2018 IEEE International Conference on Sensing, Communication and Networking (SECON Workshops)最新文献_第2页

Molecular Communication as a Biological System 分子通讯作为一种生物系统

2018 IEEE International Conference on Sensing, Communication and Networking (SECON Workshops) Pub Date : 2018-06-01 DOI: 10.1109/SECONW.2018.8396352

T. Suda, T. Nakano

引用次数: 3

IWMBMC Welcome Message IWMBMC欢迎致辞

2018 IEEE International Conference on Sensing, Communication and Networking (SECON Workshops) Pub Date : 2018-06-01 DOI: 10.1109/seconw.2018.8396336

引用次数: 0

CPC-UAV Program CPC-UAV程序

2018 IEEE International Conference on Sensing, Communication and Networking (SECON Workshops) Pub Date : 2018-06-01 DOI: 10.1109/seconw.2018.8396335

引用次数: 0

CPC-UAV Committees CPC-UAV委员会

2018 IEEE International Conference on Sensing, Communication and Networking (SECON Workshops) Pub Date : 2018-06-01 DOI: 10.1109/seconw.2018.8396333

引用次数: 0

Deductive Approach to Processing High-Level Video Activity Queries in UAV Networks 无人机网络中高级视频活动查询处理的演绎方法

2018 IEEE International Conference on Sensing, Communication and Networking (SECON Workshops) Pub Date : 2018-06-01 DOI: 10.1109/SECONW.2018.8396347

Himanshu Gupta

引用次数: 1

The Application of Machine Learning Techniques on Channel Frequency Response Based Indoor Positioning in Dynamic Environments 机器学习技术在动态环境下信道频响室内定位中的应用

2018 IEEE International Conference on Sensing, Communication and Networking (SECON Workshops) Pub Date : 2018-06-01 DOI: 10.1109/SECONW.2018.8396358

Josyl Mariela B. Rocamora, I. W. Ho, M. Mak

{"title":"The Application of Machine Learning Techniques on Channel Frequency Response Based Indoor Positioning in Dynamic Environments","authors":"Josyl Mariela B. Rocamora, I. W. Ho, M. Mak","doi":"10.1109/SECONW.2018.8396358","DOIUrl":"https://doi.org/10.1109/SECONW.2018.8396358","url":null,"abstract":"Traditional IPS uses triangulation based on signal strength but its accuracy is impaired in non-line-of-sight (NLOS) situations. Among the available wireless technologies for indoor positioning, WiFi is a good candidate since it is supported by existing mobile devices and infrastructure indoors, and it can operate under both LOS and NLOS conditions. One of the cutting-edge WiFi-based localization techniques exploits time-reversal resonating strength (TRRS) of coherent channel frequency responses (CFR). The basic concept of CFR-based positioning is based on the similarity measure between the testing CFR and the pre-recorded CFR fingerprints. A common assumption in previous works is that the wireless channel is time invariant. In this paper, we study CFR-based positioning in a dynamic indoor environment. Using the collected channel response fingerprints for both LOS and NLOS scenarios, we exploit supervised machine learning techniques to enhance the processing speed while achieving high positioning accuracy under the effect of dynamic wireless channels.","PeriodicalId":346249,"journal":{"name":"2018 IEEE International Conference on Sensing, Communication and Networking (SECON Workshops)","volume":"91 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124616795","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

IWMBMC Committees IWMBMC委员会

2018 IEEE International Conference on Sensing, Communication and Networking (SECON Workshops) Pub Date : 2018-06-01 DOI: 10.1109/seconw.2018.8396337

引用次数: 0

A Real-Time Aware Routing Strategy in Smart City Environments 智慧城市环境下的实时感知路由策略

2018 IEEE International Conference on Sensing, Communication and Networking (SECON Workshops) Pub Date : 2018-06-01 DOI: 10.1109/SECONW.2018.8396343

Yusheng Xia, Jinshu Su, Rongmao Chen, Yaping Liu, Shuhui Chen

{"title":"A Real-Time Aware Routing Strategy in Smart City Environments","authors":"Yusheng Xia, Jinshu Su, Rongmao Chen, Yaping Liu, Shuhui Chen","doi":"10.1109/SECONW.2018.8396343","DOIUrl":"https://doi.org/10.1109/SECONW.2018.8396343","url":null,"abstract":"In future smart cities, the proliferation and mobility of smart devices will bring many challenges to efficient communication for the city-wide networking, including frequent link fluctuation and disconnection.GSTAR (Generalized storage-aware routing) has been a robust routing protocol that utilizes in-network storage to address these challenges. Unfortunately, the cache- and-forward mechanism adopted by GSTAR usually results in extra delay for storing real-time data, and thus makes it not applicable for some particular real- time applications, which crucially require low latency. Motivated by this problem, we propose a real-time aware strategy to reduce the total delay of time- sensitive data for real-time applications. Also, we specifically analyze the threshold to store and forward via mathematical modeling and access the rationality of associated parameters. Through NS3-based simulation, we show that our designed real-time aware strategy can decrease the average delay of time-sensitive data and prevent the block of time-insensitive data compared with other strategies.","PeriodicalId":346249,"journal":{"name":"2018 IEEE International Conference on Sensing, Communication and Networking (SECON Workshops)","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126317031","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

Model Predictive Compression for Drone Video Analytics 无人机视频分析的模型预测压缩

2018 IEEE International Conference on Sensing, Communication and Networking (SECON Workshops) Pub Date : 2018-06-01 DOI: 10.1109/SECONW.2018.8396351

Aakanksha Chowdhery, M. Chiang

{"title":"Model Predictive Compression for Drone Video Analytics","authors":"Aakanksha Chowdhery, M. Chiang","doi":"10.1109/SECONW.2018.8396351","DOIUrl":"https://doi.org/10.1109/SECONW.2018.8396351","url":null,"abstract":"Drones will be increasingly deployed in surveillance scenarios, disaster zones, and remote areas. The videos collected from drone cameras provide site surveys, summaries, detect and track multiple targets. Today such videos are processed offline after the drone flight. Real- time processing provides several opportunities but has two key challenges - network bandwidth on the drone-to-server link is constrained and the computational capability of the drone processor is limited in terms of applying machine vision in real time. We propose a model predictive compression algorithm that uses predicted drone trajectory to select and transmit the most important image frames to the ground station to maximize the application utility while minimizing the network bandwidth use. The proposed compression scheme works in real-time on the drone processor because it estimates background motion without computing image features. To correct the model inaccuracies, the drone receives feedback from the ground station that can compute image features in real time. Evaluation results suggest that the proposed compression approach reduces network bandwidth overheads by 50-72 % while ensuring high-quality mosaics in the drone mosaicing application.","PeriodicalId":346249,"journal":{"name":"2018 IEEE International Conference on Sensing, Communication and Networking (SECON Workshops)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125898973","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: 10

An Effective Distance Measurement Method for Molecular Communication Systems 一种有效的分子通信系统距离测量方法

2018 IEEE International Conference on Sensing, Communication and Networking (SECON Workshops) Pub Date : 2018-06-01 DOI: 10.1109/SECONW.2018.8396344

Zhan Luo, Lin Lin, Qi Fu, Hao Yan

引用次数: 7