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2023 IEEE 20th Consumer Communications & Networking Conference (CCNC)最新文献

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Neural Filter Design for Frequency Selective Channel Equalization 频率选择信道均衡的神经滤波器设计
2023 IEEE 20th Consumer Communications & Networking Conference (CCNC) Pub Date : 2023-01-08 DOI: 10.1109/CCNC51644.2023.10059823
Wooju Lee, Sangwoo Park, Dong-Wook Kim, Joonhyuk Kang
{"title":"Neural Filter Design for Frequency Selective Channel Equalization","authors":"Wooju Lee, Sangwoo Park, Dong-Wook Kim, Joonhyuk Kang","doi":"10.1109/CCNC51644.2023.10059823","DOIUrl":"https://doi.org/10.1109/CCNC51644.2023.10059823","url":null,"abstract":"Under frequency-selective multi-path channel environment, delayed copies of the transmitted symbols are summed up to form a received signal. In order to remove this intersymbol interference (ISI), linear minimum mean-square error (LMMSE) equalizer can be applied to the received signal to reconstruct the transmitted symbols. While being an optimal linear filter, the LMMSE equalizer ideally requires infinite length of the received signal, which is infeasible in practice. In order to mitigate this limitation of linear filters, we propose to utilize neural networks for equalization, referred to as neural filters. Numerical results verify that, given with enough pilot data, the proposed neural filter outperforms the optimal LMMSE equalizer that uses perfect knowledge on the channel realization vector.","PeriodicalId":117124,"journal":{"name":"2023 IEEE 20th Consumer Communications & Networking Conference (CCNC)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117134919","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
A Reliability Audit Mechanism based on Multi-layered Blockchain for Spatio-Temporal Data Retention System 基于多层区块链的时空数据保留系统可靠性审计机制
2023 IEEE 20th Consumer Communications & Networking Conference (CCNC) Pub Date : 2023-01-08 DOI: 10.1109/CCNC51644.2023.10059819
Junki Ueda, K. Tsukamoto, Hiroshi Yamamoto, Daiki Nobayashi, T. Ikenaga, Myung J. Lee
{"title":"A Reliability Audit Mechanism based on Multi-layered Blockchain for Spatio-Temporal Data Retention System","authors":"Junki Ueda, K. Tsukamoto, Hiroshi Yamamoto, Daiki Nobayashi, T. Ikenaga, Myung J. Lee","doi":"10.1109/CCNC51644.2023.10059819","DOIUrl":"https://doi.org/10.1109/CCNC51644.2023.10059819","url":null,"abstract":"IoT data includes Spatio-temporal data (STD) that is needed only at a specific time and place. In our previous research, we have proposed the STD data retention system (STD-RS), aiming to construct a novel architecture for STD distributing in a retention area by vehicles. However, since vehicles may distribute the STD in unexpected locations due to GPS errors or malicious behavior in a real environment. Therefore, we propose a reliability audit mechanism based on multi-layered blockchain managing and analyzing the history of STD distribution and vehicles' behavior in each retention area. Through simulation experiment, we demonstrated that our mechanism detects the malfunction of STD-RS effectively.","PeriodicalId":117124,"journal":{"name":"2023 IEEE 20th Consumer Communications & Networking Conference (CCNC)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117217446","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
Implementation of the Data Conversion Function for Wireless Environments for Beyond 5G Applications 超5G无线环境下数据转换功能的实现
2023 IEEE 20th Consumer Communications & Networking Conference (CCNC) Pub Date : 2023-01-08 DOI: 10.1109/CCNC51644.2023.10060497
Keishi Tokugawa, Jin Nakazato, Hiroki Matsuo, Keiichi Kubota, K. Sakaguchi
