. The algorithm considered the path fading and Rayleigh fading when the user side performs upstream data transmission. And it designed a federation learning method based on cluster-based training. The results showed that the traditional federal learning algorithm and C-FLA can converge to similar values under the same training conditions in the case of good channel state and small user transmit power constraints, and C-FLA converges faster. C-FLA can reduce the convergence value of the loss function by 10%-50% compared to the traditional centralized algorithm. It can be seen that C-FLA is more helpful for model training in multi-classifier scenarios.","PeriodicalId":151188,"journal":{"name":"Proceedings of the 5th International ACM Mobicom Workshop on Drone Assisted Wireless Communications for 5G and Beyond","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125614836","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Towards energy-efficient UAV-assisted 5G internet of underwater things 迈向高能效的无人机辅助5G水下物联网
Sandeep Verma, Md Shahbaz Akhtar, Aneek Adhya, Varun G. Menon
{"title":"Towards energy-efficient UAV-assisted 5G internet of underwater things","authors":"Sandeep Verma, Md Shahbaz Akhtar, Aneek Adhya, Varun G. Menon","doi":"10.1145/3555661.3560855","DOIUrl":"https://doi.org/10.1145/3555661.3560855","url":null,"abstract":"Adhering to the requirements of Fifth Generation (5G) communication for seamless data gathering, especially from underwater resources, Unmanned Aerial Vehicles (UAVs)-assisted 5G Internet of Underwater Things (IoUT) have been leaving an everlasting impression. However, the resource-constrained underwater sensor nodes limit the potential of IoUT for reliable data dissemination due to their shorter operational period. To extenuate this concern, in this paper we present an Energy-Efficient Unmanned Aerial Vehicle (UAV)-assisted Routing Architecture (EEURA) for 5G IoUT. The Cluster Head (CH) is selected using Improved-Tunicate Swarm Algorithm (I-TSA). We use Energy-Harvesting (EH)-enabled nodes and a single UAV for data collection from the underwater deployed sensor nodes to extenuate hot-spot problem. It is evident from the simulation investigation that EEURA performs exclusively better than the state-of-the-art routing methods in IoUT.","PeriodicalId":151188,"journal":{"name":"Proceedings of the 5th International ACM Mobicom Workshop on Drone Assisted Wireless Communications for 5G and Beyond","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123848492","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 6
UAV-enabled edge computing and blockchain based secure charging station selection for energy trading in V2G environment 支持无人机的边缘计算和基于区块链的安全充电站选择,用于V2G环境中的能源交易
Arzoo Miglani, Neeraj Kumar, Avadh Kishore, Nazeeruddin Mohammad
{"title":"UAV-enabled edge computing and blockchain based secure charging station selection for energy trading in V2G environment","authors":"Arzoo Miglani, Neeraj Kumar, Avadh Kishore, Nazeeruddin Mohammad","doi":"10.1145/3555661.3560872","DOIUrl":"https://doi.org/10.1145/3555661.3560872","url":null,"abstract":"Vehicle-to-Grid (V2G) networks have emerged as a promising solution in the modern electric power transmission network. By leveraging the bidirectional energy trading capabilities of V2G, demand-supply mismatch is managed in wide range of applications. However, performing energy trading decisions at cloud centers leads to increased delay and overhead. The demand to process the 3V's (variety, volume, and velocity) of data generated by V2G with low latency necessitates the usage of edge computing services. Although with the growth of edge computing resources, the trust issue of collaboration also grows among different stakeholders and service providers. Therefore, to deal with the aforementioned issues, this paper presents blockchain and UAV-enabled edge computing based energy trading services for the V2G environment. The decision of selecting a charging station (CS) by an electric vehicle (EV) is processed close to the EV movement via edge nodes. To secure and validate energy trading transactions and automation of the whole system, the blockchain technology is used in the proposal. The result section depicts that the proposed scheme has minimal computational and communicational overhead along with reduced latency in comparison to the existing schemes.","PeriodicalId":151188,"journal":{"name":"Proceedings of the 5th International ACM Mobicom Workshop on Drone Assisted Wireless Communications for 5G and Beyond","volume":"282 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131792645","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Federated learning based energy efficient scheme for MEC with NOMA underlaying UAV 基于联邦学习的基于NOMA底层无人机的MEC节能方案
