2019 Twelfth International Conference on Mobile Computing and Ubiquitous Network (ICMU)最新文献

Network Behavior Estimation Method for Wireless Ad-Hoc Networks by Analyzing Data Transmission Traffic 基于数据传输流量分析的无线自组网网络行为估计方法

2019 Twelfth International Conference on Mobile Computing and Ubiquitous Network (ICMU) Pub Date : 2019-11-01 DOI: 10.23919/ICMU48249.2019.9006669

K. Fukuoka, Miyuki Yamamoto, T. Yokotani, M. Saito, Y. Terashima

引用次数: 1

Channel Reservation by Even-odd Separation in Multiple Subcarrier Multiple Access 基于奇偶分离的多载波多址信道保留

2019 Twelfth International Conference on Mobile Computing and Ubiquitous Network (ICMU) Pub Date : 2019-11-01 DOI: 10.23919/ICMU48249.2019.9006642

Kouki Takahashi, Yuki Takazawa, Hiromu Kamei, J. Mitsugi, H. Ichikawa, Yuusuke Kawakita

{"title":"Channel Reservation by Even-odd Separation in Multiple Subcarrier Multiple Access","authors":"Kouki Takahashi, Yuki Takazawa, Hiromu Kamei, J. Mitsugi, H. Ichikawa, Yuusuke Kawakita","doi":"10.23919/ICMU48249.2019.9006642","DOIUrl":"https://doi.org/10.23919/ICMU48249.2019.9006642","url":null,"abstract":"Authors propose a method for improving channel reservations in multi-subcarrier multiple-access wireless communications schemes. This scheme is designed for use with wide-area synchronous sensing zones that use functionally extended multi-subcarrier multiple-access subcarrier communication schemes for passive radio-frequency identification (RFID). When the sensing target is larger than the communication distance of the sensor, the sensing zone must be divided. Overlapping zones invariably occur in this case. Sensors in overlapping zones transmit signals to their respective receivers over the same channels and interference follows. If three or more zones are placed side by side, middle zone's communication capacity is lower than else zones. Because, middle zone can not use nearly center frequency. However, the communication capacity and its variations have not been examined for how they are affected by the zones in which overlapping sensors are used. This study investigated communications between sensors in overlapping zones by assigning channels to receivers in odd zones. The channel reservation method and the conventional method were simulated in MATLAB an compared. By allocating channels to sensors in odd zones, communication capacity can be improved and variations suppressed.","PeriodicalId":348402,"journal":{"name":"2019 Twelfth International Conference on Mobile Computing and Ubiquitous Network (ICMU)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128646332","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: 0

Data Correction Management Method Using Temporal Data in Fog Computing 基于雾计算时间数据的数据校正管理方法

2019 Twelfth International Conference on Mobile Computing and Ubiquitous Network (ICMU) Pub Date : 2019-11-01 DOI: 10.23919/ICMU48249.2019.9006651

Tsukasa Kudo

引用次数: 0

Human Tracking of Single Laser Range Finder Using Features Extracted by Deep Learning 基于深度学习特征提取的单激光测距仪人体跟踪

2019 Twelfth International Conference on Mobile Computing and Ubiquitous Network (ICMU) Pub Date : 2019-11-01 DOI: 10.23919/ICMU48249.2019.9006630

Yuki Kohara, M. Nakazawa

引用次数: 1

A PDR Smartphone Application Considering Side/Backward Steps 一个PDR智能手机应用程序考虑侧面/向后步骤

2019 Twelfth International Conference on Mobile Computing and Ubiquitous Network (ICMU) Pub Date : 2019-11-01 DOI: 10.23919/ICMU48249.2019.9006673

