2021 IEEE Globecom Workshops (GC Wkshps)最新文献_第3页

A Blockchain-based Approach for Optimal Energy Dispatch and Fault Reporting in P2P Microgrid 基于区块链的P2P微电网能量优化调度与故障报告方法

2021 IEEE Globecom Workshops (GC Wkshps) Pub Date : 2021-12-01 DOI: 10.1109/GCWkshps52748.2021.9682176

Roshan Singh, P. Singh, Sukumar Nandi

{"title":"A Blockchain-based Approach for Optimal Energy Dispatch and Fault Reporting in P2P Microgrid","authors":"Roshan Singh, P. Singh, Sukumar Nandi","doi":"10.1109/GCWkshps52748.2021.9682176","DOIUrl":"https://doi.org/10.1109/GCWkshps52748.2021.9682176","url":null,"abstract":"Proper utilization of Distributed Energy Resources (DERs) in a microgrid can make a smart city locality self-sufficient in power generation and consumption, reducing loads on the main grid. The concept of a Peer-to-Peer (P2P) microgrid aims to provide efficient energy dispatch with minimal power loss and higher incentives to the prosumers. However, the P2P-based architecture comes with transmission management and maintenance challenges, resulting from an absence of a global view of transmissions in the grid. Being decentralized in nature identification of critical issues such as congestion, energy theft, and other faults is challenging and such issues may result in power outages in the grid. In, this work we propose a blockchain-based approach for optimal energy dispatch and fault reporting in a P2P microgrid. We harness the capabilities of the blockchain for its application as an information exchange platform addressing the above-mentioned issues and demonstrate the feasibility of the proposed approach with proper experiments. Our experiments show low power consumption while maintaining the proposed approach.","PeriodicalId":6802,"journal":{"name":"2021 IEEE Globecom Workshops (GC Wkshps)","volume":"160 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72641260","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

PSO-Based K-means Algorithm for Clustering Routing in 5G WSN Networks 基于pso的5G WSN网络聚类路由K-means算法

2021 IEEE Globecom Workshops (GC Wkshps) Pub Date : 2021-12-01 DOI: 10.1109/GCWkshps52748.2021.9682177

Aijing Sun, Kailei Zhu, Jianbo Du, Haotong Cao

{"title":"PSO-Based K-means Algorithm for Clustering Routing in 5G WSN Networks","authors":"Aijing Sun, Kailei Zhu, Jianbo Du, Haotong Cao","doi":"10.1109/GCWkshps52748.2021.9682177","DOIUrl":"https://doi.org/10.1109/GCWkshps52748.2021.9682177","url":null,"abstract":"With the development of the Internet of Things, Wireless Sensor Network (WSN) in 5G networks is becoming more and more important in the field of information and communication technology, and is widely used in many scenarios. However, WSN usually has limited energy due to its compact structure. For energy consumption issues, the hierarchical routing architecture has been considered that is an extremely effective method to save network energy, but uneven network clustering and unreasonable Cluster Head (CH) will lead to unbalanced network energy consumption and reduce the network lifetime. In this paper, we intend to use the K-means algorithm for network clustering. Considering K-means algorithm is sensitive to the Initial Center (IC) and is easy to fall into the local optimum, we use Particle Swarm Optimization algorithm (PSO) to optimize the initial clustering center of K-means to obtain the optimum clustering. After the network clustering is completed, we comprehensively considers the Sensor Node’s (SN) energy and SN’s location factors for CH selection, and dynamically updates the weight of the factor according to the remaining energy of the SNs. Simulation results show that the proposed protocol performs well in balancing the network’s energy consumption and extending lifetime of the network.","PeriodicalId":6802,"journal":{"name":"2021 IEEE Globecom Workshops (GC Wkshps)","volume":"30 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84953551","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

Hybrid Beamforming for Distributed Intelligent Reflecting Surfaces-Aided Systems 分布式智能反射面辅助系统的混合波束形成

2021 IEEE Globecom Workshops (GC Wkshps) Pub Date : 2021-12-01 DOI: 10.1109/GCWkshps52748.2021.9682009

Seyyed Mohammadmahdi Shahabi, Zhaohui Yang, H. Asgari, G. Charbit, M. Shikh-Bahaei

