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2019 15th International Wireless Communications & Mobile Computing Conference (IWCMC)最新文献

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Accurate Blind Synchronization for Free Space Optical Communication System Using 2-PPM Modulation 基于2ppm调制的自由空间光通信系统精确盲同步
M. Maalej, Hichem Besbes
In this paper, we propose an accurate technique of synchronization based on blind algorithm for free space optical (FSO) system using binary pulse position modulation (2-PPM). FSO channel is impaired with atmospheric turbulence and pointing errors. Previous works on PPM modulation technique proposed a synchronization algorithm called Timing with Dirty Templates (TDT), which is based on correlations between symbol information. Since this technique is blind-based, it suffers from lack of accuracy in timing detection. Therefore, we proposed an enhanced algorithm which allows more accurate detection and causes lower rates in bit error as well as in mean square error. Our simulation results are valid in different levels of atmospheric turbulences and pointing errors.
本文提出了一种基于盲算法的自由空间光学(FSO)系统精确同步技术,该系统采用二进制脉冲位置调制(2ppm)。大气湍流和指向误差会对FSO信道造成损害。在PPM调制技术方面,前人提出了一种基于符号信息相关性的同步算法,称为Dirty Templates Timing (TDT)。由于该技术是基于盲的,因此在时间检测方面存在精度不足的问题。因此,我们提出了一种增强的算法,它可以更准确地检测并降低误码率和均方误差。我们的模拟结果在不同程度的大气湍流和指向误差下是有效的。
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引用次数: 0
Video Streaming in Vehicular Ad Hoc Networks: Applications, Challenges and techniques 车载自组织网络中的视频流:应用、挑战和技术
Nadia Zribi, B. Alaya, T. Moulahi
Nowadays Vehicular Ad hoc Networks (VANETs) receive important attention in the scientific and commercial fields due to the increasing number of devices and applications concentrating on safety, efficiency and infotainment in transportation infrastructure. One of the most promising applications is the streaming of video data which presents a suitable tool especially for warning drivers and preventing dangers on roads. However, video streaming over vehicular environment is a daunting task due to high movement of vehicles and the specific requirements of video data in terms of performances and quality of service (QoS)/ quality of experience (QoE). To this end, this paper presents a survey of video streaming techniques in vehicular networks and discusses the different QoS/QoE related to video streaming issues. A comparative study of QoS/ QoE aware video streaming schemes classified according to the technique used is elaborated. Furthermore, major challenges in video streaming are identified as future trends of research.
如今,由于越来越多的设备和应用集中在交通基础设施的安全、效率和信息娱乐方面,车辆自组织网络(VANETs)在科学和商业领域受到了重要的关注。其中一个最有前途的应用是视频数据流,它提供了一个合适的工具,特别是警告司机和预防道路上的危险。然而,由于车辆的高度移动以及视频数据在性能和服务质量(QoS)/体验质量(QoE)方面的特定要求,车辆环境下的视频流传输是一项艰巨的任务。为此,本文概述了车载网络中的视频流技术,并讨论了与视频流相关的不同QoS/QoE问题。对QoS/ QoE感知视频流方案进行了比较研究,并根据所使用的技术进行了分类。此外,视频流的主要挑战被确定为未来的研究趋势。
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引用次数: 10
Multi-Resource Management for Multi-Tier Space Information Networks: A Cooperative Game 多层空间信息网络的多资源管理:一种合作博弈
Xinru Mi, Chungang Yang, Zheng Chang
With the drastic increase of space information network (SIN) traffic and the diversity of network traffic types, the optimal allocation of the scarce network resources is of great significance for optimizing the SIN system capability. In this paper, we propose a multi-resource management method for multi-tier SIN using the cooperative Nash bargaining solution. Since the original problem is a non-convex problem, we firstly make logarithmic transition, and then find a tightest lower bound function to convert the initial problem into a convex one. In order to carry out the optimal bandwidth and power allocation in SIN, we construct a joint bandwidth and power allocation (JBPA) algorithm. Simulation results show the performance improvement of the JBPA scheme and the convergence of JBPA algorithm.
