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2019 IEEE Latin-American Conference on Communications (LATINCOM)最新文献

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A novel fog-based resource allocation policy for vehicular clouds in the highway environment 公路环境下基于雾的车辆云资源分配策略
Pub Date : 2019-11-01 DOI: 10.1109/LATINCOM48065.2019.8937912
R. Pereira, D. Lieira, Marco A. C. da Silva, Adinovam H. M. Pimenta, Joahannes Costa, D. Rosário, R. Meneguette
Vehicular networks has unique characteristics compared to other wireless networks, such as, highly dynamic topology, short transmission time, among others. These characteristics becomes a challenge for management and allocation of vehicle cloud resources. In this paper, we propose a allocatioN and mANgement resourCe policY for vehicular cloud, called of NANCY. For this, we formulate the problem of allocation of resources through the mathematical method Multiple Attribute Decision, which will decide whether NANCY will allocate the resources available to attend or not the service requested by the vehicle. Simulation results showed that NANCY provides a larger amount of service to be provided, providing a reduction in the number of service locks due to its accuracy, as well as a reduction in the amount of services discarded due to its load balancing in resource allocation.
与其他无线网络相比,车载网络具有拓扑高度动态、传输时间短等独特的特点。这些特点对汽车云资源的管理和配置提出了挑战。本文提出了一种车辆云资源分配与管理策略,称为NANCY。为此,我们通过多属性决策的数学方法来制定资源的分配问题,该问题将决定NANCY是否将可用资源分配给参加或不参加车辆请求的服务。仿真结果表明,NANCY提供了更多的服务,由于其准确性减少了服务锁的数量,并且由于其在资源分配中的负载平衡而减少了丢弃的服务数量。
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引用次数: 22
A GAN to Fight Video-related Traffic Flooding: Super-resolution 对抗视频相关流量泛滥的GAN:超分辨率
Pub Date : 2019-11-01 DOI: 10.1109/LATINCOM48065.2019.8937966
J. M. L. Filho, C. Melo
Image and Video Super-Resolution problems become relevant in applied Deep learning due to recent results on using Convolutional Neural Networks and Adversarial Training method to solve such problems. This body of work has focused on conceiving or improving super-resolution methods, and validating them. Little attention has been devoted to their application. Video streaming has the highest popularity among Internet users being responsible for the most significant portion of today's Internet traffic. In this paper, a single image super-resolution model is applied to conceive a video super-resolution model. The designed model was tested against a video base made up of 220 clips, and each clip was encoded in four resolutions. The numerical results showed that the conceived model output is virtually indistinguishable from its ground truth and its use in the context of video distribution decrease by almost 84.5% the related traffic.
由于最近使用卷积神经网络和对抗训练方法解决图像和视频超分辨率问题的结果,图像和视频超分辨率问题与应用深度学习相关。这项工作主要集中在构思或改进超分辨率方法,并验证它们。很少有人注意到它们的应用。视频流媒体在互联网用户中最受欢迎,占当今互联网流量的最重要部分。本文采用单图像超分辨率模型来构建视频超分辨率模型。设计的模型在由220个片段组成的视频库中进行了测试,每个片段以四种分辨率进行编码。数值结果表明,所构想的模型输出与真实情况几乎无法区分,并且在视频分发背景下使用该模型可以减少近84.5%的相关流量。
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引用次数: 0
Foundations of Data Quality Assurance for IoT-based Smart Applications 基于物联网的智能应用数据质量保证基础
Pub Date : 2019-11-01 DOI: 10.1109/LATINCOM48065.2019.8937930
R. Togneri, Glauber Camponogara, J. Soininen, C. Kamienski
Most current scientific and industrial efforts in IoT are geared towards building integrated platforms to finally realize its potential in commercial scale applications. The IoT and Big Data contemporary context brings a number of challenges, such as providing quality assurance (defined by availability and veracity) for sensor data. Traditional signal processing approaches are no longer sufficient, requiring combined approaches in both architectural and analytical layers. This paper proposes a discussion on the adequate foundations of a new general approach aimed at increasing robustness and antifragility of IoT-based smart applications. In addition, it shows results of preliminary experiments with real data in the context of precision irrigation using multivariate methods to identify relevant situations, such as sensor failures and the mismatch of contextual sensor information due to different spatial granularities capture. Our results provide initial indications of the adequacy of the proposed framework.