引用次数: 1

Exploring a New Security Framework for Future Healthcare Systems 探索未来医疗保健系统的新安全框架

2021 IEEE Globecom Workshops (GC Wkshps) Pub Date : 2021-12-01 DOI: 10.1109/GCWkshps52748.2021.9681967

Nattaruedee Vithanwattana, G. Karthick, G. Mapp, C. George

引用次数: 3

Quantized Compressed Sensing for Communication-Efficient Federated Learning 用于通信高效联邦学习的量化压缩感知

2021 IEEE Globecom Workshops (GC Wkshps) Pub Date : 2021-12-01 DOI: 10.1109/GCWkshps52748.2021.9682076

Yong-Nam Oh, N. Lee, Yo-Seb Jeon

{"title":"Quantized Compressed Sensing for Communication-Efficient Federated Learning","authors":"Yong-Nam Oh, N. Lee, Yo-Seb Jeon","doi":"10.1109/GCWkshps52748.2021.9682076","DOIUrl":"https://doi.org/10.1109/GCWkshps52748.2021.9682076","url":null,"abstract":"Federated learning (FL) is a decentralized artificial intelligence technique for training a global model on a parameter server (PS) through collaboration with wireless devices, each with its own local training data set. In this paper, we present a communication-efficient FL framework which consists of gradient compression and reconstruction strategies based on quantized compressed sensing (QCS). The key idea of the gradient compression strategy is to compress-and-quantize a local gradient vector computed at each device after sparsifying this vector in a block wise fashion. Our gradient compression strategy can make communication overhead less than one bit per gradient entry. For accurate reconstruction of the local gradient from the compressed signals at the PS, we employ a expectation-maximization generalized-approximate-message-passing algorithm. The algorithm iteratively computes an approximate minimum mean square error solution of the local gradient, while learning the unknown model parameters of the Bernoulli Gaussian-mixture prior. Using the MNIST data set, we demonstrate that the presented FL framework can achieve almost identical classification performance with the case that performs no compression, while achieving a significant reduction of communication overhead.","PeriodicalId":6802,"journal":{"name":"2021 IEEE Globecom Workshops (GC Wkshps)","volume":"42 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89573104","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: 5

Globecom 2020 Advisory Committee Globecom 2020咨询委员会

2021 IEEE Globecom Workshops (GC Wkshps) Pub Date : 2021-12-01 DOI: 10.1109/gcwkshps52748.2021.9682137

引用次数: 0

A Survey of The Relationship Between Human Faces And Body Mass Index (BMI) 人脸与身体质量指数(BMI)关系的研究

2021 IEEE Globecom Workshops (GC Wkshps) Pub Date : 2021-12-01 DOI: 10.1109/GCWkshps52748.2021.9682060

Yubo Zhang, Wei Li

引用次数: 0

Neural Joint Source-Channel Decoding using Arithmetic Codes 使用算术码的神经联合源信道解码

2021 IEEE Globecom Workshops (GC Wkshps) Pub Date : 2021-12-01 DOI: 10.1109/GCWkshps52748.2021.9682040

Zijian Liang, K. Niu, Jincheng Dai

{"title":"Neural Joint Source-Channel Decoding using Arithmetic Codes","authors":"Zijian Liang, K. Niu, Jincheng Dai","doi":"10.1109/GCWkshps52748.2021.9682040","DOIUrl":"https://doi.org/10.1109/GCWkshps52748.2021.9682040","url":null,"abstract":"Traditional iterative joint source-channel coding (JSCD) scheme based on soft-in-soft-out (SISO) decoding for arithmetic codes (AC) has a very high implementation complexity, which will cause an unbearable decoding latency due to a plenty of AC decoding steps and cross-layer interactions between physical layer and application layer. To tackle this, we propose a learning-based joint source-channel decoding approach, neural-JSCD, which consists of a series of AC SISO decoders and channel SISO decoders. The proposed approach introduces weights and offset factors to the simplified AC SISO decoders and damping factors to the output extrinsic information of both AC and channel SISO decoders, cooperated with trainable low-density parity-check (LDPC) neural decoders to realize the iterative decoding for AC. Through a greedy training method based on gradient descent, the learnable factors of neural-JSCD can be tuned to learn the a priori information of arithmetic codes, thus avoiding the great number of AC decoding steps together with cross-layer interactions during the iterative decoding process and rapidly reducing the implementation complexity of iterative AC decoding. Simulation results show that with a better decoding performance, neural-JSCD can reduce the number of iterations by at least 50% with no AC decoding steps and cross-layer interactions compared to traditional JSCD, in consequence, it greatly reduces the decoding latency of iterative decoding.","PeriodicalId":6802,"journal":{"name":"2021 IEEE Globecom Workshops (GC Wkshps)","volume":"45 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85925152","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