随着空间信息网络(SIN)流量的急剧增加和网络流量类型的多样化,稀缺网络资源的优化配置对于优化空间信息网络系统的性能具有重要意义。在本文中,我们提出了一种基于合作纳什议价的多层自适应系统的多资源管理方法。由于原问题是一个非凸问题,我们首先进行对数跃迁,然后找到一个最紧的下界函数将原问题转化为凸问题。为了在sins中实现最优的带宽和功率分配,我们构造了一种联合带宽和功率分配(JBPA)算法。仿真结果表明了JBPA方案的性能改进和JBPA算法的收敛性。
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引用次数: 2
A game theoretical based rebroadcasting protocol for content dissemination in VANETs 基于博弈论的VANETs内容传播转播协议
A. Naja, M. Boulmalf, M. Essaaidi
Vehicular Ad-hoc Networks (VANETs) are a category of Mobile Ad-hoc Networks (MANETs) characterized by frequent topology changes. VANETs have many promising applications such as improving vehicle drivers’ safety, and decreasing accidents. Vehicles communicate via Vehicle to Vehicle (V2V) and Vehicle to Roadside (V2R) mainly by broadcast, which needs to be efficient, especially in congested areas. An effective rebroadcasting protocol has to be designed carefully in order to maximize reachability while minimizing delay and the number of rebroadcasts. However, prior work typically minimizes either congestion or latency at the expense of reachability and the number of rebroadcasts. In this paper, we present the Nash Equilibrium Scheme (NES), a rebroadcast algorithm that outperforms prior work on reachability, number of rebroadcasts and delay, especially in congested areas. NES attains these goals by considering key environmental factors such as a number of received messages and distance to the event. We evaluate NES’s performances through NS2 simulations.
车载自组网(vanet)是移动自组网(manet)的一种,其特点是拓扑结构变化频繁。vanet有许多有前途的应用,如提高车辆驾驶员的安全性,减少事故。车辆主要通过广播方式进行车对车(V2V)和车对路边(V2R)通信,这需要提高效率,特别是在拥堵地区。必须仔细设计有效的转播协议,以便在最大限度地提高可达性的同时尽量减少延迟和转播次数。然而,先前的工作通常会以牺牲可达性和重播次数为代价,将拥塞或延迟降至最低。在本文中,我们提出了纳什均衡方案(NES),这是一种重播算法,在可达性,重播次数和延迟方面优于先前的工作,特别是在拥塞区域。NES通过考虑关键的环境因素(如接收到的消息数量和到事件的距离)来实现这些目标。我们通过NS2模拟来评估NES的性能。
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引用次数: 4
A New Dijkstra Front-Back Algorithm for Data Routing-Scheduling via Efficient-Energy Area Coverage in wireless Sensor Network 基于高效能区域覆盖的无线传感器网络数据路由调度新Dijkstra前后算法
Adda Boualem, Marwane Ayaida, Y. Dahmani, Cyril de Runz, A. Maatoug
Sensor nodes suffer from a lot of constraints, such as the limited energy source, the short radius of communication, the low processing and storage power. These fuzzy constraints deplete the energy of the implemented sensor network, especially, in coverage and routing data in the large-scale zones. The main constraint in WSNs is the energy. To outcome this constraint, we have proposed a Data Routing-Scheduling via Efficient-Energy Area Coverage in wireless Sensor Network protocol (EE_AC_DR) based on our proposed Dijkstra Front-Back algorithm. In fact, our protocol uses Dijkstra algorithm with steps to pass the nodes in the superior Cluster, or return it to the lower Cluster to choose the designed node as Cluster-Heads for playing a multiple role; a role of Cluster-Head, a role of coverage in the entire cluster and a role of communication routing the information in the best and shortest path towards the base station. This protocol is divided into the following five (5) steps: 1) the construction of the Clusters; 2) the choice of the Clusters-Heads; 3) the choice of the best neighbors; 4) the construction of Head-Clusters-Head, and 5) the choice of best Cluster-Head neighbors. We demonstrate, using some large scale simulations, that this protocol enhances the performances of the network and allows taking the best choices regarding the use of only one node in each cluster to monitor and communicate data using the shortest path with minimal cost.
