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2021 IEEE 46th Conference on Local Computer Networks (LCN)最新文献

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Deep Reinforcement Learning for Persistent Cruise Control in UAV-aided Data Collection 无人机辅助数据采集中持续巡航控制的深度强化学习
2021 IEEE 46th Conference on Local Computer Networks (LCN) Pub Date : 2021-10-01 DOI: 10.1109/lcn52139.2021.9525022
Harrison Kurunathan, Kai Li, Wei Ni, E. Tovar, F. Dressler
{"title":"Deep Reinforcement Learning for Persistent Cruise Control in UAV-aided Data Collection","authors":"Harrison Kurunathan, Kai Li, Wei Ni, E. Tovar, F. Dressler","doi":"10.1109/lcn52139.2021.9525022","DOIUrl":"https://doi.org/10.1109/lcn52139.2021.9525022","url":null,"abstract":"Autonomous UAV cruising is gaining attention due to its flexible deployment in remote sensing, surveillance, and reconnaissance. A critical challenge in data collection with the autonomous UAV is the buffer overflows at the ground sensors and packet loss due to lossy airborne channels. Trajectory planning of the UAV is vital to alleviate buffer overflows as well as channel fading. In this work, we propose a Deep Deterministic Policy Gradient based Cruise Control (DDPG-CC) to reduce the overall packet loss through online training of headings and cruise velocity of the UAV, as well as the selection of the ground sensors for data collection. Preliminary performance evaluation demonstrates that DDPG-CC reduces the packet loss rate by under 5% when sufficient training is provided to the UAV.","PeriodicalId":222740,"journal":{"name":"2021 IEEE 46th Conference on Local Computer Networks (LCN)","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117319164","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
EADAS: Edge Assisted Adaptation Scheme for HTTP Adaptive Streaming EADAS: HTTP自适应流的边缘辅助适应方案
2021 IEEE 46th Conference on Local Computer Networks (LCN) Pub Date : 2021-10-01 DOI: 10.1109/LCN52139.2021.9524883
Jesús Aguilar Armijo, C. Timmerer, H. Hellwagner
{"title":"EADAS: Edge Assisted Adaptation Scheme for HTTP Adaptive Streaming","authors":"Jesús Aguilar Armijo, C. Timmerer, H. Hellwagner","doi":"10.1109/LCN52139.2021.9524883","DOIUrl":"https://doi.org/10.1109/LCN52139.2021.9524883","url":null,"abstract":"Mobile networks equipped with edge computing nodes enable access to information that can be leveraged to assist client-based adaptive bitrate (ABR) algorithms in making better adaptation decisions to improve both Quality of Experience (QoE) and fairness. For this purpose, we propose a novel on-the-fly edge mechanism, named EADAS (Edge Assisted Adaptation Scheme for HTTP Adaptive Streaming), located at the edge node that assists and improves the ABR decisions on-the-fly. EADAS proposes (i) an edge ABR algorithm to improve QoE and fairness for clients and (ii) a segment prefetching scheme. The results show a QoE increase of 4.6%, 23.5%, and 24.4% and a fairness increase of 11%, 3.4%, and 5.8% when using a buffer-based, a throughput-based, and a hybrid ABR algorithm, respectively, at the client compared with client-based algorithms without EADAS. Moreover, QoE and fairness among clients can be prioritized using parameters of the EADAS algorithm according to service providers’ requirements.","PeriodicalId":222740,"journal":{"name":"2021 IEEE 46th Conference on Local Computer Networks (LCN)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116880457","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
LaFlector: a Privacy-preserving LiDAR-based Approach for Accurate Indoor Tracking LaFlector:一种保护隐私的基于激光雷达的精确室内跟踪方法
2021 IEEE 46th Conference on Local Computer Networks (LCN) Pub Date : 2021-10-01 DOI: 10.1109/lcn52139.2021.9524945
B. Rodrigues, Lukas Müller, E. Scheid, M. Franco, Christian Killer, B. Stiller
