Proceedings of the 27th Annual International Conference on Mobile Computing and Networking最新文献_第7页

A cross-layer approach for supporting real-time multi-user video streaming over WLANs* 支持无线局域网上实时多用户视频流的跨层方法*

Proceedings of the 27th Annual International Conference on Mobile Computing and Networking Pub Date : 2021-10-19 DOI: 10.1145/3447993.3482868

H. Pasandi, T. Nadeem, Hadi Amirpour, C. Timmerer

引用次数: 4

Lili

Proceedings of the 27th Annual International Conference on Mobile Computing and Networking Pub Date : 2021-10-19 DOI: 10.1145/3447993.3483246

Yongzhi Huang, Kai-Po Chen, Lu Wang, Yinying Dong, Qianyi Huang, Kaishun Wu

{"title":"Lili","authors":"Yongzhi Huang, Kai-Po Chen, Lu Wang, Yinying Dong, Qianyi Huang, Kaishun Wu","doi":"10.1145/3447993.3483246","DOIUrl":"https://doi.org/10.1145/3447993.3483246","url":null,"abstract":"In industrialized wine production, brewing and aging are two key steps. These two processes require the liquors to be bottled for a long time, sometimes more than ten years. The liquor is vulnerable and highly susceptible to microbial contamination during storage, causing undetectable deterioration. During the production process, wineries control the indoor temperature and carbon dioxide concentration to slow down other microorganisms' reproduction speed. These methods, however, do not prevent pathogenic microorganism growth. Currently, microbial culture methods are not suitable for real-time liquor quality monitoring in wineries. Therefore, we have designed a lightweight monitoring system called Lili, which uses light signals to monitor real-time liquor quality changes. Lili detects the changes in surface tension and absorption spectrum caused by microbial metabolites and growth during deterioration. Lili employs eight LEDs and one photodiode to achieve fine-grained surface tension and absorption spectrum measurements. By analyzing these changes, Lili realizes real-time quality monitoring. In this paper, the characteristic offset degree measurement and the absorption spectrum dimension expansion are two critical technologies. In addition, we implemented countermeasures against ambient light noise and sloshing interference. Lili's surface tension and absorption spectrum measurement errors are only 0.89 mN/m and 2.4%, respectively, making it useful to identify the contamination duration, microorganism content and microorganism composition. These two data points can be used to determine potential issues with liquor quality when the liquor becomes health-threatening or even just contaminated, with an accuracy of 97.5%.","PeriodicalId":177431,"journal":{"name":"Proceedings of the 27th Annual International Conference on Mobile Computing and Networking","volume":"176 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133448085","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

Robust indoor localization with ADS-B 基于ADS-B的稳健室内定位

Proceedings of the 27th Annual International Conference on Mobile Computing and Networking Pub Date : 2021-10-19 DOI: 10.1145/3447993.3483257

Alexander Canals, Pascal Josephy, Simon Tanner, Roger Wattenhofer

引用次数: 2

Towards resource-efficient detection-driven processing of multi-stream videos 面向资源高效的多流视频检测驱动处理

Proceedings of the 27th Annual International Conference on Mobile Computing and Networking Pub Date : 2021-10-19 DOI: 10.1145/3447993.3482866

Md. Adnan Arefeen, M. Y. S. Uddin

{"title":"Towards resource-efficient detection-driven processing of multi-stream videos","authors":"Md. Adnan Arefeen, M. Y. S. Uddin","doi":"10.1145/3447993.3482866","DOIUrl":"https://doi.org/10.1145/3447993.3482866","url":null,"abstract":"Detection-driven video analytics is resource hungry as it depends on running object detectors on video frames. Running an object detection engine (i.e., deep learning models such as YOLO and EfficientDet) for each frame makes video analytics pipelines difficult to achieve real-time processing. In this paper, we leverage selective processing of frames and batching of frames to reduce the overall cost of running detection models on live videos. We discuss several factors that hinder the real-time processing of detection-driven video analytics. We propose a system with configurable knobs and show how to achieve the stability of the system using a Lyapunov-based control strategy. In our setup, heterogeneous edge devices (e.g. mobile phones, cameras) stream videos to a low-resource edge server where frames are selectively processed in batches and the detection results are sent to the cloud or to the edge device for further application-aware processing. Preliminary results on controlling different knobs, such as frame skipping, frame size, and batch size show interesting insights to achieve real-time processing of multi-stream video streams with low overhead and low overall information loss.","PeriodicalId":177431,"journal":{"name":"Proceedings of the 27th Annual International Conference on Mobile Computing and Networking","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116439278","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

