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2015 Eighth International Conference on Mobile Computing and Ubiquitous Networking (ICMU)最新文献

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Performance evaluation of WMN routing methods considering amount of control packets 考虑控制包数量的WMN路由方法性能评价
Shizuya Irimoto, Yuta Maruoka, Kazunori Ueda
In recent years, Wireless Mesh Networks (WMN) technology has been developed and widely known. WMN has advantages about provisioning cost and stability of networks. However, it is necessary to send and receive a lot of control packets in order to establish routes among access points. We have proposed MBCR to reduce control packets. Furthermore, we propose MBCR-ATLM that adopts the Airtime as metric to ensure compatibility or examine the influence of the difference metric. In this paper, these two MBCR are compared with HWMP, which is standardized as routing method of WMN, from simulation results.
近年来,无线网状网络(Wireless Mesh Networks, WMN)技术得到了发展并得到了广泛的应用。WMN在提供成本和网络稳定性方面具有优势。但是,为了在接入点之间建立路由,需要发送和接收大量的控制报文。我们提出了MBCR来减少控制数据包。此外,我们提出MBCR-ATLM采用通话时间作为度量,以确保兼容性或检查差异度量的影响。本文从仿真结果上将这两种MBCR与WMN中标准化的路由方法HWMP进行了比较。
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引用次数: 0
A real-time fall detection system using a wearable gait analysis sensor and a Support Vector Machine (SVM) classifier 基于可穿戴步态分析传感器和支持向量机分类器的实时跌倒检测系统
N. Shibuya, B. T. Nukala, Amanda Rodriguez, J. Tsay, Tam Q. Nguyen, S. Zupancic, D. Lie
In this study, we report a custom designed wireless gait analysis sensor (WGAS) system for real-time fall detection using a Support Vector Machine (SVM) classifier. Our WGAS includes a tri-axial accelerometer, 2 gyroscopes and a MSP430 micro-controller. It was worn by the subjects at either the T4 or at the waist level for various intentional falls, Activities of Daily Living (ADL) and the Dynamic Gait Index (DGI) test. The raw data of tri-axial acceleration and angular velocity is wirelessly transmitted from the WGAS to a nearby PC, and then 6 features were extracted for fall classification using a SVM (Support Vector Machine) classifier. We achieved 98.8% and 98.7% fall classification accuracies from the data at the T4 and belt positions, respectively. Moreover, the preliminary data demonstrates an impressive overall specificity of 99.5% and an overall sensitivity of 97.0% for this WGAS real-time fall detection system.
在这项研究中,我们报告了一个定制的无线步态分析传感器(WGAS)系统,该系统使用支持向量机(SVM)分类器进行实时跌倒检测。我们的WGAS包括一个三轴加速度计,2个陀螺仪和一个MSP430微控制器。受试者在T4或腰部佩戴,进行各种故意跌倒、日常生活活动(ADL)和动态步态指数(DGI)测试。三轴加速度和角速度的原始数据从WGAS无线传输到附近的PC机,然后提取6个特征,使用SVM(支持向量机)分类器进行跌倒分类。我们从T4和带位置的数据中分别获得了98.8%和98.7%的跌落分类准确率。此外,初步数据显示,该WGAS实时跌倒检测系统的总体特异性为99.5%,总体灵敏度为97.0%。
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引用次数: 68
Spread spectrum/binary countdown scheme with GMPSC for multi-hop wireless network 基于GMPSC的多跳无线网络扩频/二进制倒计时方案
Takuya Eto, H. Habuchi, K. Hashiura
The binary countdown scheme has been investigated as the MAC protocol in the multi-hop network. However, since the conventional binary countdown scheme has the hidden terminal problem, the packet success rate and the throughput are low. In this paper, in order to solve these problems, a novel binary countdown scheme which combines the relaying system with the spread spectrum communication system is proposed. Generalized Modified Prime Sequence Code(GMPSC) is used as pseudo noise(PN) code. The packet success rate and the throughput of the packet transmission is evaluated by the theoretical analysis. Moreover, the proposed scheme is compared with the conventional binary countdown scheme. As a result, it is found that the proposed scheme achieves higher packet success rate than the conventional binary countdown scheme. Moreover, the performance degradation from the ideal packet success rate which is a case when there is no hidden terminal problem becomes small.
