2020 IEEE Latin-American Conference on Communications (LATINCOM)最新文献_第4页

Optimization of computer networks design integrating dependability and business aspects 计算机网络设计的优化集成了可靠性和商业方面

2020 IEEE Latin-American Conference on Communications (LATINCOM) Pub Date : 2020-11-18 DOI: 10.1109/LATINCOM50620.2020.9282310

A. Guimarães, P. Maciel, Rivalino Matias

引用次数: 1

Aircraft Signal Detection in Heavy Co-Channel Interference Environment 重共信道干扰环境下的飞机信号检测

2020 IEEE Latin-American Conference on Communications (LATINCOM) Pub Date : 2020-11-18 DOI: 10.1109/LATINCOM50620.2020.9282328

François L. E. Neindre, G. Ferré, D. Dallet, Emilie Boulanger, F. Letellier

引用次数: 2

On a Clustering Partitioning Approach for Wireless Visible Light Communication Networks 无线可见光通信网络的聚类划分方法研究

2020 IEEE Latin-American Conference on Communications (LATINCOM) Pub Date : 2020-11-18 DOI: 10.1109/LATINCOM50620.2020.9282330

P. Adasme, Fabián Seguel, A. D. Firoozabadi

{"title":"On a Clustering Partitioning Approach for Wireless Visible Light Communication Networks","authors":"P. Adasme, Fabián Seguel, A. D. Firoozabadi","doi":"10.1109/LATINCOM50620.2020.9282330","DOIUrl":"https://doi.org/10.1109/LATINCOM50620.2020.9282330","url":null,"abstract":"In this paper, we consider the problem of forming clusters of nodes in a wireless visible light communication (VLC for short) network. More precisely, let $G=(V, E)$ be a complete graph with a set of wireless devices $V$ (nodes) and a set of connection links $E$ (edges) representing the VLC network. We consider the problem of partitioning $kleq vert Vvert$ vertices into disjoint cliques of size of at most $lfloorfrac{k}{t}rfloor+1$ nodes where $t < k (k, tin mathbb{Z}_{+})$ such that the total power received plus the residual energy of each of the $k$ chosen nodes is maximized. Recall that clustering the sensor nodes of a network allows handling efficiently problems related to scalability, and routing, to name a few. In order to achieve the grouping task optimally, we propose integer linear and quadratic programming models based on classical combinatorial optimization problems from the literature. In order to compare our proposed models, we assume that every node in the network can communicate through a direct line of sight (DLOS) VLC channel. Our preliminary numerical results indicate that the quadratic model together with its linearized counterpart are the best ones as they allow to solve to optimality all tested instances in significantly less computational effort.","PeriodicalId":309189,"journal":{"name":"2020 IEEE Latin-American Conference on Communications (LATINCOM)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124686033","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

Channel Measurement and Modeling for Path Loss Prediction in Vegetated Environment for IEEE 802.11ah Network 植被环境下IEEE 802.11ah网络路径损耗预测的信道测量与建模

2020 IEEE Latin-American Conference on Communications (LATINCOM) Pub Date : 2020-11-18 DOI: 10.1109/LATINCOM50620.2020.9282327

L. Gonsioroski, Amanda Beatriz dos Santos, R. Silva, L. Mello, C. H. R. Oliveira, P. Castellanos

引用次数: 1

Design of a DuC-based MAC Protocol Considering Information Associated to the Battery 考虑电池相关信息的基于dc的MAC协议设计

2020 IEEE Latin-American Conference on Communications (LATINCOM) Pub Date : 2020-11-18 DOI: 10.1109/LATINCOM50620.2020.9282333

Vanessa L. Quintero, Aramis Pérez, C. Estevez

引用次数: 0

Performance Analysis of a Nanocolumn-RTD VCO for Emerging THz Wireless Applications 用于新兴太赫兹无线应用的纳米柱- rtd压控振荡器的性能分析

2020 IEEE Latin-American Conference on Communications (LATINCOM) Pub Date : 2020-11-18 DOI: 10.1109/LATINCOM50620.2020.9282323

