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2018 IEEE 15th International Conference on Mobile Ad Hoc and Sensor Systems (MASS)最新文献

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Low-Cost Mapping of RFID Tags Using Reader-Equipped Smartphones 使用配备阅读器的智能手机进行RFID标签的低成本映射
Yuki Sato, Marius Noreikis, Yu Xiao
This paper proposes a low-cost solution for mapping and locating UHF-band RFID tags in a 3D space using reader-equipped smartphones. Our solution includes a mobile augmented reality application for data collection and information visualization, and a cloud-based application server for calculating locations of the reader-equipped smartphones and the read RFID tags. Our solution applies computer vision and motion sensing techniques to track 3D locations of the RFID reader based on the visual and inertial sensor data collected from the companion smartphones. Meanwhile, it obtains the exact locations of RFID tags by calculating their relative positions from the readers based on the Angle of Arrival (AoA) concept. Our solution can be implemented with any low-cost fixed transmit power RFID readers, since it only requires the readers to report identifiers of read RFID tags. Furthermore, our solution does not require machine-controlled uniform movement of RFID readers, as it can handle the bias in the readings collected from randomly scattered positions. We have evaluated our solution with experiments in real environments using a commercially-off-the-shelf RFID reader and an Android phone. Results show that the average error in the positions of RFID tags is around 25cm for each of orthogonal axes on the floor plane, with the orders of RFID tags correctly detected in most cases.
本文提出了一种低成本的解决方案,用于使用配备阅读器的智能手机在3D空间中绘制和定位uhf频段RFID标签。我们的解决方案包括一个用于数据收集和信息可视化的移动增强现实应用程序,以及一个用于计算配备阅读器的智能手机和读取RFID标签位置的基于云的应用程序服务器。我们的解决方案应用计算机视觉和运动感应技术,根据从配套智能手机收集的视觉和惯性传感器数据来跟踪RFID阅读器的3D位置。同时,基于到达角(Angle of Arrival, AoA)的概念,通过计算标签与阅读器的相对位置,得到RFID标签的准确位置。我们的解决方案可以与任何低成本的固定发射功率RFID阅读器一起实现,因为它只需要阅读器报告读取的RFID标签的标识符。此外,我们的解决方案不需要机器控制RFID读取器的均匀运动,因为它可以处理从随机分散位置收集的读数中的偏差。我们已经通过在真实环境中使用商用RFID阅读器和Android手机的实验来评估我们的解决方案。结果表明,在地板平面上,每个正交轴对RFID标签位置的平均误差在25cm左右,大多数情况下RFID标签的顺序是正确的。
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引用次数: 1
LPDA-EC: A Lightweight Privacy-Preserving Data Aggregation Scheme for Edge Computing lpd - ec:一种轻量级的边缘计算隐私保护数据聚合方案
Jiale Zhang, Yanchao Zhao, Jie Wu, Bing Chen
Edge computing has emerged as the key enabling technology that empowers the IoT with intelligence and efficiency. In this data enriched infrastructure, privacy-preserving data aggregation (PPDA) is one of the most critical services. However, the security and privacy-preserving requirements and online computational cost still present practical concerns in edge computing for resource-constraint edge terminals. To cope with this challenge, we present a lightweight privacy-preserving data aggregation scheme named LPDA-EC for edge computing system by employing the online/offline signature technique, Paillier homomorphic cryptosystem, and double trapdoor Chameleon hash function in this paper. The proposed LPDA-EC scheme can achieve data confidentiality and privacy-preserving, ensuring that the edge server and control center are agnostic of the user's private information during the whole aggregation process. Through detailed analysis, we demonstrate that our scheme is existentially unforgeable under chosen message attack (EU-CMA) and ensures data integrity with formal proofs under q-Strong Diffie-Hellman (q-SDH) assumptions. Numerical results indicate that the LPDA-EC scheme has less computational and communication overheads.