研究了二进制倒计时方案作为多跳网络中的MAC协议。然而,由于传统的二进制倒计时方案存在终端隐藏问题,数据包成功率和吞吐量较低。为了解决这些问题,本文提出了一种将中继系统与扩频通信系统相结合的二进制倒计时方案。采用广义修正素数序列码(GMPSC)作为伪噪声码。通过理论分析对分组成功率和分组传输吞吐量进行了评价。并将该方案与传统二进制倒计时方案进行了比较。实验结果表明,该方案比传统的二进制倒计时方案具有更高的分组成功率。而且,在不存在终端隐藏问题的情况下,相对于理想数据包成功率的性能下降很小。
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引用次数: 1
A self-diagnosis method for spectrum sensing algorithm in cognitive radio networks 认知无线电网络中频谱感知算法的自诊断方法
Jen-Feng Huang, Guey-Yun Chang, S. Huang, Jyun-Fong Wang
Spectrum sensing is an important issue in cognitive radio networks (CRNs). In the most techniques, the spectrum sensing is performed on secondary users (SUs) in a CRN. For reducing the loading of the SUs, the wireless spectrum sensor networks (WSSNs) [1] have been proposed. In WSSN, sensors should provide the primary user (PU)'s interference range and states (active or inactive) to secondary users (SUs). However, due to the hardware defect and PU signal fading, sensors' reports may be incorrect. In this paper, we propose sensor self-diagnosis algorithms that can help sensors to check the correctness of interference range of the PU. According to the simulation results, our algorithms have lower sensing error rate than prior work.
频谱感知是认知无线电网络中的一个重要问题。在大多数技术中,频谱感知是在CRN中的辅助用户(su)上进行的。为了减少单元的负载,人们提出了无线频谱传感器网络(wireless spectrum sensor network, wssn)[1]。在wsn中,传感器应该将主用户(PU)的干扰范围和状态(活动或不活动)提供给辅助用户(su)。但是,由于硬件缺陷和PU信号衰落,传感器的报告可能不正确。在本文中,我们提出了传感器自诊断算法,可以帮助传感器检查PU干扰范围的正确性。仿真结果表明,该算法具有较低的感知错误率。
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引用次数: 0
Indoor user navigation for enhanced quality of experience in wireless local area networks 增强无线局域网体验质量的室内用户导航
TeSheng Tsai, Sheng-Min Chiou, Y. Yang, Shih-Hau Fang, Chiapin Wang, Wen-Hsing Kuo
Quality of Experience (QoE) means how a user perceives the usability of a service when in use (i.e., how satisfied he or she is with a service). This paper proposes a navigation-based approach to facilitating improved QoE of wireless local area networks. By exploiting the spatial information and the pre-measured QoE, the proposed method navigates the user to a suitable location having good experience of the network/services. Performance was evaluated in realistic wireless local area networks, in which QoE is measured as packet successful rate. The results demonstrate that the proposed system successfully navigates users to enjoy sufficient QoE of multimedia applications.
体验质量(QoE)是指用户在使用服务时如何感知服务的可用性(即,他或她对服务的满意程度)。本文提出了一种基于导航的无线局域网QoE改进方法。该方法利用空间信息和预先测量的QoE,将用户导航到具有良好网络/服务体验的合适位置。在实际的无线局域网中对性能进行了评估,其中QoE以分组成功率来衡量。结果表明,该系统成功地引导用户享受到足够的多媒体应用QoE。
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引用次数: 1
Improving the spatial reuse of IEEE 802.11 WLAN by adaptive carrier sense threshold of access points based on node positions 基于节点位置的接入点自适应载波感知阈值提高IEEE 802.11无线局域网的空间复用
Kodai Murakami, Tatsuya Ito, S. Ishihara
The IEEE 802.11 Distributed Coordination Function (DCF) is based on the Carrier Sense Multiple Access (CSMA) algorithm for avoiding collisions of frames. In CSMA, spatial reuse can be improved by suitably changing the carrier sense threshold (CST). If the increased CST does not incur collisions and helps concurrent transmissions from multiple devices, this improves the throughput of the wireless LAN. For example, when there are two APs and multiple devices exist near each of them, each AP can transmit a frame simultaneously without causing collisions of frames since each device can receive a frame from its associated AP with a high signal power and the interference from another AP is small. In this paper, we propose a system which improves the throughput in CSMA/CA based wireless LANs by controlling the CST values of APs according to positions of mobile hosts. In the system, the CST values of multiple APs are dynamically configured by a controller which has a camera for obtaining the current positions of mobile hosts. The proposed system improves the throughput in WLAN 58% in comparison with basic DCF in a LAN where two APs are arranged at an interval of 50 m and two devices exist within 10 m from each AP.
