2018 IEEE Conference on Standards for Communications and Networking (CSCN)最新文献_第2页

NNCP: A Named Data Network Control Protocol for IoT Applications NNCP:面向物联网应用的命名数据网络控制协议

2018 IEEE Conference on Standards for Communications and Networking (CSCN) Pub Date : 2018-10-01 DOI: 10.1109/CSCN.2018.8581844

Boubakr Nour, K. Sharif, Fan Li, Hakima Khelifi, Hassine Moungla

引用次数: 18

Enhanced Unmanned Aerial Vehicle Communication Support in LTE-Advanced LTE-Advanced中增强的无人机通信支持

2018 IEEE Conference on Standards for Communications and Networking (CSCN) Pub Date : 2018-10-01 DOI: 10.1109/CSCN.2018.8581827

Jedrzej Stanczak, D. Koziol, I. Kovács, J. Wigard, Markus Wimmer, R. Amorim

引用次数: 14

Mobility Supported Energy Efficient Routing Protocol for IoT Based Healthcare Applications 基于物联网的医疗保健应用的移动性支持的节能路由协议

2018 IEEE Conference on Standards for Communications and Networking (CSCN) Pub Date : 2018-10-01 DOI: 10.1109/CSCN.2018.8581828

Maja Lazarevskal, R. Farahbakhsh, Nikesh ManShakya, N. Crespi

{"title":"Mobility Supported Energy Efficient Routing Protocol for IoT Based Healthcare Applications","authors":"Maja Lazarevskal, R. Farahbakhsh, Nikesh ManShakya, N. Crespi","doi":"10.1109/CSCN.2018.8581828","DOIUrl":"https://doi.org/10.1109/CSCN.2018.8581828","url":null,"abstract":"Smart healthcare has been one of the major use cases of the Internet of Things (IoT) and Wireless sensor network (WSN) applications. WSN as a technique for sensing and acquiring data in IoT applications must work upon providing an efficient routing for proper data transfer. One of the fundamental concerns of the routing in WSNs is the energy consumption and the lifetime of sensors, since most of them rely on a battery and neither cable-powered nor frequent battery replacement or recharging are appealing options. The required routing technique must balance the goals: selecting the most reliable minimum energy path when all nodes have high energy and avoiding the low residual energy nodes while supporting mobility. This paper introduces a theoretical framework for RPL (Routing Protocol for Low power and Lossy Networks) based routing protocols whose aim is to provide energy efficiency while taking into account the mobility of sensor nodes in WSNs consisted of both static and mobile nodes. The simulation results indicate that the proposed routing model's Objective Function (OF) gives better performance in comparison to the default OFs in terms of duty cycle, energy consumption and total control overhead, while having a small degradation in the packet delivery ratio.","PeriodicalId":311896,"journal":{"name":"2018 IEEE Conference on Standards for Communications and Networking (CSCN)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129231708","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: 7

An Efficient and Lightweight Load Forecasting for Proactive Scaling in 5G Mobile Networks 面向5G移动网络主动扩展的高效轻量级负载预测

2018 IEEE Conference on Standards for Communications and Networking (CSCN) Pub Date : 2018-10-01 DOI: 10.1109/CSCN.2018.8581800