Practical approximate consensus algorithms for small devices in lossy networks 损耗网络中小型设备的实用近似一致性算法

Proceedings of the 27th Annual International Conference on Mobile Computing and Networking Pub Date : 2021-10-19 DOI: 10.1145/3447993.3482865

Qinzi Zhang, Tigran Bantikyan, Lewis Tseng

{"title":"Practical approximate consensus algorithms for small devices in lossy networks","authors":"Qinzi Zhang, Tigran Bantikyan, Lewis Tseng","doi":"10.1145/3447993.3482865","DOIUrl":"https://doi.org/10.1145/3447993.3482865","url":null,"abstract":"This paper studies a fundamental distributed primitive - approximate consensus - in connected things using wireless networks. It has been extensively studied in different disciplines, such as fault-tolerant computing, distributed computing, control, and robotics communities. To our surprise, we have not found any practical algorithm that is appropriate for our target scenario - a system of small things that have limited computation and storage capability, and use lossy wireless links to communicate with each other. This work first identifies the limitations of prior algorithms. Then we present two fault-tolerant approximate consensus algorithms, which minimizes storage complexity. In an n-node system, the first algorithm tolerates crash faults and only needs to store 4 values and an n-bit bit-vector, whereas the second algorithm tolerates up to f Byzantine faults, and needs to store 2f + 4 values and an n-bit bit-vector. In practice, these values are implemented using either integer or float data type. Compared to our algorithms, prior works may need to store O(nD) more values, where D is the number of rounds needed for convergence.","PeriodicalId":177431,"journal":{"name":"Proceedings of the 27th Annual International Conference on Mobile Computing and Networking","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121980689","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-plane signaling in cellular IoT: attacks and defense 蜂窝物联网中的数据平面信令:攻击与防御

Proceedings of the 27th Annual International Conference on Mobile Computing and Networking Pub Date : 2021-10-19 DOI: 10.1145/3447993.3483255

Zhaowei Tan, Boyan Ding, Jinghao Zhao, Yunqi Guo, Songwu Lu

引用次数: 7

One tag, two codes: identifying optical barcodes with NFC 一个标签，两个代码:用NFC识别光条形码

Proceedings of the 27th Annual International Conference on Mobile Computing and Networking Pub Date : 2021-09-09 DOI: 10.1145/3447993.3448631

Zhenlin An, Qiongzheng Lin, Xiaopeng Zhao, Lei Yang, Dongliang Zheng, Guiqing Wu, Shan Chang

{"title":"One tag, two codes: identifying optical barcodes with NFC","authors":"Zhenlin An, Qiongzheng Lin, Xiaopeng Zhao, Lei Yang, Dongliang Zheng, Guiqing Wu, Shan Chang","doi":"10.1145/3447993.3448631","DOIUrl":"https://doi.org/10.1145/3447993.3448631","url":null,"abstract":"Barcodes and NFC have become the de facto standards in the field of automatic identification and data capture. These standards have been widely adopted for many applications, such as mobile payments, advertisements, social sharing, admission control, and so on. Recently, considerable demands require the integration of these two codes (barcode and NFC code) into a single tag for the functional complementation. To achieve the goal of \"one tag, two codes\" (OTTC), this work proposes CoilCode, which takes advantage of the printed electronics to fuse an NFC coil antenna into a QR code on a single layer. The proposed code could be identified by cameras and NFC readers. With the use of the conductive inks, QR code and NFC code have become an essential part of each other: the modules of the QR code facilitate the NFC chip in harvesting energy from the magnetic field, while the NFC antenna itself represents bits of the QR code. Compared to the prior dual-layer OTTC, CoilCode is more compact, cost-effective, flimsy, flexible, and environment-friendly, and also reduces the fabrication complexity considerably. We prototyped hundreds of CoilCodes and conducted comprehensive evaluations (across 4 models of NFC chips and 8 kinds of NFC readers under 13 different system configurations). CoilCode demonstrates high-quality identification results for QR code and NFC functions on a wide range of inputs and under different distortion effects.","PeriodicalId":177431,"journal":{"name":"Proceedings of the 27th Annual International Conference on Mobile Computing and Networking","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126015118","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: 5

Experience: a five-year retrospective of MobileInsight 经验:MobileInsight的五年回顾

Proceedings of the 27th Annual International Conference on Mobile Computing and Networking Pub Date : 2021-09-09 DOI: 10.1145/3447993.3448138