传感器节点受到能源有限、通信半径短、处理和存储能力低等诸多限制。这些模糊约束消耗了所实现传感器网络的能量,特别是在大范围区域的覆盖和路由数据方面。无线传感器网络的主要制约因素是能量。为了解决这一限制,我们提出了一种基于Dijkstra前后算法的无线传感器网络协议(EE_AC_DR)中有效能量区域覆盖的数据路由调度。实际上,我们的协议使用Dijkstra算法,通过分步传递上级集群中的节点,或者返回下级集群,选择设计的节点作为簇头,扮演多个角色;一个是簇头的角色,一个是整个簇的覆盖角色,一个是以最佳和最短的路径向基站发送信息的通信角色。该协议分为以下五(5)个步骤:1)构建集群;2)簇头的选择;3)最佳邻居的选择;4) Head-Clusters-Head的构建,5)最佳Cluster-Head邻居的选择。我们使用一些大规模的模拟来证明,该协议增强了网络的性能,并允许在每个集群中仅使用一个节点的情况下采取最佳选择,以最小的成本使用最短路径来监视和通信数据。
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引用次数: 4
Weighted Feature Fusion Based Emotional Recognition for Variable-length Speech using DNN 基于加权特征融合的变长语音深度神经网络情感识别
Sifan Wu, Fei Li, Pengyuan Zhang
Emotion recognition plays an increasingly important role in human-computer interaction systems, which is a key technology in multimedia communication. Because neural networks can automatically learn the intermediate representation of raw speech signal, currently, most methods use Convolutional Neural Network (CNN) to extract information directly from spectrograms, but this may result in the ineffective use of information in hand-crafted features. In this work, a model based on weighted feature fusion method is proposed for emotion recognition of variable-length speech. Since the Chroma-based features are closely related to speech emotions, our model can effectively utilize the useful information in Chromaticity map to improve the performance by combining CNN-based features and Chroma-based features. We evaluated the model on the Interactive Emotional Motion Capture (IEMOCAP) dataset and achieved more than 5% increase in weighted accuracy (WA) and unweighted accuracy (UA), comparing with the existing state-of-the-art methods.
情感识别作为多媒体通信中的一项关键技术,在人机交互系统中发挥着越来越重要的作用。由于神经网络可以自动学习原始语音信号的中间表示,目前大多数方法使用卷积神经网络(CNN)直接从频谱图中提取信息,但这可能导致手工制作的特征信息的无效利用。本文提出了一种基于加权特征融合的变长语音情感识别模型。由于基于chroma的特征与语音情绪密切相关,我们的模型可以通过将基于cnn的特征与基于chroma的特征相结合,有效地利用Chromaticity map中的有用信息来提高性能。我们在交互式情绪动作捕捉(IEMOCAP)数据集上评估了该模型,与现有的最先进方法相比,加权精度(WA)和非加权精度(UA)提高了5%以上。
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引用次数: 5
A Dendritic Cell Algorithm Based Approach for Malicious TCP Port Scanning Detection 基于树突状细胞算法的恶意TCP端口扫描检测方法
Nuha Almasalmeh, Firas Saidi, Z. Trabelsi
The proliferation of cyber-attacks brings up an urgent need to develop sophisticated detection tools. Some of these tools are based on algorithms inspired from the Human Immune System (HIS). The Dendritic Cell Algorithm (DCA) is one of such HIS inspired methods, which is based on the Danger model. In the current study, two kinds of DCA algorithms (deterministic and classical DCA) are analyzed in order to detect DoS attacks. Moreover, this paper discusses the enhancement of the DCA algorithm to cover the detection of malicious TCP port scanning. By using different use-cases, the evaluation and results are accumulated to show the efficiency of the DCA algorithm used in the Port scanning detection.