Rafael Nóbrega, T. Raddo, Ulysses R. Duarte, I. Glesk, A. Sanches, M. Loiola

{"title":"Performance Analysis of a Nanocolumn-RTD VCO for Emerging THz Wireless Applications","authors":"Rafael Nóbrega, T. Raddo, Ulysses R. Duarte, I. Glesk, A. Sanches, M. Loiola","doi":"10.1109/LATINCOM50620.2020.9282323","DOIUrl":"https://doi.org/10.1109/LATINCOM50620.2020.9282323","url":null,"abstract":"The data rates which can be processed by integrated communication systems are increasing as the CMOS process and photonic technologies scale. Emerging bandwidth-hungry applications demand new solutions based on terahertz (THz) systems. This work proposes a GaAs/AlAs nanocolumn-Resonant Tunneling Diode (Nano-RTD) device as a voltage-controlled oscillator (VCO) for frequency generation in the THz spectrum window, i.e., Y-band (325 - 500 GHz). A comprehensive semianalytical approach to evaluating the performance of the Nano-RTD VCO device is developed. The latter addresses the oscillation frequency, maximum oscillation frequency, tuning range, output power, DC consumption power, and DC/AC conversion efficiency. Moreover, the oscillation stability of the designed device in the Y-band was numerically verified. Results shown that the device can operate in the Y-band (@ ~500 GHz and 300 K), with a very-low DC power consumption down to 0.16 mW, along with a good DC/AC conversion efficiency (2.4%). The Nano-RTD VCO is compatible with current CMOS fabrication technology and has a very compact footprint (2000 nm2). Finally, the device may be used as part of system solutions to satisfying emerging THz wireless applications such as in-body nano-communication, wireless nano-networks, and network-on-chip.","PeriodicalId":309189,"journal":{"name":"2020 IEEE Latin-American Conference on Communications (LATINCOM)","volume":"81 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115748764","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

Classifying and Understanding Tor Traffic Using Tree-Based Models 基于树模型的流量分类与理解

2020 IEEE Latin-American Conference on Communications (LATINCOM) Pub Date : 2020-11-18 DOI: 10.1109/LATINCOM50620.2020.9282317

Paulo Calvo, J. Guevara-Coto, Adrián Lara

{"title":"Classifying and Understanding Tor Traffic Using Tree-Based Models","authors":"Paulo Calvo, J. Guevara-Coto, Adrián Lara","doi":"10.1109/LATINCOM50620.2020.9282317","DOIUrl":"https://doi.org/10.1109/LATINCOM50620.2020.9282317","url":null,"abstract":"Over the past years the use of anonymization services has gained significant relevance as more users are interested in protecting their data and privacy on the internet. One of the most popular ways to achieve this result is Tor. The anonymity and untraceability that Tor provides, however, can also be used by ill-intentioned users who try to take advantage of bypassing security control and policies. The Cybersecurity and Infrastructure Security Agency (CISA) mentions two methods of recognizing Tor traffic in the enterprise: indicator- or behavior-based analysis. The first one uses log analysis and lists of Tor exit nodes to identify the suspicious activity while the latter inspects patterns in TCP and UDP ports, DNS queries and inspecting the payload of the packets. In this paper, we propose a different approach using white-box machine learning models such as decision trees and Random Forest. On the one hand, our classifier achieves accuracy levels above 95%. On the other hand, our approach is the first one to allow understanding the importance of each traffic feature in the classification. Our results demonstrate that the TCP window size, the frame size and time related traffic features can be used to identify Tor traffic. In this paper we will describe a Machine Learning methodology used to identify Tor network traffic utilizing decision trees C5.0 and Random Forest. We followed a white-box approach and accomplished accuracy of over 95% in the prediction in both models. We also present an analysis of the importance of the top predictor variables.","PeriodicalId":309189,"journal":{"name":"2020 IEEE Latin-American Conference on Communications (LATINCOM)","volume":"74 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115157529","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