边缘计算已经成为赋予物联网智能和效率的关键使能技术。在这个数据丰富的基础设施中,保护隐私的数据聚合(PPDA)是最关键的服务之一。然而,对于资源受限的边缘终端,安全、隐私保护要求和在线计算成本仍然是边缘计算的现实问题。为了应对这一挑战,本文采用在线/离线签名技术、Paillier同态密码系统和双活板门变色龙哈希函数,提出了一种轻量级的边缘计算系统隐私保护数据聚合方案LPDA-EC。提出的lpd - ec方案可以实现数据的保密性和隐私性,保证边缘服务器和控制中心在整个聚合过程中对用户的隐私信息不可知。通过详细的分析,我们证明了我们的方案在选择消息攻击(EU-CMA)下是存在不可伪造的,并在q-Strong Diffie-Hellman (q-SDH)假设下通过形式化证明保证了数据的完整性。数值结果表明,lda - ec方案具有较小的计算开销和通信开销。
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引用次数: 23
Achieving Stable and Optimal Passenger-Driver Matching in Ride-Sharing System 实现拼车系统中稳定最优的乘客-司机匹配
Yixuan Zhong, Lin Gao, Tong Wang, Shimin Gong, Baitao Zou, Deliang Yu
Ride-sharing systems enable individual car owners with idle time to provide commercial taxi-like services via an online platform. By crowdsourcing a large population of individual car owners, it can provide more flexible services with a lower serving cost, comparing with the traditional taxi system. Due to the autonomous nature of car owners (drivers), a decentralized driver dispatching algorithm that can achieve a stable (self-motivated) and optimal passenger-driver matching is highly desired for a ride-sharing system. In this paper, we will study such a driver dispatching algorithm systematically. We first show that the optimal passenger-driver matching achieved by the centralized driver dispatching algorithm is often not stable, in the sense that some drivers and passengers may break with their matched partners and form new matching pairs. To this end, we introduce a virtual order fee on each passenger (which the platform will charge the drives who want to serve the passenger) to motivate the behaviors of drivers. Specifically, we propose a novel auction-based decentralized driver dispatching algorithm, where each driver proposes the most profitable passenger that he wants to serve, considering the potential profit that he can achieve and the order fee that he needs to pay from/to serving each passenger. The virtual order fee on a passenger will be gradually increased when multiple drivers want to serve the passenger, until there exists only one driver who is willing to serve. We analytically show that such a decentralized driver dispatching algorithm will converge to an equilibrium (stable) outcome, which achieves the optimal passenger-driver matching (i.e., that maximizes the social income of the whole system). Simulation results further show how the converging speed and the achieved social income change with the system parameters such as the step size of order fee increasement. Moreover, it is easy to implement the proposed distributed algorithm in a practical system.
拼车系统使有空闲时间的个人车主可以通过在线平台提供类似商业出租车的服务。与传统的出租车系统相比,通过众包大量的个体车主,它可以以更低的服务成本提供更灵活的服务。由于车主(司机)的自主性,一种能够实现稳定(自我激励)和最优的乘客-司机匹配的分散式司机调度算法是拼车系统迫切需要的。本文将对这种驾驶员调度算法进行系统的研究。首先,集中式调度算法实现的最优乘客-司机匹配往往不稳定,即一些司机和乘客可能会与匹配的伙伴决裂,形成新的匹配对。为此,我们对每位乘客征收虚拟订货费(平台将向想为乘客服务的司机收费),以激励司机的行为。具体来说,我们提出了一种新的基于拍卖的去中心化司机调度算法,每个司机考虑到他可以实现的潜在利润和他为每个乘客服务所需支付的订单费用,提出他想要服务的最有利可图的乘客。当有多个司机想为乘客服务时,乘客的虚拟订单费会逐渐增加,直到只有一个司机愿意为乘客服务。分析表明,这种去中心化的驾驶员调度算法将收敛于一个均衡(稳定)结果,从而实现最优的乘客-驾驶员匹配(即整个系统的社会收入最大化)。仿真结果进一步显示了收敛速度和已实现的社会收入随系统参数(如订单费增加步长)的变化规律。此外,该算法易于在实际系统中实现。
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引用次数: 4
Sense and Deploy: Blockage-Aware Deployment of Reliable 60 GHz mmWave WLANs 感知和部署:可靠的60ghz毫米波wlan的阻塞感知部署
Zhicheng Yang, P. Pathak, Jianli Pan, M. Sha, P. Mohapatra
60 GHz millimeter-wave networks have emerged as a potential candidate for designing the next generation of multi-gigabit WLANs. Since the 60 GHz links suffer from frequent outages due to blockages caused by human mobility, deploying 60 GHz WLANs that can provide robust coverage in presence of blockages is a challenging problem. In this paper, we study blockage-aware coverage and deployment of 60 GHz WLANs. We first show that the reflection profile of an indoor environment can be sensed using a few measurements. A novel coverage metric (angular spread coverage) which captures the number of available paths and their spatial diversity is proposed. Additionally, it is shown that using relays can extend the coverage of the AP at a lower cost and provide added spatial diversity in the available paths. We propose a heuristic algorithm that determines the AP and relay locations while maximizing the angular spread coverage metric for the clients. Our testbed-based evaluation shows that for five different rooms, our proposed deployment can guarantee an average connectivity of 91.7%, 83.9%, and 74.1% of client locations in the presence of 1, 3 and 5 concurrent human blockages respectively, substantially increasing the robustness of 60 GHz links against blockages.
