IEEE INFOCOM 2023 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)最新文献_第2页

NetSciQCom 2023 TPC Technical Program Committee NetSciQCom 2023 TPC技术计划委员会

IEEE INFOCOM 2023 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS) Pub Date : 2023-05-20 DOI: 10.1109/infocomwkshps57453.2023.10226158

引用次数: 0

Powering Inaccessible IoT Devices Through a WPT-enabled Sustainable UAV Network 通过支持wpt的可持续无人机网络为不可访问的物联网设备供电

IEEE INFOCOM 2023 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS) Pub Date : 2023-05-20 DOI: 10.1109/INFOCOMWKSHPS57453.2023.10225986

Prodromos-Vasileios Mekikis, Pavlos S. Bouzinis, Nikos A. Mitsiou, Sotiris A. Tegos, V. Papanikolaou, Dimitrios Tyrovolas, P. Diamantoulakis, G. Karagiannidis

引用次数: 0

Cloud-Assisted Security Framework for Drone-Enabled Offshore Communications 无人机海上通信的云辅助安全框架

IEEE INFOCOM 2023 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS) Pub Date : 2023-05-20 DOI: 10.1109/INFOCOMWKSHPS57453.2023.10225952

Anusha Vangala, R. Maheshwari, A. Das, S. Pal

引用次数: 0

Millimeter-Wave Software-Defined Radio Testbed with Programmable Directionality 具有可编程方向性的毫米波软件定义无线电试验台

IEEE INFOCOM 2023 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS) Pub Date : 2023-05-20 DOI: 10.1109/INFOCOMWKSHPS57453.2023.10226092

Marc Jean, Murat Yuksel, Xun Gong

引用次数: 0

A Hasty Grid S&R Prototype Using Autonomous UTM and AI-Based Mission Coordination 基于自主UTM和人工智能任务协调的仓促网格S&R原型

IEEE INFOCOM 2023 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS) Pub Date : 2023-05-20 DOI: 10.1109/INFOCOMWKSHPS57453.2023.10225768

Lanier A Watkins, Denzel Hamilton, Chad A. Mello, Tyler Young, S. Zanlongo, Barbara Kobzik-Juul, Randolph R. Sleight

{"title":"A Hasty Grid S&R Prototype Using Autonomous UTM and AI-Based Mission Coordination","authors":"Lanier A Watkins, Denzel Hamilton, Chad A. Mello, Tyler Young, S. Zanlongo, Barbara Kobzik-Juul, Randolph R. Sleight","doi":"10.1109/INFOCOMWKSHPS57453.2023.10225768","DOIUrl":"https://doi.org/10.1109/INFOCOMWKSHPS57453.2023.10225768","url":null,"abstract":"Search and Rescue (S&R) is a complex and critical problem. Generally, it is essential to find a missing person in the first 72 hours and if injured even sooner, since 86 % of battlefield deaths happen a half-hour after injury. Consequently, federal, state, local governments, and industry are highly interested in quickly finding missing persons, injured soldiers and pilots, or disaster victims in hostile environments. We offer a new S&R approach based on the use of autonomous drones or unmanned aircraft systems (UAS) Traffic Management (UTM) and melding two competing approaches, Hasty and Grid S&R. Our results demonstrate the feasibility of this approach in realistic simulated environments with varying wind, sensor visibility, obstacle density, terrain roughness, and battery levels. Further, we built working prototypes that allowed our MATLAB UTM simulation to interact with ArduPilot Software-In-The-Loop simulated drones and real hardware drones that recognized targets using convolutional neural networks (CNN). Also, these prototypes demonstrated the ability to identify targets and to coordinate S&R across multiple drones.","PeriodicalId":354290,"journal":{"name":"IEEE INFOCOM 2023 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)","volume":"15 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114020749","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

Demo: Interoperability between Cellular and V2X Networks (802.11p / LTE-PC5) under a Cloud Native Edge Scenario 演示:云原生边缘场景下蜂窝网络和V2X网络(802.11p / LTE-PC5)之间的互操作性

IEEE INFOCOM 2023 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS) Pub Date : 2023-05-20 DOI: 10.1109/INFOCOMWKSHPS57453.2023.10225966

J. M. Parella, Adrián Pino, Bruno Cordero, J. Casademont, Estela Carmona Cejudo, Francisco Vazquez Gallego

{"title":"Demo: Interoperability between Cellular and V2X Networks (802.11p / LTE-PC5) under a Cloud Native Edge Scenario","authors":"J. M. Parella, Adrián Pino, Bruno Cordero, J. Casademont, Estela Carmona Cejudo, Francisco Vazquez Gallego","doi":"10.1109/INFOCOMWKSHPS57453.2023.10225966","DOIUrl":"https://doi.org/10.1109/INFOCOMWKSHPS57453.2023.10225966","url":null,"abstract":"By leveraging the use of wireless communication technologies and edge computing capabilities, Cooperative Intelligent Transport Systems (C-ITS) aim to improve safety and traffic management in mobility use cases. However, the deployment of C-ITS poses some critical challenges. Specifically, in heterogeneous systems, it is necessary to guarantee interoperability among the various available wireless technologies. This paper presents a cloud native infrastructure architecture for vehicular communications that guarantees the interoperability between cellular technologies (4G/5G), and specific Vehicle-to-Everything (V2X) communication technologies, such as LTE-PC5 and IEEE 802.11p wireless communications standards. Such interoperability is demonstrated through the implementation of an Edge Infrastructure where a vehicle equipped with one of the aforementioned radio access technologies, sends cooperative awareness messages, and such messages are received in vehicles provisioned with different wireless technologies.","PeriodicalId":354290,"journal":{"name":"IEEE INFOCOM 2023 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126495146","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