Find My Car: Simple RSS-based UWB Localization Algorithms for Single and Multiple Transmitters 找我的车:单发射机和多发射机的基于rss的超宽带定位算法

2020 IEEE Latin-American Conference on Communications (LATINCOM) Pub Date : 2020-11-18 DOI: 10.1109/LATINCOM50620.2020.9282293

Abhishek Sourya, Shivashish Dutta, A. Chandra, A. Prokeš, Minseok Kim

{"title":"Find My Car: Simple RSS-based UWB Localization Algorithms for Single and Multiple Transmitters","authors":"Abhishek Sourya, Shivashish Dutta, A. Chandra, A. Prokeš, Minseok Kim","doi":"10.1109/LATINCOM50620.2020.9282293","DOIUrl":"https://doi.org/10.1109/LATINCOM50620.2020.9282293","url":null,"abstract":"This paper analyzes a scenario where single or multiple sensors placed on a parked car help the owner to find the car in a parking lot. It is assumed that the sensors communicate with the owner device over ultra-wide-band (UWB) and the owner device only records the received signal strength (RSS) values. Based on the RSS data, which are obtained from a field test, two algorithms are proposed, first, when there is only one UWB sensor transmitting from the car, and second, when there are three such transmitters available. For the single transmitter case, we used a multi-slope method for RSS-based ranging which yielded an average improvement of 2.5% in ranging accuracy over the basic linear regression model. For the three transmitter case, we are estimating distance of the receiver from the transmitters in an individual manner and then enhance the accuracy of the distance estimates with the knowledge of the other distances. The algorithm is simple, can act with heterogeneous sensor types and do not require time synchronization among transmitters, yet achieve an 8% improvement in ranging accuracy.","PeriodicalId":309189,"journal":{"name":"2020 IEEE Latin-American Conference on Communications (LATINCOM)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117284672","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

MSE Analysis of Bi-scale LMS Used for Narrowband Interference Cancellation 窄带干扰消除双尺度LMS的MSE分析

2020 IEEE Latin-American Conference on Communications (LATINCOM) Pub Date : 2020-11-18 DOI: 10.1109/LATINCOM50620.2020.9282346

Tamoghna Roy, T. Ikuma, A. Beex

引用次数: 0

Multimetric Online Intrusion Detection in Software-Defined Wireless Sensor Networks 软件定义无线传感器网络中的多度量在线入侵检测

2020 IEEE Latin-American Conference on Communications (LATINCOM) Pub Date : 2020-11-18 DOI: 10.1109/LATINCOM50620.2020.9282312

G. Segura, A. Chorti, C. Margi

{"title":"Multimetric Online Intrusion Detection in Software-Defined Wireless Sensor Networks","authors":"G. Segura, A. Chorti, C. Margi","doi":"10.1109/LATINCOM50620.2020.9282312","DOIUrl":"https://doi.org/10.1109/LATINCOM50620.2020.9282312","url":null,"abstract":"Software-defined wireless sensor networks have attracted considerable attention in recent years as they simplify the network management and provide the framework to automate infrastructure sharing. On the other hand, the centralization and planes' separation can turn SDNs vulnerable to new types of denial of service attacks. Existing intrusion detection approaches are not in general suitable for restricted networks or do not achieve optimal detection rates. This work aims at fulfilling both requirements by using a new lightweight, multimetric, online change point detector to monitor performance metrics that are impacted when the network is under attack. There are two major novelties in the proposed detector referring to previous works: first, we move to a purely online detector, secondly, we monitor in parallel multiple metrics, increasing the detection vector space to different types of attack. Our tests show that intrusion detection monitoring control overhead and data packets delivery rate in a SDWSN results in enhanced detection rates over 96% in all topologies and levels of attacks. We finally show that with a high probability (exceeding 89% in all cases) it is possible to identify the “type” of the attack.","PeriodicalId":309189,"journal":{"name":"2020 IEEE Latin-American Conference on Communications (LATINCOM)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126465772","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