Yuanjie Li, Chunyi Peng, Zhehui Zhang, Zhaowei Tan, Haotian Deng, Jinghao Zhao, Qianru Li, Yunqi Guo, Kai Ling, Boyan Ding, Hewu Li, Songwu Lu

引用次数: 11

Millimetro: mmWave retro-reflective tags for accurate, long range localization 毫米波:毫米波反向反射标签，用于精确的远程定位

Proceedings of the 27th Annual International Conference on Mobile Computing and Networking Pub Date : 2021-09-09 DOI: 10.1145/3447993.3448627

E. Soltanaghaei, Akarsh Prabhakara, Artur Balanuta, M. Anderson, J. Rabaey, Swarun Kumar, Anthony G. Rowe

{"title":"Millimetro: mmWave retro-reflective tags for accurate, long range localization","authors":"E. Soltanaghaei, Akarsh Prabhakara, Artur Balanuta, M. Anderson, J. Rabaey, Swarun Kumar, Anthony G. Rowe","doi":"10.1145/3447993.3448627","DOIUrl":"https://doi.org/10.1145/3447993.3448627","url":null,"abstract":"This paper presents Millimetro, an ultra-low-power tag that can be localized at high accuracy over extended distances. We develop Millimetro in the context of autonomous driving to efficiently localize roadside infrastructure such as lane markers and road signs, even if obscured from view, where visual sensing fails. While RF-based localization offers a natural solution, current ultra-low-power localization systems struggle to operate accurately at extended ranges under strict latency requirements. Millimetro addresses this challenge by re-using existing automotive radars that operate at mmWave frequency where plentiful bandwidth is available to ensure high accuracy and low latency. We address the crucial free space path loss problem experienced by signals from the tag at mmWave bands by building upon Van Atta Arrays that retro-reflect incident energy back towards the transmitting radar with minimal loss and low power consumption. Our experimental results indoors and outdoors demonstrate a scalable system that operates at a desirable range (over 100 m), accuracy (centimeter-level), and ultra-low-power (< 3 uW).","PeriodicalId":177431,"journal":{"name":"Proceedings of the 27th Annual International Conference on Mobile Computing and Networking","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117316239","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: 57

Elf: accelerate high-resolution mobile deep vision with content-aware parallel offloading Elf:通过内容感知并行卸载加速高分辨率移动深度视觉

Proceedings of the 27th Annual International Conference on Mobile Computing and Networking Pub Date : 2021-09-09 DOI: 10.1145/3447993.3448628

Wuyang Zhang, Zhezhi He, Luyang Liu, Zhenhua Jia, Yunxin Liu, M. Gruteser, D. Raychaudhuri, Yanyong Zhang

{"title":"Elf: accelerate high-resolution mobile deep vision with content-aware parallel offloading","authors":"Wuyang Zhang, Zhezhi He, Luyang Liu, Zhenhua Jia, Yunxin Liu, M. Gruteser, D. Raychaudhuri, Yanyong Zhang","doi":"10.1145/3447993.3448628","DOIUrl":"https://doi.org/10.1145/3447993.3448628","url":null,"abstract":"As mobile devices continuously generate streams of images and videos, a new class of mobile deep vision applications are rapidly emerging, which usually involve running deep neural networks on these multimedia data in real-time. To support such applications, having mobile devices offload the computation, especially the neural network inference, to edge clouds has proved effective. Existing solutions often assume there exists a dedicated and powerful server, to which the entire inference can be offloaded. In reality, however, we may not be able to find such a server but need to make do with less powerful ones. To address these more practical situations, we propose to partition the video frame and offload the partial inference tasks to multiple servers for parallel processing. This paper presents the design of Elf, a framework to accelerate the mobile deep vision applications with any server provisioning through the parallel offloading. Elf employs a recurrent region proposal prediction algorithm, a region proposal centric frame partitioning, and a resource-aware multi-offloading scheme. We implement and evaluate Elf upon Linux and Android platforms using four commercial mobile devices and three deep vision applications with ten state-of-the-art models. The comprehensive experiments show that Elf can speed up the applications by 4.85× with saving bandwidth usage by 52.6%, while with <1% application accuracy sacrifice.","PeriodicalId":177431,"journal":{"name":"Proceedings of the 27th Annual International Conference on Mobile Computing and Networking","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128228218","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: 75