{"title":"LaFlector: a Privacy-preserving LiDAR-based Approach for Accurate Indoor Tracking","authors":"B. Rodrigues, Lukas Müller, E. Scheid, M. Franco, Christian Killer, B. Stiller","doi":"10.1109/lcn52139.2021.9524945","DOIUrl":"https://doi.org/10.1109/lcn52139.2021.9524945","url":null,"abstract":"Light Detection and Ranging (LiDAR) is used in various applications, from mapping the environment’s topography to self-driving vehicles. Among such applications, the use of LiDAR for indoor tracking and quantifying visitors’ interest (and ensuring safe distancing) is still not widely explored. Technologies based on wireless signals and video captures are typically used for indoor tracking, but they deficits concerning the lack of accuracy of captured signals or the lack of user privacy in the case of traditional surveillance cameras. Despite introducing tracking challenges inherent in the detection based on light reflection, LiDAR-based approaches represent a relatively low-cost solution for accurate indoor tracking. Thus, this paper presents LaFlector, a LiDAR-based indoor tracking system introducing tracking heuristics capable of detecting, classifying, and tracking several objects simultaneously, which are recorded and dynamically displayed in a 2D coordinate system. LaFlector was evaluated based on a low-cost 2D LiDAR hardware (Slamtec Mapper M1M1) and capable of detecting moving objects with high precision, showing in practice that a LiDAR-based can be used to track visitors’ interest and count the number of moving objects.","PeriodicalId":222740,"journal":{"name":"2021 IEEE 46th Conference on Local Computer Networks (LCN)","volume":"2016 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127480250","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
On Quantifying the Complexity of IoT Traffic 物联网流量复杂性量化研究
2021 IEEE 46th Conference on Local Computer Networks (LCN) Pub Date : 2021-10-01 DOI: 10.1109/lcn52139.2021.9525007
Lisa Liu, D. Essam, T. Lynar
{"title":"On Quantifying the Complexity of IoT Traffic","authors":"Lisa Liu, D. Essam, T. Lynar","doi":"10.1109/lcn52139.2021.9525007","DOIUrl":"https://doi.org/10.1109/lcn52139.2021.9525007","url":null,"abstract":"A single quantitative measure for characterizing the complexity of Internet-of-Things (IoT) network traffic remains elusive. Such a quantifier holds value in distinguishing the relative complexities of IoT network traffic in an increasingly heterogeneous IoT device landscape, enabling network operators to anticipate and provision for, as well as manage existing network infrastructure. In this paper, we apply relevant contemporary techniques used to quantify the complexity of regular network traffic to a modern, comprehensive empirical IoT network traffic dataset. The results were interpreted to discover their merits and pitfalls. Based on our findings, we contend there is a need to develop new quantitative measures that can accommodate the diversity of IoT traffic.","PeriodicalId":222740,"journal":{"name":"2021 IEEE 46th Conference on Local Computer Networks (LCN)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121342286","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 Multidimensional Trust Model for Vehicular Ad-Hoc Networks 车载Ad-Hoc网络的多维信任模型
2021 IEEE 46th Conference on Local Computer Networks (LCN) Pub Date : 2021-10-01 DOI: 10.1109/lcn52139.2021.9524960
Maryam Najafi, L. Khoukhi, Marc Lemercier
{"title":"A Multidimensional Trust Model for Vehicular Ad-Hoc Networks","authors":"Maryam Najafi, L. Khoukhi, Marc Lemercier","doi":"10.1109/lcn52139.2021.9524960","DOIUrl":"https://doi.org/10.1109/lcn52139.2021.9524960","url":null,"abstract":"In this paper, we propose a multidimensional trust model for vehicular networks. Our model evaluates the trustworthiness of each vehicle using two main modes: 1) Direct Trust Computation DTC related to a direct connection between source and target nodes, 2) Indirect Trust Computation ITC related to indirectly communication between source and target nodes. The principal characteristics of this model are flexibility and high fault tolerance, thanks to an automatic trust scores assessment. In our extensive simulations, we use Total Cost Rate to affirm the performance of the proposed trust model.","PeriodicalId":222740,"journal":{"name":"2021 IEEE 46th Conference on Local Computer Networks (LCN)","volume":"160 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134486866","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