Controller-Assisted Adaptive Video Streaming Experimented in Cloud-Native ICN Platform 控制器辅助自适应视频流在云原生ICN平台上的实验

IEEE INFOCOM 2023 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS) Pub Date : 2023-05-20 DOI: 10.1109/INFOCOMWKSHPS57453.2023.10226080

Yusaku Hayamizu, Atsushi Ooka, K. Matsuzono, H. Asaeda

{"title":"Controller-Assisted Adaptive Video Streaming Experimented in Cloud-Native ICN Platform","authors":"Yusaku Hayamizu, Atsushi Ooka, K. Matsuzono, H. Asaeda","doi":"10.1109/INFOCOMWKSHPS57453.2023.10226080","DOIUrl":"https://doi.org/10.1109/INFOCOMWKSHPS57453.2023.10226080","url":null,"abstract":"Adaptive video streaming is a major factor in today's Internet traffic explosion, and Information-Centric Networking (ICN) is expected to be a promising solution for addressing the tradeoff between traffic reduction and QoE optimization. However, it is also reported that throughput fluctuations by in-network cache, which is an inherent feature of ICN, might have negative influence on streaming users' video quality. In this paper, we propose a controller-assisted adaptive video streaming framework in Information-Centric Networking (ICN) for application-oriented service provisioning. In this framework, our cache pruning mechanism (CPM) provides stable throughput performance and achieve high QoE of streaming users by eliminating “harmful” cached chunks. To flexibly perform CPM, we developed a CCNx-1.0 compliant controller, and experimented the framework in a cloud-native ICN platform to prove stable video streaming quality as cloud/edge services. We revealed that our proposed framework can substantially improve throughput and achieve high QoE performance through the real-world performance evaluation.","PeriodicalId":354290,"journal":{"name":"IEEE INFOCOM 2023 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115976190","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

Towards a Scalable 5G RAN Central Unit 迈向可扩展的5G RAN中央单元

IEEE INFOCOM 2023 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS) Pub Date : 2023-05-20 DOI: 10.1109/INFOCOMWKSHPS57453.2023.10225825

Cuidi Wei, A. Kak, Nakjung Choi, Timothy Wood

引用次数: 0

Attack Evaluations of Deep Learning Empowered WiFi Sensing in IoT Systems 物联网系统中基于深度学习的WiFi传感攻击评估

IEEE INFOCOM 2023 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS) Pub Date : 2023-05-20 DOI: 10.1109/INFOCOMWKSHPS57453.2023.10226121

Jianchao Song, Cheng Qian, Y. Guo, Kun Hua, Wei Yu

{"title":"Attack Evaluations of Deep Learning Empowered WiFi Sensing in IoT Systems","authors":"Jianchao Song, Cheng Qian, Y. Guo, Kun Hua, Wei Yu","doi":"10.1109/INFOCOMWKSHPS57453.2023.10226121","DOIUrl":"https://doi.org/10.1109/INFOCOMWKSHPS57453.2023.10226121","url":null,"abstract":"Recently, the market has witnessed fabulous growths of WiFi sensing technologies to advance the deployment of Internet of Things (IoT) systems. Besides being an essential IoT enabler, WiFi devices with smart sensing techniques carry more helpful information to improve the performance of IoT systems. However, there is a lack of research efforts on systematically investigating the potential security threats of smart WiFi Sensing assisted IoT systems. In this paper, we systematically investigate the vulnerability of existing deep learning empowered WiFi sensing systems under False Data Injection (FDI) attacks. First, we analyze the attack vendors in three different IoT layers and consider violating the data integrity in three dimensions (i.e., time, space, and value). Second, we design three attack schemes to realize FDI attacks on smart WiFi sensing models. By measuring the performance of activity recognition on seven datasets under diverse WiFi sensing, experimental results demonstrate that the accuracy of activity recognition drastically decreases under our attacks.","PeriodicalId":354290,"journal":{"name":"IEEE INFOCOM 2023 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132224163","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

Shallow Neural Networks for Channel Estimation in Multi-Antenna Systems 多天线系统中信道估计的浅神经网络

IEEE INFOCOM 2023 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS) Pub Date : 2023-05-20 DOI: 10.1109/INFOCOMWKSHPS57453.2023.10225983

D. Kumar, C. Antón-Haro, X. Mestre

引用次数: 0