IEEE 802.11分布式协调功能(DCF)是基于CSMA (Carrier Sense Multiple Access)算法来避免帧的冲突。在CSMA中,可以通过适当改变载波感知阈值(CST)来提高空间复用性。如果增加的CST不会引起冲突,并有助于从多个设备并发传输,这将提高无线局域网的吞吐量。例如,当有两个AP并且每个AP附近存在多个设备时,每个AP可以同时发送一帧而不会产生帧冲突,因为每个设备都可以以高信号功率从其关联的AP接收帧,并且来自另一个AP的干扰很小。在本文中,我们提出了一种基于CSMA/CA的无线局域网系统,通过根据移动主机的位置控制ap的CST值来提高吞吐量。在该系统中,多个ap的CST值由带有摄像机的控制器动态配置,用于获取移动主机的当前位置。在局域网中,两个AP以50 m的间隔布置,两个设备在距离每个AP 10 m内,与基本DCF相比,该系统将WLAN的吞吐量提高了58%。
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引用次数: 10
Indoor positioning method integrating pedestrian Dead Reckoning with magnetic field and WiFi fingerprints 将行人航位推算与磁场、WiFi指纹相结合的室内定位方法
Ryoji Ban, K. Kaji, Kei Hiroi, Nobuo Kawaguchi
In this paper, we propose a high accuracy indoor positioning method that uses residual magnetism in addition to Pedestrian Dead Reckoning (PDR) and WiFi-based localization methods. Our proposed method needs WiFi and magnetic field fingerprints, which are created by measuring in advance the WiFi radio waves and the magnetic field in the target map. The fingerprints are represented by a Gaussian Mixture Models (GMMs) to reduce the amount of computation. Our proposed method estimates positions by comparing the pedestrian sensor and fingerprint values by particle filters. We evaluated this method in real environments and confirmed that it provides accurate indoor positioning with a mean error less than 8 m and more accurate position detection than existing techniques.
在本文中,我们提出了一种基于行人航位推算(PDR)和基于wifi的定位方法的高精度室内定位方法。我们提出的方法需要WiFi和磁场指纹,这些指纹是通过事先测量目标地图中的WiFi无线电波和磁场而产生的。为了减少计算量,指纹用高斯混合模型(GMMs)表示。我们提出的方法通过粒子滤波比较行人传感器和指纹值来估计位置。我们在实际环境中对该方法进行了评估,并证实该方法提供了准确的室内定位,平均误差小于8 m,并且比现有技术更精确的位置检测。
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引用次数: 72
A robot control system for video streaming services by using dynamic encoded QR codes 一种利用动态编码QR码实现视频流服务的机器人控制系统
Masaki Ogawa, Takuro Yonezawa, Yuuki Nishiyama, J. Nakazawa, H. Tokuda
We propose a novel robot control system by transmitting robot control information on existing video streaming services as dynamic encoded two-dimentional visual code. We implemented sensor data transmitting system by using dynamic encoded two-dimentional visual code which called SENSe-TREAM [1] and we built the robot controlling system by using SENSeTREAM architecture. This paper shows the architecture of robot controlling system and future vision of telepresence and human-robot interaction.