Himanshu Sharma, Ishan Budhiraja, Prakhar Consul, Neeraj Kumar, Deepak Garg, Liang Zhao, Lie Liu
{"title":"Federated learning based energy efficient scheme for MEC with NOMA underlaying UAV","authors":"Himanshu Sharma, Ishan Budhiraja, Prakhar Consul, Neeraj Kumar, Deepak Garg, Liang Zhao, Lie Liu","doi":"10.1145/3555661.3560867","DOIUrl":"https://doi.org/10.1145/3555661.3560867","url":null,"abstract":"Unmanned Aerial Vehicle (UAV) enabled Mobile Edge Computing (MEC) brings the on-demand task computation services close to the user equipment (UE) by reducing the latency and enhancing the quality-of-service (QoS). However, the energy consumption remains a major issue in the system, since both mobile devices (MDs) and UAVs have limited power battery storage. Also in 5G and beyond 5G (B5G) networks, in which UEs' task requests and positions change frequently, stationary edge network implementation may increase the overall energy consumption. This article aims to minimize the overall energy consumption for MEC with Non-Orthogonal Multiple Access (NOMA) underlaying UAV systems. We have used Markov decision process (MDP) to convert the optimization problem into multi-agent reinforcement learning (MARL) problem. Then to achieve optimal policy and reduce the overall energy consumption of the system, we propose a multi-agent federated reinforcement learning (MAFRL) scheme. Simulation results show the effectiveness of the proposed scheme in reducing the overall energy consumption with respect to other state-of-art schemes.","PeriodicalId":151188,"journal":{"name":"Proceedings of the 5th International ACM Mobicom Workshop on Drone Assisted Wireless Communications for 5G and Beyond","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133499752","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 8
BC-IoDT: blockchain-based framework for authentication in internet of drone things BC-IoDT:基于区块链的无人机物联网认证框架
Junaid Akram, A. Akram, R. Jhaveri, M. Alazab, Haoran Chi
{"title":"BC-IoDT: blockchain-based framework for authentication in internet of drone things","authors":"Junaid Akram, A. Akram, R. Jhaveri, M. Alazab, Haoran Chi","doi":"10.1145/3555661.3560874","DOIUrl":"https://doi.org/10.1145/3555661.3560874","url":null,"abstract":"We leverage blockchain technology for drone node authentication in internet of drone things (IoDT). During the authentication procedure, the credentials of drone nodes are examined to remove malicious nodes from the system. In IoDT, drones are responsible for gathering data and transmitting it to cluster heads (CHs) for further processing. The CH collects and organizes data. Due to computational load, their energy levels rapidly deplete. To overcome this problem, we present a low-energy adaptive clustering hierarchy (R2D) protocol based on distance, degree, and residual energy. R2D is used to replace CHs with normal nodes based on the biggest residual energy, the degree, and the shortest distance from BS. The cost of keeping a big volume of data on the blockchain is high. We employ the Interplanetary File System (IPFS), to address this issue. Moreover, IPFS protects user data using the industry-standard encryption technique AES-128. This standard compares well to other current encryption methods. Using a consensus mechanism based on proof of work requires a high amount of computing resources for transaction verification. The suggested approach leverages a consensus mechanism known as proof of authority (PoA) to address this problem. The results of the simulations indicate that the suggested system model functions effectively and efficiently. A formal security analysis is conducted to assess the smart contract's resistance to attacks.","PeriodicalId":151188,"journal":{"name":"Proceedings of the 5th International ACM Mobicom Workshop on Drone Assisted Wireless Communications for 5G and Beyond","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124808059","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信