K. Kaji, Masaaki Kaneko, Nobuyuki Ito, K. Naito, N. Chujo, T. Mizuno

{"title":"A PDR Smartphone Application Considering Side/Backward Steps","authors":"K. Kaji, Masaaki Kaneko, Nobuyuki Ito, K. Naito, N. Chujo, T. Mizuno","doi":"10.23919/ICMU48249.2019.9006673","DOIUrl":"https://doi.org/10.23919/ICMU48249.2019.9006673","url":null,"abstract":"PDR is mentioned as a powerful indoor position estimation method. In general PDR, the direction of movement is determined from the value of the angular velocity sensor, so it is difficult to estimate behavior such as walking sideways or backwards without changing the angular velocity value. In order to solve this problem, we proposed a method to estimate the traveling direction of each step using the acceleration plane component. Although this research has made it possible to estimate the behavior in which the value of angular velocity does not change, there is a problem that the estimated trajectory becomes zigzag when going straight. The main reason for the zigzag trajectory is that the rotation of the waist is not taken into consideration. In this research, in addition to the acceleration plane component, the angular velocity plane component is used in combination, and the motion direction estimation for each step is made more accurate by canceling the waist rotation. As a experimental result, the error of the method of the previous research is about 14.2 degrees on average, and the method of this research is about 9.1 degrees on average, and the accuracy improvement of about 5.1 degrees on average was confirmed. In addition, the proposed method is implemented as an Android application with real-time processing enabled.","PeriodicalId":348402,"journal":{"name":"2019 Twelfth International Conference on Mobile Computing and Ubiquitous Network (ICMU)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130244761","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

Lossless Compression Techniques in Edge Computing for Mission-Critical Applications in the IoT 面向物联网关键任务应用的边缘计算无损压缩技术

2019 Twelfth International Conference on Mobile Computing and Ubiquitous Network (ICMU) Pub Date : 2019-11-01 DOI: 10.23919/ICMU48249.2019.9006647

Tuan Anh Nguyen Gia, Qingqing Li, J. P. Queralta, H. Tenhunen, Zhuo Zou, Tomi Westerlund

{"title":"Lossless Compression Techniques in Edge Computing for Mission-Critical Applications in the IoT","authors":"Tuan Anh Nguyen Gia, Qingqing Li, J. P. Queralta, H. Tenhunen, Zhuo Zou, Tomi Westerlund","doi":"10.23919/ICMU48249.2019.9006647","DOIUrl":"https://doi.org/10.23919/ICMU48249.2019.9006647","url":null,"abstract":"The need of data compression at smart Edge/Fog-based gateways is undeniable as data compression can significantly reduce the amount of data that has to be transmitted over a network. This, in turn, has a direct impact on reducing transmission latency and increasing network bandwidth. In time-critical and data sensitive IoT applications such as healthcare, lossless data compression is preferable as compressed data can be recovered without losing any information. However, it is not an easy task to choose a proper lossless data compression algorithm for IoT applications as each lossless data compression method has its own advantages and disadvantages. This paper focuses on the analysis of lossless data compression algorithms run at smart Edge/Fog gateways. Widely used lossless data compression are run at different hardware which is often used as smart Fog/Edge gateways. The latency of data compression and compression rate in different cases of input data sizes are analyzed. The paper provides guidelines for choosing a proper lossless data compression algorithm for time-critical IoT applications.","PeriodicalId":348402,"journal":{"name":"2019 Twelfth International Conference on Mobile Computing and Ubiquitous Network (ICMU)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128813124","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: 17

Visual Odometry Offloading in Internet of Vehicles with Compression at the Edge of the Network 基于网络边缘压缩的车联网视觉里程计卸载

2019 Twelfth International Conference on Mobile Computing and Ubiquitous Network (ICMU) Pub Date : 2019-11-01 DOI: 10.23919/ICMU48249.2019.9006652

Qingqing Li, J. P. Queralta, Tuan Anh Nguyen Gia, H. Tenhunen, Zhuo Zou, Tomi Westerlund

引用次数: 16

Cloud-based Dynamic Tiled Display Adapting to Grouping by Distinction of Mobile Devices 适应移动设备分组的云动态平铺显示