60ghz毫米波网络已成为设计下一代多千兆无线局域网的潜在候选网络。由于60ghz链路由于人类移动造成的阻塞而经常中断,因此部署能够在阻塞存在时提供强大覆盖的60ghz wlan是一个具有挑战性的问题。本文对60ghz无线局域网的阻塞感知覆盖和部署进行了研究。我们首先展示了室内环境的反射剖面可以通过一些测量来感知。提出了一种捕获可用路径数量及其空间分异的覆盖度量(角扩展覆盖)。此外,使用中继可以以较低的成本扩展AP的覆盖范围,并在可用路径中提供额外的空间多样性。我们提出了一种启发式算法来确定AP和中继位置,同时最大化客户端的角传播覆盖度量。我们基于测试平台的评估表明,对于五个不同的房间,我们提出的部署可以保证客户端位置的平均连接率分别为91.7%、83.9%和74.1%,同时存在1个、3个和5个人工阻塞,大大提高了60 GHz链路对阻塞的鲁棒性。
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引用次数: 15
Evaluation of Suitable Radio Frequencies for Data Transmission in Potato Warehouses 马铃薯仓库数据传输的合适无线电频率评估
Björn Gernert, Fabian Schwartau, Sebastian Raabe, J. Schoebel, Karsten Schubert, S. Rottmann, L. Wolf
During recent years, automation and optimized production processes within a variety of different agriculture sectors allowed farmers to achieve higher harvesting rates and therefore to maximize the outcome of their efforts. Besides harvesting, storing the crop is the next challenging step in improving agricultural practices. Monitoring and adjusting the environmental conditions in storage are important tasks to achieve an optimal and efficient storability. This paper focuses on the communication part of such a monitoring system. Modern warehouses are usually organized as box storage, which means that the crop to be stored is filled into boxes and then piled up in large warehouses. Selective ventilation and air conditioning ensure a maximum storage period. This paper examines which radio frequencies are suitable for transmitting sensor data from stored boxes to a sink. The obtained sensor data could be used, for example, to control the air conditioning of the warehouse more precisely. The investigations are carried out on potatoes as an example, for which first a simulation and then a prototypical sensor node is created.
近年来,各种不同农业部门的自动化和优化生产过程使农民获得了更高的收获率,从而最大限度地提高了他们的努力成果。除了收割,储存作物是改善农业实践的下一个具有挑战性的步骤。监测和调整贮存环境条件是实现最佳、高效贮存的重要任务。本文重点研究了该监控系统的通信部分。现代仓库通常被组织为箱式储存,这意味着要储存的作物被装入箱中,然后堆放在大仓库中。有选择地通风和空调,保证最长的储存时间。本文研究了哪种无线电频率适合将传感器数据从存储盒传输到接收器。例如,获得的传感器数据可以用于更精确地控制仓库的空调。以马铃薯为例进行了研究,首先进行了模拟,然后创建了一个原型传感器节点。
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引用次数: 3
A Framework to Data Delivery Security for Big Data Annotation Delivery System 大数据标注交付系统的数据交付安全框架
Yanhong Yang, Hongling He, Daliang Wang, Zhongxiang Ding
Big data annotation plays an important role in Artificial Intelligence model training. The proliferation of data annotation tasks has brought the issue of security of the big data delivery. This work identifies the security framework associated with encryption and compression procedures that support data delivery safety. In this paper, we propose an agile framework that caters to various types of data under RESTful web services. All the procedures are automatically operated by the server without human intervention. This work assists the company delivers the tagged data products to users with a high-security level avoiding the risk of information disclosure.