{"title":"Implementation of the Data Conversion Function for Wireless Environments for Beyond 5G Applications","authors":"Keishi Tokugawa, Jin Nakazato, Hiroki Matsuo, Keiichi Kubota, K. Sakaguchi","doi":"10.1109/CCNC51644.2023.10060497","DOIUrl":"https://doi.org/10.1109/CCNC51644.2023.10060497","url":null,"abstract":"Discussions have begun worldwide toward Beyond 5G/6G in the 2030s. In these challenges, the topic of intelligence is a controversial point on various layers of RAN (radio-access-network), core, edge, automation, etc. One of the ideas on that topic is a digital twin platform that integrates physical and cyberspace. This study focuses on the RAN side as the data input to the digital twin. Mainly, this paper proposes a method to obtain accurate coverage data and store it in cyberspace in a dynamically changing coverage environment. Besides, we implement the proposed method and evaluate its measurement results and effectiveness in an outdoor proof-of-concept field.","PeriodicalId":117124,"journal":{"name":"2023 IEEE 20th Consumer Communications & Networking Conference (CCNC)","volume":"14 19","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120841835","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
Encryption-based Security in Wearable Devices 基于加密的可穿戴设备安全性
2023 IEEE 20th Consumer Communications & Networking Conference (CCNC) Pub Date : 2023-01-08 DOI: 10.1109/CCNC51644.2023.10059824
Adriano Budzik, Gautam Srivastava, Mohamed Baza
{"title":"Encryption-based Security in Wearable Devices","authors":"Adriano Budzik, Gautam Srivastava, Mohamed Baza","doi":"10.1109/CCNC51644.2023.10059824","DOIUrl":"https://doi.org/10.1109/CCNC51644.2023.10059824","url":null,"abstract":"Wearable devices have become common accessories used in tracking fitness data or augmenting daily smartphone usage. However, not all manufacturers of inexpensive wearable devices have done sufficient work to protect the privacy of their users. Some devices have shown vulnerabilities that allow attackers to obtain data stored on a locked device. In this paper, we examine using ASCON, a set of lightweight cryptographic algorithms, to enhance security of wearable devices by encrypting locally stored data.","PeriodicalId":117124,"journal":{"name":"2023 IEEE 20th Consumer Communications & Networking Conference (CCNC)","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124997071","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
Online Federated Learning based Object Detection across Autonomous Vehicles in a Virtual World 虚拟世界中基于在线联邦学习的自动驾驶车辆目标检测
2023 IEEE 20th Consumer Communications & Networking Conference (CCNC) Pub Date : 2023-01-08 DOI: 10.1109/CCNC51644.2023.10060782
Shenghong Dai, S. Alam, Ravikumar Balakrishnan, Kangwook Lee, Suman Banerjee, N. Himayat
{"title":"Online Federated Learning based Object Detection across Autonomous Vehicles in a Virtual World","authors":"Shenghong Dai, S. Alam, Ravikumar Balakrishnan, Kangwook Lee, Suman Banerjee, N. Himayat","doi":"10.1109/CCNC51644.2023.10060782","DOIUrl":"https://doi.org/10.1109/CCNC51644.2023.10060782","url":null,"abstract":"Federated Learning (FL) enables collaborative training of machine learning models for edge devices (e.g., mobile phones) over a network without revealing raw data of the participants. The existing FL benchmarks mostly assume static distribution of local data over time failing to capture the behavior of real-world applications with space-time varying data (e.g., autonomous cars). Our framework addresses this limitation by leveraging popular open source physics simulator (CARLA) and FL framework (OpenFL) to allow collection of streaming data from the mobile agents and feeding them to a practically deployable FL engine for online collaborative training. It also provides the FL researchers with the ability to model data heterogeneity, annotate data with practically zero cost, and perform reproducible continual FL experiments. We believe that this is one of the first attempts to demonstrate online FL on realistic streaming datasets from a virtual world. The demo showcases this framework using a popular object detection use case.","PeriodicalId":117124,"journal":{"name":"2023 IEEE 20th Consumer Communications & Networking Conference (CCNC)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122535894","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
Experimental Evaluation of Rate Adaptation using Deep-Q-Network in IEEE 802.11 WLAN IEEE 802.11无线局域网中基于deep - q网络的速率自适应实验评估
2023 IEEE 20th Consumer Communications & Networking Conference (CCNC) Pub Date : 2023-01-08 DOI: 10.1109/CCNC51644.2023.10060609
