2021 IEEE Global Communications Conference (GLOBECOM)最新文献_第7页

Cost-Efficient Shuffling and Regrouping Based Defense for Federated Learning 基于成本高效洗牌和重组的联邦学习防御

2021 IEEE Global Communications Conference (GLOBECOM) Pub Date : 2021-12-01 DOI: 10.1109/GLOBECOM46510.2021.9685499

Shun-Meng Huang, Yu-Wen Chen, Jian-Jhih Kuo

引用次数: 2

Placement of Package Delivery Center for UAVs with Machine Learning 基于机器学习的无人机包裹递送中心布局

2021 IEEE Global Communications Conference (GLOBECOM) Pub Date : 2021-12-01 DOI: 10.1109/GLOBECOM46510.2021.9685951

S. S. Bacanli, Furkan Cimen, Enas Elgeldawi, D. Turgut

引用次数: 4

PAMI-Anonymous Password Authentication Protocol for Medical Internet of Things pami -医疗物联网匿名密码认证协议

2021 IEEE Global Communications Conference (GLOBECOM) Pub Date : 2021-12-01 DOI: 10.1109/GLOBECOM46510.2021.9685900

You-sheng Zhou, Yang Luo, M. Obaidat, P. Vijayakumar, Xiaojun Wang

{"title":"PAMI-Anonymous Password Authentication Protocol for Medical Internet of Things","authors":"You-sheng Zhou, Yang Luo, M. Obaidat, P. Vijayakumar, Xiaojun Wang","doi":"10.1109/GLOBECOM46510.2021.9685900","DOIUrl":"https://doi.org/10.1109/GLOBECOM46510.2021.9685900","url":null,"abstract":"With the continuous maturity of Internet of Things (IoT) technology, it has begun to be frequently used in all walks of life to improve people's work efficiency and living standards. The wide use of IoT in the medical field makes it convenient for patients to obtain medical services, and also enables doctors to obtain patients' physical conditions more timely and accurately, so as to formulate more efficient treatment plans. However, when people enjoy the convenience of medical IoT, how to ensure the security of communication and privacy of patients are all problems that cannot be ignored. In order to achieve secure access the network, this paper proposes an anonymous password authenticated key exchange protocol for medical Internet of Things (PAMI), where only a low-entropy password is required to realize the mutual authentication between medical device and telemedicine server, so as to negotiate a high-entropy session key. The security of PAMI is formally proved under the standard model, and the experiment based performance comparison demonstrates that it is more efficient than the existing similar schemes.","PeriodicalId":200641,"journal":{"name":"2021 IEEE Global Communications Conference (GLOBECOM)","volume":"146 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132118174","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: 4

Delay-aware Wireless Resource Allocation and User Association in LiFi-WiFi Heterogeneous Networks 时延感知无线资源分配与LiFi-WiFi异构网络中的用户关联

2021 IEEE Global Communications Conference (GLOBECOM) Pub Date : 2021-12-01 DOI: 10.1109/GLOBECOM46510.2021.9685276

Hansini Vijayaraghavan, W. Kellerer

{"title":"Delay-aware Wireless Resource Allocation and User Association in LiFi-WiFi Heterogeneous Networks","authors":"Hansini Vijayaraghavan, W. Kellerer","doi":"10.1109/GLOBECOM46510.2021.9685276","DOIUrl":"https://doi.org/10.1109/GLOBECOM46510.2021.9685276","url":null,"abstract":"The ever-growing wireless networks demand high capacity, have strict latency requirements, and must support diverse communication services. A LiFi-WiFi heterogeneous net-work has proven to be a useful tool to satisfy the growing capacity demand. However, to leverage these co-existing, non-interfering technologies, intelligent resource management schemes have to be developed. To support diverse applications with varying delay and data rate requirements, the resource management scheme should consider the Quality of Service (QoS) while allocating wireless resources. In this work, the downlink wireless resources are allocated to users such that the average network packet delay is minimized. Users that are both capable and not capable of multi-homing are considered and a separate optimization problem is formulated for each case. These problems are then solved using a global Branch and Bound-based solver and a genetic algorithm-based Metaheuristic is also proposed. The algorithms are then evaluated with simulations and the results show that the average network packet delay is significantly lowered and each user's strict QoS requirements are satisfied even in a network with heavy traffic flow.","PeriodicalId":200641,"journal":{"name":"2021 IEEE Global Communications Conference (GLOBECOM)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132461757","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

On-the-fly Resource-Aware Model Aggregation for Federated Learning in Heterogeneous Edge 基于异构边缘的动态资源感知模型聚合