大数据标注在人工智能模型训练中发挥着重要作用。数据标注任务的激增带来了大数据交付的安全问题。这项工作确定了与支持数据传递安全的加密和压缩过程相关的安全框架。在本文中,我们提出了一个灵活的框架,以满足RESTful web服务下各种类型的数据。所有过程均由服务器自动操作,无需人工干预。这项工作有助于公司将标记的数据产品以高安全级别交付给用户,避免信息泄露的风险。
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引用次数: 1
A Method of Linear Regression Model Building for Healthy Pupae Number Based on Common Characters Indicators 基于共性指标的健康蛹数线性回归模型建立方法
Q. Pu, T. Tao, Dagang Gong, Yuerong Xian, Hong Du
In the process of silkworm breeding, if the healthy pupae number can be predicted by using silkworm's characteristics indicators, it will provide important reference value and guidance for the subsequent breeding and characteristics improvement. In this paper, the statistical analysis of silkworm characteristics data in the past 25 years is carried out, and the linear regression model and model establishment process for predicting the healthy pupae number with common characteristics and health indicators as independent variables are given. The significance test of F test and t test and the correlation analysis of between dependent variable and independent variables showed that there is a significant linear regression relationship between the predicted value of the healthy pupae number and the indicators of trait and health. The established linear regression model predicts the healthy pupae number. The prediction error is within 2%, which is in line with the actual breeding requirements. The results are accurate. The linear regression model has certain practicability.
在家蚕育种过程中,如果能够利用家蚕的性状指标预测健康蛹数,将为后续的育种和性状改良提供重要的参考价值和指导。本文对近25年家蚕性状数据进行了统计分析,给出了以共同性状和健康指标为自变量预测健康蛹数的线性回归模型和模型建立过程。F检验和t检验的显著性检验以及因变量和自变量的相关性分析表明,健康蛹数预测值与性状和健康指标之间存在显著的线性回归关系。建立的线性回归模型预测健康蛹数。预测误差在2%以内,符合实际养殖要求。结果是准确的。该线性回归模型具有一定的实用性。
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引用次数: 0
Randomized Single-Path Flow Routing on SDN-Aware Wi-Fi Mesh Networks 基于sdn感知的Wi-Fi网状网络随机单路径流路由
Dawood Sajjadi, Zehui Zheng, Rukhsana Ruby, Jianping Pan
Wi-Fi Mesh Networks (WMNs) as a popular platform can be used for the construction of dynamic backhaul networks especially over small cells, which is an indispensable part of the 5G technology. Finding the optimal single-path flow routing solution over the multi-hop backhaul networks is a classic NP-hard problem and there are non-trivial drawbacks such as packet re-ordering to implement multi-path routing as a practical solution. However, Software Defined Networking (SDN) as an emerging paradigm can provide a great opportunity to implement fast and efficient solutions for routing the network flows over WMNs. In this paper, we propose a randomized single-path flow routing that can be applied to SDN-aware WMNs. The randomized nature of our introduced solution avoids the complexities of implementing a multi-path flow routing and it presents a viable routing scheme that guarantees certain performance bounds. In addition, it considers the key characteristics of wireless networks and it can be employed for multi-channel multi-radio WMNs. Through numerical results, we have shown that our solution follows the theoretical, tighter and more general performance bounds. Moreover, in contrast to most of the prior studies, the performance of the proposed solution is not only evaluated through a real testbed (in terms of the aggregated throughput and protocol overhead) but also compared with some of the most popular WMN routing protocols.