目前,物联网领域的大多数科学和工业努力都是面向构建集成平台,以最终实现其在商业规模应用中的潜力。物联网和大数据的当代背景带来了许多挑战,例如为传感器数据提供质量保证(由可用性和准确性定义)。传统的信号处理方法已经不够了,需要在架构层和分析层结合使用方法。本文提出了一种新的通用方法的充分基础的讨论,旨在提高基于物联网的智能应用的鲁棒性和反脆弱性。此外,本文还展示了基于精确灌溉背景下真实数据的初步实验结果,使用多元方法识别相关情况,如传感器故障和由于不同空间粒度捕获而导致的上下文传感器信息不匹配。我们的结果提供了建议框架的充分性的初步迹象。
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引用次数: 6
Spectral Idleness Minimization in the Elastic Single Link under Incremental Traffic 增量流量下弹性单链路频谱空闲最小化
Pub Date : 2019-11-01 DOI: 10.1109/LATINCOM48065.2019.8937937
H. Waldman, R. C. Almeida, R. C. Bortoletto
The paper addresses the problem of minimizing total slot idle time in assigning spectrum to an incremental 2-class traffic. Deadlock avoidance is first shown to be possible in many instances from knowledge of the connection sizes, thus keeping total idleness finite. Then, minimization of the finite residual idleness is shown to be possible with appropriate traffic-aware assignment policies.
本文研究了在为增量2类业务分配频谱时最小化总时隙空闲时间的问题。在许多情况下,通过了解连接大小可以避免死锁,从而使总空闲保持有限。然后,通过适当的交通感知分配策略,最小化有限剩余空闲是可能的。
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引用次数: 4
A new LoRa-compatible modulation improving the LoRaWAN network level performance 一种新的lora兼容调制,提高了LoRaWAN网络级性能
Pub Date : 2019-11-01 DOI: 10.1109/LATINCOM48065.2019.8937880
L. Vangelista, Alessandro Cattapan
In this paper we propose an improvement of the LoRa modulation called “Dual Orthogonal LoRa Modulation” which increases the link level bit rate of about 70%-80% at the expense of a 3dB penalty SNR. The Dual Orthogonal LoRa Modulation is introduced in a cross-layer design framework: this paper shows that - despite the penalty of 3dB in SNR - the overall performance of the LoRaWAN network are greatly improved in some real-life scenarios, taking into account the problems most highlighted for LoRaWAN networks i.e., the congestion and the scalability of LoRaWAN. The improvements at the network level are achieved thanks to the characteristics of the Dual Orthogonal LoRa Modulation which provide additional levels of freedom to the Spreading Factors assignment
在本文中,我们提出了一种改进的LoRa调制称为“双正交LoRa调制”,以牺牲3dB的信噪比为代价,将链路级比特率提高了约70%-80%。在跨层设计框架中引入了双正交LoRa调制:本文表明,考虑到LoRaWAN网络最突出的问题,即拥塞和LoRaWAN的可扩展性,尽管在信噪比上损失了3dB,但在一些实际场景中,LoRaWAN网络的整体性能得到了极大的提高。网络层面的改进得益于双正交LoRa调制的特性,它为扩展因子分配提供了额外的自由度
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引用次数: 8
Sensor Allocation in a Hybrid Star-Mesh IoT Network using Genetic Algorithm and K-Medoids
Pub Date : 2019-11-01 DOI: 10.1109/LATINCOM48065.2019.8937958
Willian Santos, Wesley S. Costa, Menno J. Faber, Jair A. L. Silva, H. Rocha, M. Segatto
As the number of devices in IoT networks grows, the requirements for communication reliability increases. To ensure this reliability, in this work a hybrid network topology for IoT sensors is proposed, using mesh and star topologies. This hybrid network aims to ensure greater network coverage for sensor allocation. For the network planning, a fusion of the Genetic Algorithm and K-Medoids Algorithm was proposed. An experiment was performed with LoRa where the acquired data were used to test the developed algorithm. In addition the hardware for the proposed Cluster Head of the mesh network was developed.