我们提出了一种新的机器人控制系统,该系统将现有视频流服务上的机器人控制信息作为动态编码的二维视觉码传输。我们采用动态编码的二维视觉编码SENSe-TREAM[1]实现了传感器数据传输系统,并采用SENSeTREAM架构构建了机器人控制系统。本文介绍了机器人控制系统的体系结构,以及远程呈现和人机交互的未来愿景。
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引用次数: 2
Web-based integrated visualization service for monitoring urban public spaces 基于web的城市公共空间综合可视化监控服务
A. Sashima, Ikushi Yoda, M. Kawamoto, K. Kurumatani
In this paper, we describe a web-based service that visualizes sensing data in an urban public space. The sensing data obtained from multiple sensor devices are visualized with three-dimensional graphical models of physical objects (e.g., buildings) in the space to provide a single integrated view of the sensing status in a web browser window. The view is continuously updated based on the latest sensing data so as to show the current status in the space. As the view is rendered by the application that runs within a web browser, the status can be seen from different points of view interactively. We present a service that visualizes human activities, such as pedestrian flows and environmental sounds, based on sensor devices installed in a public space at a shopping center in Tokyo.
在本文中,我们描述了一种基于网络的服务,用于可视化城市公共空间中的传感数据。从多个传感器设备获得的传感数据通过空间中物理对象(例如建筑物)的三维图形模型进行可视化,从而在web浏览器窗口中提供感知状态的单一集成视图。该视图根据最新的传感数据不断更新,以显示空间中的当前状态。由于视图是由在web浏览器中运行的应用程序呈现的,因此可以从不同的角度交互式地查看状态。我们提出了一项基于安装在东京购物中心公共空间的传感器设备的可视化人类活动的服务,例如行人流量和环境声音。
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引用次数: 0
DTN MapEx: Disaster area mapping through distributed computing over a Delay Tolerant Network DTN MapEx:在容延迟网络上通过分布式计算实现的灾区映射
E. M. Trono, Yutaka Arakawa, M. Tamai, K. Yasumoto
Disaster area map generation and sharing are critical to disaster response operations. In post-disaster contexts however, cloud-based mapping services and data may be unavailable because of network challenges. Disruption Tolerant Network (DTN) architectures have been proposed for data sharing in challenged networks. However, map generation may be too complex for individual DTN nodes given their limited computing resources. To generate and share maps of disaster areas, we present DTN MapEx, a distributed computing system for mapping that operates over a DTN. DTN MapEx distributes disaster map data and map generation tasks to multiple nodes to minimize individual computational loads. In the system, responders and volunteers act as mobile sensing nodes. They log the GPS traces of their traversed paths and collect disaster area map data such as the coordinates, images, and assessments of points-of-interest. The mobile nodes then route their collected data and a task request through the DTN to pre-deployed, fixed Computing Nodes. The Computing Nodes aggregate the data to generate a map and opportunistically route it back to the network. To reduce complexity, mapping tasks and data are divided amongst Computing Nodes based on their current computational load. Computing Nodes periodically update the DTN about their current loads. Mobile nodes use these updates in deciding where to allocate their task requests and data. In this paper, we present the design of DTN MapEx and perform initial evaluations on its feasibility in disaster scenarios.
灾区地图的生成和共享对灾害应对行动至关重要。然而,在灾后环境中,由于网络挑战,基于云的地图服务和数据可能不可用。为了在挑战网络中实现数据共享,提出了容中断网络(DTN)架构。然而,考虑到单个DTN节点有限的计算资源,地图生成可能过于复杂。为了生成和共享灾区地图,我们提出了DTN MapEx,这是一个在DTN上运行的分布式计算系统。DTN MapEx将灾难地图数据和地图生成任务分配到多个节点,以最大限度地减少单个计算负载。在系统中,响应者和志愿者充当移动传感节点。他们记录他们走过的路径的GPS轨迹,并收集灾区地图数据,如坐标、图像和兴趣点的评估。然后,移动节点通过DTN将收集到的数据和任务请求路由到预部署的固定计算节点。计算节点聚合数据以生成地图,并偶然地将其路由回网络。为了降低复杂性,映射任务和数据根据当前计算负载在计算节点之间进行划分。计算节点定时更新DTN当前负载信息。移动节点使用这些更新来决定在哪里分配任务请求和数据。在本文中,我们提出了DTN MapEx的设计,并对其在灾害场景中的可行性进行了初步评估。
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引用次数: 34
期刊
2015 Eighth International Conference on Mobile Computing and Ubiquitous Networking (ICMU)
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