Imad Alawe, Y. H. Aoul, A. Ksentini, P. Bertin, C. Viho, D. Darche

{"title":"An Efficient and Lightweight Load Forecasting for Proactive Scaling in 5G Mobile Networks","authors":"Imad Alawe, Y. H. Aoul, A. Ksentini, P. Bertin, C. Viho, D. Darche","doi":"10.1109/CSCN.2018.8581800","DOIUrl":"https://doi.org/10.1109/CSCN.2018.8581800","url":null,"abstract":"The number of connected devices is increasing with the emergence of new services and trends. This phenomenon is leading to a traffic growth over both the control and the data planes of the mobile core network. It is expected that the traffic will increase more and more with the installation of the new generation of mobile networking (5G) as it offers more services that are intended to be connected over the same network, in addition to the legacy ones. Therefore, the 3GPP group has rethought the architecture of the New Generation Core (NGC) by defining its components as Virtualized Network Functions (VNF). However, scalability techniques should be envisioned in order to answer the needs, in term of resource provisioning, without degrading the Quality Of Service (QoS) already offered by hardware based core networks. Neural networks, and in particular deep learning, having shown their effectiveness in predicting time series, could be good candidates for predicting traffic evolution. In this paper, we propose a novel solution to generalize neural networks while accelerating the learning process by using $K$-means clustering, and a Monte-Carlo method. We benchmarked multiple types of deep neural networks using real operator's data in order to compare their efficiency in forecasting the upcoming network load for dynamic and proactive resources' provisioning. The proposed solution allows obtaining very good predictions of the traffic evolution while reducing by 50% the time needed for the learning phase.","PeriodicalId":311896,"journal":{"name":"2018 IEEE Conference on Standards for Communications and Networking (CSCN)","volume":"187 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115182452","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: 14

Predicting Vehicles' Positions Using Roadside Units: A Machine-Learning Approach 使用路边单元预测车辆位置:一种机器学习方法

2018 IEEE Conference on Standards for Communications and Networking (CSCN) Pub Date : 2018-10-01 DOI: 10.1109/CSCN.2018.8581850

Mamoudou Sangare, S. Banerjee, P. Mühlethaler, S. Bouzefrane

{"title":"Predicting Vehicles' Positions Using Roadside Units: A Machine-Learning Approach","authors":"Mamoudou Sangare, S. Banerjee, P. Mühlethaler, S. Bouzefrane","doi":"10.1109/CSCN.2018.8581850","DOIUrl":"https://doi.org/10.1109/CSCN.2018.8581850","url":null,"abstract":"In this paper, we study positioning systems using Vehicular Ad Hoc Networks (VANETs) to predict the position of vehicles. We use the reception power of the packets received by the Road Side Units (RSUs) and sent by the vehicles on the roads. In fact, the reception power is strongly influenced by the distance between a vehicle and a RSU. To predict the position of vehicles in this context, we adopt the machine-learning methodology. As a pre-requisite, the vehicles know their positions and the vehicles send their positions in the packets. The positioning system can thus perform a training sequence and build a model. The system is then able to handle a prediction request. In this request, a vehicle without external positioning will request its position from the neighboring RSUs. The RSUs which receive this request message from the vehicle will know the power at which the message was received and will study the positioning request using the training set. In this study, we use and compare three widely recognized techniques: K Nearest Neighbors (KNN), Support Vector Machine (SVM) and Random Forest. We study these techniques in various configurations and discuss their respective advantages and drawbacks. Our results show that these three techniques provide very good results in terms of position predictions when the error on the transmission power is small.","PeriodicalId":311896,"journal":{"name":"2018 IEEE Conference on Standards for Communications and Networking (CSCN)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114386378","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

Impact of Measurement Points Distribution on the Parameters of UWB Implant Channel Model 测点分布对UWB植入通道模型参数的影响

2018 IEEE Conference on Standards for Communications and Networking (CSCN) Pub Date : 2018-10-01 DOI: 10.1109/CSCN.2018.8581808

Sofia Pérez-Simbor, K. Krhac, C. García-Pardo, Kamran Sayrafiarr, D. Simunic, N. Cardona