随着物联网网络中设备数量的增加,对通信可靠性的要求也越来越高。为了确保这种可靠性,在这项工作中,提出了一种用于物联网传感器的混合网络拓扑,使用网格和星型拓扑。该混合网络旨在为传感器分配确保更大的网络覆盖。针对网络规划问题,提出了一种融合遗传算法和K-Medoids算法的网络规划方法。利用LoRa进行了实验,利用采集到的数据对所开发的算法进行了测试。此外,还开发了网状网络簇头的硬件。
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引用次数: 1
Cell-Free System's Performance under RF Mismatch 射频失配下无小区系统的性能研究
Pub Date : 2019-11-01 DOI: 10.1109/LATINCOM48065.2019.8938026
R. Duarte, M. Alencar, W. Lopes, F. Carvalho, Danilo B. T. Almeida
The need to increase and to uniformize transmission rates for all users of multi-user communications revived the interest in configurations in which base station antennas are distributed in space. In particular, cell-free system, where space is not divided into limited regions, and all access points serve all users, have received special attention. Although its weak channel hardening, this systems have shown to be advantageous in several ways. In this work, we obtained an analytical expression for the signal-to-interference-plus-noise-ratio in systems cell-free affected by an effect called radio frequency mismatch. The effectiveness of this expression was evaluated based on the analysis of achievable rates under various conditions. Since there was a displacement between the Cumulative Distribution Function curves obtained with the analytical expression and the channel realizations, the rates remained in the same order of magnitude, indicating that it can be used to predict system performance with some precision.
由于需要提高和统一多用户通信的所有用户的传输速率,人们重新对在空间中分布基站天线的配置产生了兴趣。特别是,空间不被划分为有限区域,所有接入点为所有用户服务的无小区系统受到了特别的关注。虽然它的弱通道硬化,该系统已显示出在几个方面的优势。在这项工作中,我们获得了无单元系统中受射频不匹配效应影响的信号-干扰-噪声比的解析表达式。通过分析不同条件下的可达率来评价该表达式的有效性。由于用解析表达式得到的累积分布函数曲线与通道实现之间存在位移,因此速率保持在同一数量级,表明它可以用于一定精度的预测系统性能。
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引用次数: 4
Understanding and Characterizing Transmission Times for Compressed IP packets over LoRaWAN LoRaWAN上IP压缩报文传输时间的理解与表征
Pub Date : 2019-11-01 DOI: 10.1109/LATINCOM48065.2019.8938005
Rodrigo Muñoz Lara, Sandra Céspedes Umaña, A. Hafid
The Low Power Wide Area (LPWA) networks are expected to enable the massive connectivity of small and constrained devices to the Internet of Things. Due to the restricted nature of both end devices and network links, LPWA technologies employ network stacks that often do not define an interoperable network layer; instead, application data is usually placed directly into technology-specific layer-two frames. Besides not being able to run standard IP-based protocols at the end device, the lack of an IP layer also causes LPWA segments to operate in an isolated manner requiring middle boxes to interface non-IP LPWA technologies with the IP world. IETF is working to standardize a compression scheme, called Static Context Header Compression (SCHC), which will allow compressing the headers of IPv6 and UDP for LPWA networks, in a way that the end device is enabled with IP-based communications. In this paper, we focus on the LoRa/LoRaWAN technology and describe the way in which the selection of the compression rules in SCHC will translate into specific transmission delays. We conduct a study of the expected transmission times, namely the Time on Air (ToA), and propose two additional metrics to understand and characterize the impact of compression over the resultant delay of IP-based communications over LoRaWAN. Our work concludes that there is a non-linear relationship between Time on Air and the percentage of compression of each rule.