Muhammad Harry Bintang Pratama, Tomoki Nakashima, Y. Nagao, M. Kurosaki, H. Ochi
{"title":"Experimental Evaluation of Rate Adaptation using Deep-Q-Network in IEEE 802.11 WLAN","authors":"Muhammad Harry Bintang Pratama, Tomoki Nakashima, Y. Nagao, M. Kurosaki, H. Ochi","doi":"10.1109/CCNC51644.2023.10060609","DOIUrl":"https://doi.org/10.1109/CCNC51644.2023.10060609","url":null,"abstract":"Rate adaptation algorithm has an important role in the Wi-Fi network. It ensures that the nodes transmit at a suitable transmission rate with minimum packet errors on the receiving side. However, there are cases when the existing algorithms fail to adapt to the changes in the communication environment. In this paper, we propose a rate adaptation algorithm using a Deep Q-network (DQN), in which the DQN agent controls the transmission rate of a node in response to the communication environment. We also evaluate the proposed algorithm using the field-programmable gate array (FPGA) and software-defined radio (SDR). The experimental result shows that the proposed algorithm can adaptively select the suitable MCS and maintain the throughput.","PeriodicalId":117124,"journal":{"name":"2023 IEEE 20th Consumer Communications & Networking Conference (CCNC)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129586579","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
A LoRa-mesh based system for marine Social IoT 基于LoRa-mesh的海洋社会物联网系统
2023 IEEE 20th Consumer Communications & Networking Conference (CCNC) Pub Date : 2023-01-08 DOI: 10.1109/CCNC51644.2023.10060829
Tommaso Patriti, S. Mirri, Roberto Girau
{"title":"A LoRa-mesh based system for marine Social IoT","authors":"Tommaso Patriti, S. Mirri, Roberto Girau","doi":"10.1109/CCNC51644.2023.10060829","DOIUrl":"https://doi.org/10.1109/CCNC51644.2023.10060829","url":null,"abstract":"Recently in the world of boats we hear about “smart boats”, or 3.0 connected boats. For many years, technology has entered the world of boats, especially as regards safety, some systems have become mandatory. With the spread of IoT systems, boats could be considered as sources of information for other boats in the same sea area or for the construction of coastal IoT services. In the marine context, measurements of environmental values such as sea water temperature, wave period and height or direction of currents, are carried out using buoys of considerable size and at a great distance from the coast. In this paper we want to present a Social Internet of Things system that allows the distribution of information between boaters and the integration with fixed IoT networks consisting of buoys and coastal stations. A preliminary LoRa mesh communication test is presented showing a stable mesh network in which each node is able to communicate in the sea with a radius of 5 Km.","PeriodicalId":117124,"journal":{"name":"2023 IEEE 20th Consumer Communications & Networking Conference (CCNC)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123853948","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
RRP: A Reliable Reinforcement Learning Based Routing Protocol for Wireless Medical Sensor Networks 一种可靠的基于强化学习的无线医疗传感器网络路由协议
2023 IEEE 20th Consumer Communications & Networking Conference (CCNC) Pub Date : 2023-01-08 DOI: 10.1109/CCNC51644.2023.10060225
Muhammad Shadi Hajar, H. Kalutarage, M. Al-Kadri
{"title":"RRP: A Reliable Reinforcement Learning Based Routing Protocol for Wireless Medical Sensor Networks","authors":"Muhammad Shadi Hajar, H. Kalutarage, M. Al-Kadri","doi":"10.1109/CCNC51644.2023.10060225","DOIUrl":"https://doi.org/10.1109/CCNC51644.2023.10060225","url":null,"abstract":"Wireless medical sensor networks (WMSNs) offer innovative healthcare applications that improve patients' quality of life, provide timely monitoring tools for physicians, and support national healthcare systems. However, despite these benefits, widespread adoption of WMSN advancements is still hampered by security concerns and limitations of routing protocols. Routing in WMSNs is a challenging task due to the fact that some WMSN requirements are overlooked by existing routing proposals. To overcome these