Designing the Interplay of Energy Plane and Communication Plane in the Energy Packet Grid 能量包网格中能量平面与通信平面相互作用的设计
2021 IEEE 46th Conference on Local Computer Networks (LCN) Pub Date : 2021-10-01 DOI: 10.1109/LCN52139.2021.9525020
Klemens Schneider, Friedrich Wiegel, D. Schulz, V. Hagenmeyer, M. Hiller, R. Bless, M. Zitterbart
{"title":"Designing the Interplay of Energy Plane and Communication Plane in the Energy Packet Grid","authors":"Klemens Schneider, Friedrich Wiegel, D. Schulz, V. Hagenmeyer, M. Hiller, R. Bless, M. Zitterbart","doi":"10.1109/LCN52139.2021.9525020","DOIUrl":"https://doi.org/10.1109/LCN52139.2021.9525020","url":null,"abstract":"Power synchronicity and limited line capacities will become critical challenges in future power systems. In order to tackle them, we advance the energy packet grid (EP grid), which is an alternative energy grid paradigm, inspired by selected design principles of the Internet. The EP grid breaks up the grid into self-organizing, decentralized EP cells wherein EP devices exchange energy packets. Power synchronicity is independently solved within EP cells, leading to a higher robustness of the overall EP grid. We focus on the interplay between the energy plane and the communication plane, i.e., how power electronics and the ability to exchange messages enable an EP grid. In this context, we introduce SEPT, an EP transfer protocol that allows two neighboring EP devices to exchange energy packets. SEPT takes care of the interplay between the energy plane and the communication plane, adding a new interdisciplinary perspective to the field.","PeriodicalId":222740,"journal":{"name":"2021 IEEE 46th Conference on Local Computer Networks (LCN)","volume":"109 9-10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123177217","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 Deep Reinforcement Learning Approach for Service Migration in MEC-enabled Vehicular Networks 基于mec的车辆网络中服务迁移的深度强化学习方法
2021 IEEE 46th Conference on Local Computer Networks (LCN) Pub Date : 2021-10-01 DOI: 10.1109/LCN52139.2021.9524882
Amine Abouaomar, Zoubeir Mlika, Abderrahime Filali, S. Cherkaoui, A. Kobbane
{"title":"A Deep Reinforcement Learning Approach for Service Migration in MEC-enabled Vehicular Networks","authors":"Amine Abouaomar, Zoubeir Mlika, Abderrahime Filali, S. Cherkaoui, A. Kobbane","doi":"10.1109/LCN52139.2021.9524882","DOIUrl":"https://doi.org/10.1109/LCN52139.2021.9524882","url":null,"abstract":"Multi-access edge computing (MEC) is a key enabler to reduce the latency of vehicular network. Due to the vehicles mobility, their requested services (e.g., infotainment services) should frequently be migrated across different MEC servers to guarantee their stringent quality of service requirements. In this paper, we study the problem of service migration in a MEC-enabled vehicular network in order to minimize the total service latency and migration cost. This problem is formulated as a nonlinear integer program and is linearized to help obtaining the optimal solution using off-the-shelf solvers. Then, to obtain an efficient solution, it is modeled as a multi-agent Markov decision process and solved by leveraging deep Q learning (DQL) algorithm. The proposed DQL scheme performs a proactive services migration while ensuring their continuity under high mobility constraints. Finally, simulations results show that the proposed DQL scheme achieves close-to-optimal performance.","PeriodicalId":222740,"journal":{"name":"2021 IEEE 46th Conference on Local Computer Networks (LCN)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129090285","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: 15
Suitability of Graph Representation for BGP Anomaly Detection 图表示在BGP异常检测中的适用性
2021 IEEE 46th Conference on Local Computer Networks (LCN) Pub Date : 2021-10-01 DOI: 10.1109/LCN52139.2021.9524941
Kevin Hoarau, Pierre-Ugo Tournoux, Tahiry Razafindralambo