2019 Twelfth International Conference on Mobile Computing and Ubiquitous Network (ICMU) Pub Date : 2019-11-01 DOI: 10.23919/ICMU48249.2019.9006637

T. Kondo, Kaori Maeda

引用次数: 0

An End-to-End BLE Indoor Location Estimation Method Using LSTM 基于LSTM的端到端BLE室内位置估计方法

2019 Twelfth International Conference on Mobile Computing and Ubiquitous Network (ICMU) Pub Date : 2019-11-01 DOI: 10.23919/ICMU48249.2019.9006638

Kenta Urano, Kei Hiroi, Takuro Yonezawa, Nobuo Kawaguchi

{"title":"An End-to-End BLE Indoor Location Estimation Method Using LSTM","authors":"Kenta Urano, Kei Hiroi, Takuro Yonezawa, Nobuo Kawaguchi","doi":"10.23919/ICMU48249.2019.9006638","DOIUrl":"https://doi.org/10.23919/ICMU48249.2019.9006638","url":null,"abstract":"Indoor location estimation has long been researched to realize location-based services. In this paper, we propose an indoor location estimation method for Bluetooth Low Energy (BLE) devices using end-to-end LSTM neural network. We focus on large-scale exhibition where is a tough environment for wireless indoor location estimation due to signal strength instability. To achieve higher accuracy, deep learning based methods are proposed rather than trilateration or fingerprint. Existing deep learning based methods estimate the location from the probabilities using the difference of query signal strength and autoencoder-reconstruction of it. Proposed method adopts end-to-end location estimation, which means the neural network takes a time-series of signal strength and outputs the estimated location at the latest time in the input time-series. We also build a loss function which takes how a person walks into account. Considering the difficulty of data collection within a short preparation term of an exhibition, the data generated by a simple simulation is used in the training phase before training with a small amount of real data. As a result, the estimation accuracy is average of 1.92m, using the data collected in GEXPO exhibition in Miraikan, Tokyo. Proposed method outperforms our previous trilateration based method's 4.51m average.","PeriodicalId":348402,"journal":{"name":"2019 Twelfth International Conference on Mobile Computing and Ubiquitous Network (ICMU)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124173233","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

Low-Power WSN System for Honey Bee Monitoring 用于蜜蜂监测的低功耗无线传感器网络系统

2019 Twelfth International Conference on Mobile Computing and Ubiquitous Network (ICMU) Pub Date : 2019-11-01 DOI: 10.23919/ICMU48249.2019.9006659

Tymoteusz Cejrowski, J. Szymański, Andrzej Sobecki, David Gil, H. Mora

{"title":"Low-Power WSN System for Honey Bee Monitoring","authors":"Tymoteusz Cejrowski, J. Szymański, Andrzej Sobecki, David Gil, H. Mora","doi":"10.23919/ICMU48249.2019.9006659","DOIUrl":"https://doi.org/10.23919/ICMU48249.2019.9006659","url":null,"abstract":"The paper presents a universal low-power system for biosensory data acquisition in scope of bees monitoring. We describe the architecture of the system, energy-saving components as well as we discuss the selection of used sensors. The work focuses on energy optimization in a scope of wireless communication. A custom protocol was implemented, which is the basis for presented energy-efficient devices. Data exchange process during network initialization and measurement collection was presented. The core principles are devices synchronization and parallel clocks. Devices wake up in their time slot in order to exchange data. For the energy consumption tests, Keysight N6705B power analyzer was used to draw accurate current intake characteristic. The most demanding operations in terms of power consumption were communication and microphone recordings. The performance of devices in case of non-optimized operation, i.e. when optimization techniques are switched off, was compared. It has been shown that devices equipped with 2200 mAh battery can operate continuously for 2 years and 7 months, which gives 3600% increase in operating days compared to the non-optimized case.","PeriodicalId":348402,"journal":{"name":"2019 Twelfth International Conference on Mobile Computing and Ubiquitous Network (ICMU)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127684119","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