网络攻击的扩散带来了开发复杂检测工具的迫切需要。其中一些工具基于受人类免疫系统(HIS)启发的算法。树突状细胞算法(Dendritic Cell Algorithm, DCA)就是一种基于Danger模型的基于HIS的算法。为了检测DoS攻击,本研究分析了两种DCA算法(确定性DCA和经典DCA)。此外,本文还讨论了对DCA算法的改进,以涵盖恶意TCP端口扫描的检测。通过使用不同的用例,累积评价和结果,证明了DCA算法在端口扫描检测中的有效性。
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引用次数: 2
An IoT and Blockchain-Based Multi-Sensory In-Home Quality of Life Framework for Cancer Patients 基于物联网和区块链的癌症患者多感官家庭生活质量框架
Mohamed Abdur Rahman, Md Mamunur Rashid, S. Barnes, M. S. Hossain, Elham Hassanain, M. Guizani
Once a subject is diagnosed with cancer, a patient goes through a series of diagnosis and tests, referred to as after cancer treatment. Due to the nature of the treatment and side effects on regular lifestyles, maintaining quality of life in the home environment is a challenging task. Sometimes within a home environment, a cancer patient’s situation changes abruptly, as the functionality of certain organs deteriorate, which affects their quality of life. In this paper, we propose a Blockchain and off-chain based framework which will allow multiple medical and ambient intelligent IoT sensors to capture quality of life information from one’s home environment and securely share it with one’s community of interest. Using our proposed framework, both transactional records and multimedia big data – consisting of a user’s physiological as well as mental states – can be shared with an oncologist or palliative care unit for real-time decision support. We have also developed Blockchain-based data analytics, which will allow a clinician to visualize the immutable history of the patient’s data available from an in-home secure monitoring system for a better understanding of a patient’s current or historical states. We further designed a generic oncologist smart contract and digital wallet for different stakeholders to automate the treatment plan of a particular patient. Finally, we will present our current implementation status, which provides significant encouragement for further development.
一旦被诊断出患有癌症,患者就会经历一系列的诊断和检查,这被称为癌症治疗后。由于治疗的性质和对日常生活方式的副作用,在家庭环境中保持生活质量是一项具有挑战性的任务。有时在家庭环境中,癌症患者的情况会突然改变,因为某些器官的功能会恶化,从而影响他们的生活质量。在本文中,我们提出了一个基于区块链和脱链的框架,该框架将允许多个医疗和环境智能物联网传感器从一个人的家庭环境中捕获生活质量信息,并安全地与感兴趣的社区共享。使用我们提出的框架,交易记录和多媒体大数据——包括用户的生理和精神状态——都可以与肿瘤科医生或姑息治疗单位共享,以提供实时决策支持。我们还开发了基于区块链的数据分析,这将使临床医生能够从家庭安全监控系统中可视化患者数据的不可变历史,以便更好地了解患者的当前或历史状态。我们进一步为不同的利益相关者设计了通用的肿瘤学家智能合约和数字钱包,以自动化特定患者的治疗计划。最后,我们将介绍我们目前的执行情况,这对进一步发展提供了很大的鼓励。
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引用次数: 18
Augmented Perception by V2X Cooperation (PAC-V2X): Security issues and misbehavior detection solutions 通过V2X合作增强感知(PAC-V2X):安全问题和不当行为检测解决方案
Mohamed Hadded, O. Shagdar, Pierre Merdrignac
Cooperative Intelligent Transport System (C-ITS) also known as connected vehicle technology uses wireless technologies to enable real-time communication between vehicles moving along roads, traffic signals, infrastructure and other mobile devices. In order to boost the role of C-ITS in the domain of autonomous driving and smart mobility, the FUI French project PAC V2X (Perception Augmented by V2X Cooperation) proposes to enhance the vehicles perception in safety critical zones via a cooperation between the roadside infrastructure and the vehicles by relying on V2X communication and sensors. Several applications are considered in this project which require fundamentally new solutions for security, that differ from traditional security mechanisms such as PKI, signatures, encryption, etc. Indeed, a certified vehicle in PAC V2X can easily send false location information, alert incorrect event or report a bogus object. Therefore, new and innovative security approaches are needed to detect and report malicious activities, identify the misbehaving vehicles as well as react either by dropping the incorrect information or excluding the misbehaving vehicles from the network. In this paper, we target the PAC V2X use cases, we present attacker models and potential misbehavior detection mechanisms and a classification of these mechanisms.