{"title":"Suitability of Graph Representation for BGP Anomaly Detection","authors":"Kevin Hoarau, Pierre-Ugo Tournoux, Tahiry Razafindralambo","doi":"10.1109/LCN52139.2021.9524941","DOIUrl":"https://doi.org/10.1109/LCN52139.2021.9524941","url":null,"abstract":"The Border Gateway Protocol (BGP) is in charge of the route exchange at the Internet scale. Anomalies in BGP can have several causes (mis-configuration, outage and attacks). These anomalies are classified into large or small scale anomalies. Machine learning models are used to analyze and detect anomalies from the complex data extracted from BGP behavior. Two types of data representation can be used inside the machine learning models: a graph representation of the network (graph features) or a statistical computation on the data (statistical features). In this paper, we evaluate and compare the accuracy of machine learning models using graph features and statistical features on both large and small scale BGP anomalies. We show that statistical features have better accuracy for large scale anomalies, and graph features increase the detection accuracy by 15% for small scale anomalies and are well suited for BGP small scale anomaly detection.","PeriodicalId":222740,"journal":{"name":"2021 IEEE 46th Conference on Local Computer Networks (LCN)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132037009","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
Alternative Authentication with Smart Contracts for Online Games 在线游戏智能合约的替代认证
2021 IEEE 46th Conference on Local Computer Networks (LCN) Pub Date : 2021-10-01 DOI: 10.1109/lcn52139.2021.9524886
Michał Boroń, Anna Kobusińska
{"title":"Alternative Authentication with Smart Contracts for Online Games","authors":"Michał Boroń, Anna Kobusińska","doi":"10.1109/lcn52139.2021.9524886","DOIUrl":"https://doi.org/10.1109/lcn52139.2021.9524886","url":null,"abstract":"Safely keeping the account’s private key is vital in blockchain technology, as there are no native blockchain mechanisms for recovering the account when the private key is lost. Therefore, this paper proposes a solution to this problem, running directly on the blockchain platform in the form of a smart contract, enabling deposit of digital assets into the contract for safekeeping, along with a list of security questions. The proposed solution can be used, for example, in online games. By providing proof of knowing answers to questions, a player can access his account without his private key. Furthermore, additional security measures are put in place to cope with malicious behaviour.","PeriodicalId":222740,"journal":{"name":"2021 IEEE 46th Conference on Local Computer Networks (LCN)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115708539","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
Flow-Aware Low-Latency Multipath Tunnelling 流感知低延迟多路径隧道
2021 IEEE 46th Conference on Local Computer Networks (LCN) Pub Date : 2021-10-01 DOI: 10.1109/lcn52139.2021.9525025
Richard Sailer, J. Hähner
{"title":"Flow-Aware Low-Latency Multipath Tunnelling","authors":"Richard Sailer, J. Hähner","doi":"10.1109/lcn52139.2021.9525025","DOIUrl":"https://doi.org/10.1109/lcn52139.2021.9525025","url":null,"abstract":"Multipath Tunnelling (MT) is an effective approach to increase the reliability and throughput of network connections. In contrast to Multipath TCP (MPTCP) or SCTP, it also works for UDP traffic and its deployment is easy. It requires neither full access to all uplink endpoints nor a multipath protocol implementation in every host. Despite its potential, research on MT is sparse. Most known prototypes use either round robin or MPTCP schedulers that are not able to fully utilize the potential of MT. This paper proposes and evaluates LLMT, a novel specific MT packet scheduling algorithm that achieves very low latency and high throughput for reliable and unreliable traffic. In multiple testbed experiments, we compare LLMT with several schedulers including LowRTT, OTIAS and AFMT for different network configurations. For TCP traffic, LLMT gains low latency and high throughput. For fixed rate UDP traffic, jitter and latency are the lowest among all competitors.","PeriodicalId":222740,"journal":{"name":"2021 IEEE 46th Conference on Local Computer Networks (LCN)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124822070","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
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