Wi-Fi Mesh网络(WMNs)作为一种流行的平台,可以用于构建动态回程网络,特别是在小蜂窝上,这是5G技术不可缺少的一部分。在多跳回程网络中寻找最优的单路径流路由解决方案是一个典型的np困难问题,并且在实现多路径路由作为实际解决方案时存在数据包重新排序等重大缺陷。然而,软件定义网络(SDN)作为一种新兴的范例可以为实现通过wmn路由网络流的快速和有效的解决方案提供一个很好的机会。在本文中,我们提出了一种可应用于sdn感知wmn的随机单路径流路由。我们引入的解决方案的随机特性避免了实现多路径流路由的复杂性,并提供了一种可行的路由方案,保证了一定的性能界限。此外,该方法考虑了无线网络的关键特性,可用于多信道多无线电WMNs。通过数值结果表明,我们的解符合理论的、更严格的、更一般的性能界限。此外,与大多数先前的研究相反,所提出的解决方案的性能不仅通过真实的测试平台(在聚合吞吐量和协议开销方面)进行了评估,而且还与一些最流行的WMN路由协议进行了比较。
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引用次数: 5
Distributed Kalman Filter with Consensus Strategies for Internet of Things Network 物联网网络中具有一致性策略的分布式卡尔曼滤波
Yee-Ming Chen, Chu-Kai Wang, Yu-meng Chen
In Internet of Things (IoT), link failure is unavoidable and it generally brings undesirable effects on the communication and performance of the IoT. Is it possible to cope with the problem arising from the node failure in the IoT networks, while retaining the corresponding network communication performance? In this paper, a distributed Kalman filter with consensus strategy update approach was proposed to investigate the IoT of general multi-agent networks with links failure. The objective of the proposed approach is to compensate for the undesirable effects of the failure links. Numerical simulations are provided to demonstrate the effectiveness of the approach results obtained.
在物联网(IoT)中,链路故障是不可避免的,它通常会给物联网的通信和性能带来不良影响。是否有可能在应对物联网网络中节点故障所带来的问题的同时,保持相应的网络通信性能?本文提出了一种带有共识策略更新的分布式卡尔曼滤波方法,用于研究具有链路故障的通用多智能体网络的物联网问题。提出的方法的目的是补偿失效环节的不良影响。数值仿真结果验证了该方法的有效性。
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引用次数: 1
Error Analysis on RSS Range-Based Localization Based on General Log-Distance Path Loss Model 基于一般对数距离路径损失模型的RSS距离定位误差分析
Wei Li, Zimu Yuan, Shuhui Yang, Wei Zhao
Received Signal Strength (RSS) is considered to be a promising measurement for indoor positioning. Many RSS range-based localization methods have been proposed due to the convenience and low cost of RSS measurements. However, a fundamental problem has not been answered, that is, how accurate are these methods? We think a key reason leading to this situation is the inappropriate assumption on RSS range models and measurement errors, which results in oversimplified analysis on those methods. In this paper, we use a more general range model and recognize the Generalized Least Square (GLS) method as an optimal estimator whose estimation error equals to the Cramer-Rao lower bound (CRLB). Through mathematical, techniques, we derive the analytic expression of the localization error for the GLS method, which reveals the key factors that affect the localization accuracy. Further studies on the minimal localization error disclose the proportional relationship between the localization accuracy and the above key factors.
接收信号强度被认为是一种很有前途的室内定位测量方法。由于RSS测量的便利性和低成本,人们提出了许多基于RSS距离的定位方法。然而,一个根本的问题还没有得到回答,那就是,这些方法到底有多准确?我们认为导致这种情况的关键原因是对RSS范围模型和测量误差的假设不当,导致对这些方法的分析过于简单化。本文采用更一般的极差模型,并将广义最小二乘(GLS)方法视为最优估计方法,其估计误差等于Cramer-Rao下界(CRLB)。通过数学方法,导出了GLS方法定位误差的解析表达式,揭示了影响定位精度的关键因素。对最小定位误差的进一步研究揭示了定位精度与上述关键因素之间的比例关系。
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引用次数: 4
期刊
2018 IEEE 15th International Conference on Mobile Ad Hoc and Sensor Systems (MASS)
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