challenges, this paper proposes a reliable multi-agent reinforcement learning based routing protocol (RRP). RRP is a lightweight attacks-resistant routing protocol designed to meet the unique requirements of WMSN. It uses a novel Q-learning model to reduce resource consumption combined with an effective trust management system to defend against various packet-dropping attacks. Experimental results prove the lightweightness of RRP and its robustness against blackhole, selective forwarding, sinkhole and complicated on-off attacks.","PeriodicalId":117124,"journal":{"name":"2023 IEEE 20th Consumer Communications & Networking Conference (CCNC)","volume":"193 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121741072","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
RADTEC: Re-authentication of IoT Devices with Machine Learning RADTEC:利用机器学习对物联网设备进行重新认证
2023 IEEE 20th Consumer Communications & Networking Conference (CCNC) Pub Date : 2023-01-08 DOI: 10.1109/CCNC51644.2023.10059777
Kaustubh Gupta, Nirnimesh Ghose, Boyang Wang
{"title":"RADTEC: Re-authentication of IoT Devices with Machine Learning","authors":"Kaustubh Gupta, Nirnimesh Ghose, Boyang Wang","doi":"10.1109/CCNC51644.2023.10059777","DOIUrl":"https://doi.org/10.1109/CCNC51644.2023.10059777","url":null,"abstract":"The use of Internet of Things (IoT) devices is higher than ever and is growing rapidly. Many IoT devices are manufactured by home appliance manufacturers where security and privacy is not the foremost concern. There does not exist a strict authentication method that verifies the identity of the device. This allows any rogue IoT device to authenticate and spoof various IoT device activities using compromised credentials. This paper addresses the issue by introducing a novel method for re- and continuous authentication utilizing a device-type classification as a new identity paradigm. We present RADTEC: a protocol for authenticating a device in a network by leveraging machine learning to classify the type of an IoT device attempting to connect to the network with an accuracy of over 95% in less than 0.65 milliseconds. We investigate multiple machine learning classifiers to infer the types of IoT devices and use them to develop a stricter and more efficient method for authentication.","PeriodicalId":117124,"journal":{"name":"2023 IEEE 20th Consumer Communications & Networking Conference (CCNC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130027438","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
Maximizing Network Throughput Using SD-RAN 使用SD-RAN最大化网络吞吐量
2023 IEEE 20th Consumer Communications & Networking Conference (CCNC) Pub Date : 2023-01-08 DOI: 10.1109/CCNC51644.2023.10059833
Fidan Mehmeti, Arled Papa, W. Kellerer
{"title":"Maximizing Network Throughput Using SD-RAN","authors":"Fidan Mehmeti, Arled Papa, W. Kellerer","doi":"10.1109/CCNC51644.2023.10059833","DOIUrl":"https://doi.org/10.1109/CCNC51644.2023.10059833","url":null,"abstract":"Software-Defined Radio Access Networks (SD-RANs), introduced in 5G, represent a paradigm shift in the process of cellular network resource allocation. The decoupling of the control from the data plane, and associating the former with a controller away from Base Stations (BSs), has enabled an increased flexibility in allocating network resources which would lead to performance improvements. However, so far, it is not yet clear to what extent this amelioration ranges in terms of the maximum throughput that can be achieved. Therefore, in this paper, we consider analytically the problem of maximizing the overall network throughput in an SD-RAN environment, by deriving the policy which accomplishes that along with the total throughput, of interest to cellular operators. We assess the performance with real user traces. Results show that the introduction of SD-RAN improves performance by at least 20%.","PeriodicalId":117124,"journal":{"name":"2023 IEEE 20th Consumer Communications & Networking Conference (CCNC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130164498","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
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