低功率广域(LPWA)网络有望实现小型和受限设备与物联网的大规模连接。由于终端设备和网络链路的限制性质,LPWA技术采用的网络堆栈通常没有定义可互操作的网络层;相反,应用程序数据通常直接放在特定于技术的第二层框架中。除了不能在终端设备上运行标准的基于IP的协议之外,缺乏IP层还导致LPWA段以孤立的方式运行,需要中间盒将非IP LPWA技术与IP世界连接起来。IETF正致力于标准化一种称为静态上下文报头压缩(SCHC)的压缩方案,该方案将允许对LPWA网络的IPv6和UDP报头进行压缩,从而使终端设备能够使用基于ip的通信。本文重点讨论了LoRa/LoRaWAN技术,并描述了SCHC中压缩规则的选择如何转化为特定的传输延迟。我们对预期传输时间进行了研究,即空中时间(ToA),并提出了两个额外的指标来理解和表征压缩对LoRaWAN上基于ip的通信的最终延迟的影响。我们的工作得出结论,在直播时间和每个规则的压缩百分比之间存在非线性关系。
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引用次数: 4
Tensor decomposition over a Fast-Prototyping HCP composed by CPU-GPU 基于CPU-GPU组成的快速原型HCP的张量分解
Pub Date : 2019-11-01 DOI: 10.1109/LATINCOM48065.2019.8937926
R. I. Acosta-Quiñonez, R. Rodriguez-Avila
Tensor decomposition has gained special attention in modern implementations for wide range of digital signal processing (DSP) areas. This decomposition has a transcendental role because most of DSP systems have a better representation when using models indexed with more than two indexes. The main drawback is that Tensor decomposition is a computationally-demanding algorithm and ad-hoc designs and implementations are costly and require long design periods. This paper presents the prototyping of Tensor decomposition as a proof-of-concept (PoC) over a high-performance CPU-GPU Heterogeneous Computing Platform (HCP)-based DSP blocks exposing variable levels of parallelism, throughput, resource utilization and with a modular approach that eliminates the overhead of designing ad-hoc architectures. Benefits of using the modular approach of this prototyping platform for implementing the Tensor decomposition is clear as the design time reduces and a clear idea of particular requirements for a final implementation is obtained from early stages of the PoC development.
张量分解在数字信号处理(DSP)领域的现代实现中得到了特别的关注。这种分解具有超越作用,因为大多数DSP系统在使用具有两个以上索引的模型时具有更好的表示。主要的缺点是张量分解是一种计算要求很高的算法,特别的设计和实现是昂贵的,需要很长的设计周期。本文提出了张量分解的原型,作为基于高性能CPU-GPU异构计算平台(HCP)的DSP块的概念验证(PoC),揭示了不同级别的并行性,吞吐量,资源利用率,并采用模块化方法消除了设计ad-hoc架构的开销。使用这种原型平台的模块化方法来实现张量分解的好处是显而易见的,因为设计时间减少了,并且从PoC开发的早期阶段获得了最终实现的特定需求的清晰概念。
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引用次数: 1
Using Aerial Unmanned Vehicles for Data Gathering in Wireless Sensor Networks 利用空中无人飞行器进行无线传感器网络数据采集
Pub Date : 2019-11-01 DOI: 10.1109/LATINCOM48065.2019.8937884
Rone Ilídio da Silva, C. M. Silva, Sergio de Oliveira, J. Nogueira
In this work, we address data gathering in Wireless Sensors Networks. Wireless sensor networks are composed of small and autonomous sensor devices. Typical applications include monitoring and recording physical conditions of the environment. Sensors count on limited processing power, small storage space, radio for short range communications, and limited battery. One major issue in wireless sensor networks is data gathering. Data gathering based on static sinks incur in premature energy exhaustion in nodes near the sink. By using mobile collectors, wireless sensors networks can save energy since the data routes tend to be smaller. In this article, we propose three data gathering algorithms. We analyze different strategies to either avoid packet collisions and to retransmit lost packets. The results indicate that packet collisions may substantially affect the network performance in wireless sensor networks data gathering.
在这项工作中,我们解决了无线传感器网络中的数据收集问题。无线传感器网络由小型自主传感器设备组成。典型的应用包括监测和记录环境的物理条件。传感器依赖于有限的处理能力、狭小的存储空间、用于短程通信的无线电和有限的电池。无线传感器网络的一个主要问题是数据收集。基于静态汇聚点的数据收集会导致汇聚点附近节点的能量过早耗尽。通过使用移动收集器,无线传感器网络可以节省能源,因为数据路由往往更小。在本文中,我们提出了三种数据收集算法。我们分析了不同的策略来避免数据包冲突和重传丢失的数据包。研究结果表明,在无线传感器网络数据采集中,数据包冲突会严重影响网络性能。
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引用次数: 2
期刊
2019 IEEE Latin-American Conference on Communications (LATINCOM)
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