2021 IEEE Global Communications Conference (GLOBECOM) Pub Date : 2021-12-01 DOI: 10.1109/GLOBECOM46510.2021.9685893

Hung T. Nguyen, Roberto Morabito, Kwang Taik Kim, M. Chiang

{"title":"On-the-fly Resource-Aware Model Aggregation for Federated Learning in Heterogeneous Edge","authors":"Hung T. Nguyen, Roberto Morabito, Kwang Taik Kim, M. Chiang","doi":"10.1109/GLOBECOM46510.2021.9685893","DOIUrl":"https://doi.org/10.1109/GLOBECOM46510.2021.9685893","url":null,"abstract":"Edge computing has revolutionized the world of mobile and wireless networks world thanks to its flexible, secure, and performing characteristics. Lately, we have witnessed the increasing use of it to make more performing the deployment of machine learning (ML) techniques such as federated learning (FL). FL was debuted to improve communication efficiency compared to conventional distributed machine learning (ML). The original FL assumes a central aggregation server to aggregate locally optimized parameters and might bring reliability and latency issues. In this paper, we conduct an in-depth study of strategies to replace this central server by a flying master that is dynamically selected based on the current participants and/or available resources at every FL round of optimization. Specifically, we compare different metrics to select this flying master and assess consensus algorithms to perform the selection. Our results demonstrate a significant reduction of runtime using our flying master FL framework compared to the original FL from measurements results conducted in our EdgeAI testbed and over real 5G networks using an operational edge testbed.","PeriodicalId":200641,"journal":{"name":"2021 IEEE Global Communications Conference (GLOBECOM)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130088192","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: 2

WIAGE: A Gait-based Age Estimation System Using Wireless Signals WIAGE:基于步态的无线信号年龄估计系统

2021 IEEE Global Communications Conference (GLOBECOM) Pub Date : 2021-12-01 DOI: 10.1109/GLOBECOM46510.2021.9685336

Yanjiao Chen, Runmin Ou, Y. Deng, Xiaoyan Yin

引用次数: 0

Auction Pricing-Based Task Offloading Strategy for Cooperative Edge Computing 基于拍卖定价的协同边缘计算任务卸载策略

2021 IEEE Global Communications Conference (GLOBECOM) Pub Date : 2021-12-01 DOI: 10.1109/GLOBECOM46510.2021.9685259

Ruyang Wang, Chunyan Zang, Peng He, Yaping Cui, D. Wu

引用次数: 0

Resource Allocation for Age of Information Minimization in An OFDM Status Update System OFDM状态更新系统中信息最小化时代的资源分配

2021 IEEE Global Communications Conference (GLOBECOM) Pub Date : 2021-12-01 DOI: 10.1109/GLOBECOM46510.2021.9685987

Shuyang Fang, Zhengchuan Chen, Zhong Tian, Yunjian Jia, Min Wang

引用次数: 1

Shortening the Deployment Time of SFCs by Adaptively Querying Resource Providers 通过自适应查询资源提供商缩短sfc的部署时间

2021 IEEE Global Communications Conference (GLOBECOM) Pub Date : 2021-12-01 DOI: 10.1109/GLOBECOM46510.2021.9685356

Ali El Amine, O. Brun, Slim Abdellatif, Pascal Berthou

{"title":"Shortening the Deployment Time of SFCs by Adaptively Querying Resource Providers","authors":"Ali El Amine, O. Brun, Slim Abdellatif, Pascal Berthou","doi":"10.1109/GLOBECOM46510.2021.9685356","DOIUrl":"https://doi.org/10.1109/GLOBECOM46510.2021.9685356","url":null,"abstract":"We consider the SFC embedding (SFCE) problem in the Slice as a Service (SlaaS) model. In this model, a slice provider leases resources from multiple cloud and network providers in order to instantiate the Service Function Chain (SFC) requested by a slice tenant. As the slice provider has no visibility on the infrastructures of the resource providers, in which resources may be purchased and released quite rapidly, it has to query them to determine what are the possible allocations and their costs. We show that when there are many resource providers and many VNFs composing the SFC, the number of queries to be made for discovering a minimum cost SFC embedding grows quickly, leading to excessively long deployment times. In order to reduce the latter quantity, we propose to query resource providers strategically, rather than collecting the information on all possible allocations at once. We provide bounds on the number of queries to be made in this approach, and propose to exploit a Shortest Path Discovery algorithm in order to reduce this number of queries and thus the SFC deployment time. Our numerical results suggest that this algorithm is fairly efficient, and that the deployment times can be significantly shortened, in particular when initial estimates of allocation costs can be provided by the slice provider.","PeriodicalId":200641,"journal":{"name":"2021 IEEE Global Communications Conference (GLOBECOM)","volume":"153 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133949155","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

Flow-Level Rerouting in RDMA-Enabled Dragonfly Networks 支持rdma的蜻蜓网络中的流级重路由

2021 IEEE Global Communications Conference (GLOBECOM) Pub Date : 2021-12-01 DOI: 10.1109/GLOBECOM46510.2021.9685685

Yuyan Wu, Runzhou Li, P. Hong

引用次数: 1