Throughput-Efficient Blockchain for Internet-of-Vehicles 高效的车联网区块链

2021 IEEE Globecom Workshops (GC Wkshps) Pub Date : 2021-12-01 DOI: 10.1109/GCWkshps52748.2021.9681973

Weiquan Ni, Alia Asheralieva, C. Maple, Md. Monjurul Karim, D. Niyato, Qiang Yan

{"title":"Throughput-Efficient Blockchain for Internet-of-Vehicles","authors":"Weiquan Ni, Alia Asheralieva, C. Maple, Md. Monjurul Karim, D. Niyato, Qiang Yan","doi":"10.1109/GCWkshps52748.2021.9681973","DOIUrl":"https://doi.org/10.1109/GCWkshps52748.2021.9681973","url":null,"abstract":"Internet-of-Vehicle (IoV) is empowering smart vehicles with data collection and sharing capabilities, and blockchains have been introduced to manage the IoV data due to many advantages, including decentralization, security, reliability, and scalability. Nevertheless, existing IoV blockchain models suffer from poor security against collusion attacks instigated by malicious blockchain miners typically represented by roadside units (RSUs). To address this problem, additional block verifiers, e.g., vehicles, can be recruited during block verification, which enhances security but also can lead to the reduced throughput. Therefore, in this paper, we propose a resource management scheme for IoV blockchains to enhance the system security while maximizing the throughput by optimizing contributed computing resources from RSUs and recruited vehicles. We show that the optimal strategies of RSUs and vehicles can be found through the Karush-Kuhn-Tucker (KKT) conditions and verify (using simulations) that our scheme achieves the higher throughput with enhanced security compared to the existing IoV blockchains.","PeriodicalId":6802,"journal":{"name":"2021 IEEE Globecom Workshops (GC Wkshps)","volume":"16 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77068272","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

Cooperative Localization Enhancement through GNSS Raw Data in Vehicular Networks 基于GNSS原始数据的车联网协同定位增强

2021 IEEE Globecom Workshops (GC Wkshps) Pub Date : 2021-12-01 DOI: 10.1109/GCWkshps52748.2021.9682163

Alex Minetto, Simone Zocca, Francesco Raviglione, M. Malinverno, C. Casetti, C. Chiasserini, F. Dovis

{"title":"Cooperative Localization Enhancement through GNSS Raw Data in Vehicular Networks","authors":"Alex Minetto, Simone Zocca, Francesco Raviglione, M. Malinverno, C. Casetti, C. Chiasserini, F. Dovis","doi":"10.1109/GCWkshps52748.2021.9682163","DOIUrl":"https://doi.org/10.1109/GCWkshps52748.2021.9682163","url":null,"abstract":"The evolution and integration of communication networks and positioning technologies are evolving at a fast pace in the framework of vehicular systems. The mutual dependency of such two capabilities can enable several new cooperative paradigms, whose adoption is however slowed down by the lack of suitable open protocols, especially related to the positioning and navigation domain. In light of this, the paper introduces a novel vehicular message type, namely the Cooperative Enhancement Message (CEM), and an associated open protocol to enable the sharing of Global Navigation Satellite Systems (GNSS) raw measurements among connected vehicles. The proposed CEM aims at extending existent approaches such as Cooperative Awareness Messages (CAM) and Collective Perception Messages (CPM) by complementing their paradigms with a cooperative enhancement of the localization accuracy, precision, and integrity proposed by state-of-the-art solutions. Besides the definition of CEMs and a related protocol, a validation of the approach is proposed through a novel simulation framework. A preliminary analysis of the network performance is presented in the case where CEM and CAM transmissions coexist and are concurrently used to support cooperative vehicle applications.","PeriodicalId":6802,"journal":{"name":"2021 IEEE Globecom Workshops (GC Wkshps)","volume":"1243 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76812908","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