协同智能交通系统(C-ITS)也被称为车联网技术,它使用无线技术实现道路上行驶的车辆、交通信号、基础设施和其他移动设备之间的实时通信。为了提升C-ITS在自动驾驶和智能出行领域的作用,法国FUI项目PAC V2X(感知增强V2X合作)提出,依靠V2X通信和传感器,通过路边基础设施与车辆之间的合作,增强车辆在安全关键区域的感知。该项目考虑了几个应用程序,这些应用程序需要从根本上提供新的安全解决方案,这些解决方案与传统的安全机制(如PKI、签名、加密等)不同。事实上,PAC V2X认证车辆可以很容易地发送错误的位置信息,警告错误的事件或报告虚假对象。因此,需要新的和创新的安全方法来检测和报告恶意活动,识别行为不端的车辆,并通过删除不正确的信息或从网络中排除行为不端的车辆来做出反应。在本文中,我们针对PAC V2X用例,我们提出了攻击者模型和潜在的不当行为检测机制,并对这些机制进行了分类。
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引用次数: 3
Enhancing Energy Efficiency by Neighbors-Aware Algorithm in Femtocell Networks 利用邻居感知算法提高Femtocell网络的能效
Dorsaf Ghozlani, Seifeddine Bouallegue, A. Omri, A. Busson, R. Bouallègue
Mobile operators around the world have been caught off guard by the popularity of mobile data services and with the massive deployment of macro base stations, and mobile data traffic continues to increase at an exponential speed. This increases overall energy consumption, which translates into a much higher rejection of carbon dioxide into the atmosphere. By the integration of small cells, i.e., femtocells, in the new generation networks, important questions are raised about the energy consumption in heterogeneous networks. In this paper, a new proposed Dynamic transmit power (DTP) based scheme is proposed to decrease the network power consumption. A stochastic geometry model is used to describe the different femtocells position in the network with realistic constraints and to evaluate the performance of our solution. Performance has been studied in terms of energy consumption and energy gains. Simulation results are used to confirm the analytical results and show that the DTP based scheme can reach an energy gain up to 35% compared to the constant transmit power (CTP) based scheme.
随着移动数据服务的普及和宏基站的大规模部署,世界各地的移动运营商都措手不及,移动数据流量继续以指数级速度增长。这增加了整体的能源消耗,转化为更高的二氧化碳排入大气。在新一代网络中,小蜂窝(即飞蜂窝)的集成提出了异构网络中能量消耗的重要问题。为了降低网络功耗,本文提出了一种基于动态传输功率(DTP)的新方案。利用随机几何模型来描述具有现实约束的网络中不同的飞cell位置,并对我们的解决方案的性能进行了评价。从能源消耗和能源收益方面对性能进行了研究。仿真结果验证了分析结果,表明基于DTP的方案比基于恒定发射功率(CTP)的方案能获得高达35%的能量增益。
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引用次数: 0
期刊
2019 15th International Wireless Communications & Mobile Computing Conference (IWCMC)
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