{"title":"Impact of Measurement Points Distribution on the Parameters of UWB Implant Channel Model","authors":"Sofia Pérez-Simbor, K. Krhac, C. García-Pardo, Kamran Sayrafiarr, D. Simunic, N. Cardona","doi":"10.1109/CSCN.2018.8581808","DOIUrl":"https://doi.org/10.1109/CSCN.2018.8581808","url":null,"abstract":"Sophisticated medical implants that allow vital information delivery to/from the human body are opening the door to novel approaches in diagnosis and/or therapy of various health related issues. Ultra-Wide Band (UWB) technology is gaining the attention of researchers as a possible candidate for implant communication due to its high data rate and low power consumption capabilities. Characterization of a propagation channel often involves a measurement campaign (either virtual or physical) and selecting a set of candidate test points (i.e. sample measurement points) through which numerical values of the desired signal at the receiver are collected. Statistical analysis of those data will lead to a channel model representing the communication link. Focusing on UWB implant channel characterization, this paper aims to highlight the potential impact of the measurement points location distribution on the extracted parameters of the channel model. This is achieved through emulating a custom-design multi-layer liquid phantom measurement system and performing a sequence of matching simulations with different sample point distributions. The results are meant to serve as a guideline for future UWB implant measurement campaigns.","PeriodicalId":311896,"journal":{"name":"2018 IEEE Conference on Standards for Communications and Networking (CSCN)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125767310","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

Edge Nodes Infrastructure Placement Parameters for 5G Networks 5G网络边缘节点基础设施布局参数

2018 IEEE Conference on Standards for Communications and Networking (CSCN) Pub Date : 2018-10-01 DOI: 10.1109/CSCN.2018.8581749

Alejandro Santoyo-González, C. Cervelló-Pastor

引用次数: 14

The Road to 5G V2X: Ultra-High Reliable Communications 5G V2X之路:超高可靠通信

2018 IEEE Conference on Standards for Communications and Networking (CSCN) Pub Date : 2018-10-01 DOI: 10.1109/CSCN.2018.8581819

S. S. Husain, A. Kunz, A. Prasad, E. Pateromichelakis, Konstantinos Samdanis, Jaeseung Song

引用次数: 18

Lightweight Virtualization Based Security Framework for Network Edge 基于轻量级虚拟化的网络边缘安全框架

2018 IEEE Conference on Standards for Communications and Networking (CSCN) Pub Date : 2018-10-01 DOI: 10.1109/CSCN.2018.8581721

Abderrahmane Boudi, I. Farris, Miloud Bagaa, T. Taleb

{"title":"Lightweight Virtualization Based Security Framework for Network Edge","authors":"Abderrahmane Boudi, I. Farris, Miloud Bagaa, T. Taleb","doi":"10.1109/CSCN.2018.8581721","DOIUrl":"https://doi.org/10.1109/CSCN.2018.8581721","url":null,"abstract":"The interest towards cybersecurity is fast growing over the last years. Accounting for the tremendous increase of security threats, the need for new defense strategies is acquiring an even growing importance. The widespread adoption of Internet of Things (IoT) devices, ranging from smart industrial appliances to simple domestic sensors, will increase the complexity of managing security requirements in a comprehensive way. The provisioning of on-demand security services according to the SECurity-as-a-Service model is gaining notable attention. Nevertheless, the hosting of security functions in remote data-centers will inevitably introduce long routing detours, thus high latency and traffic overhead. To cope with this, edge computing will prove to be useful to process data locally. But the reduced capabilities of edge nodes can negatively impact the overall performance of SECaaS solutions. This paper focuses on the provisioning of virtualized security functions via lightweight virtualization (i.e., container) technologies running in a resource-constrained environment. Our analysis focuses primarily on the feasibility and the performance evaluation of such scenario.","PeriodicalId":311896,"journal":{"name":"2018 IEEE Conference on Standards for Communications and Networking (CSCN)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133713737","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: 7

Distributed Artificial Intelligence Enabled by oneM2M and Fog Networking 通过oneM2M和雾网络实现分布式人工智能

2018 IEEE Conference on Standards for Communications and Networking (CSCN) Pub Date : 2018-10-01 DOI: 10.1109/CSCN.2018.8581775

Kun LunCai, F. Lin

引用次数: 3