Proceedings of the 21st Annual International Conference on Mobile Computing and Networking最新文献_第3页

mTrack: High-Precision Passive Tracking Using Millimeter Wave Radios mTrack:使用毫米波无线电进行高精度无源跟踪

Proceedings of the 21st Annual International Conference on Mobile Computing and Networking Pub Date : 2015-09-07 DOI: 10.1145/2789168.2790113

Teng Wei, Xinyu Zhang

{"title":"mTrack: High-Precision Passive Tracking Using Millimeter Wave Radios","authors":"Teng Wei, Xinyu Zhang","doi":"10.1145/2789168.2790113","DOIUrl":"https://doi.org/10.1145/2789168.2790113","url":null,"abstract":"Radio-based passive-object sensing can enable a new form of pervasive user-computer interface. Prior work has employed various wireless signal features to sense objects under a set of predefined, coarse motion patterns. But an operational UI, like a trackpad, often needs to identify fine-grained, arbitrary motion. This paper explores the feasibility of tracking a passive writing object (e.g., pen) at sub-centimeter precision. We approach this goal through a practical design, mTrack, which uses highly-directional 60 GHz millimeter-wave radios as key enabling technology. mTrack runs a discrete beam scanning mechanism to pinpoint the object's initial location, and tracks its trajectory using a signal-phase based model. In addition, mTrack incorporates novel mechanisms to suppress interference from background reflections, taking advantage of the short wavelength of 60 GHz signals. We prototype mTrack and evaluate its performance on a 60 GHz reconfigurable radio platform. Experimental results demonstrate that mTrack can locate/track a pen with 90-percentile error below 8 mm, enabling new applications such as wireless transcription and virtual trackpad.","PeriodicalId":424497,"journal":{"name":"Proceedings of the 21st Annual International Conference on Mobile Computing and Networking","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124161679","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: 239

Poster: Extremely Parallel Resource Pre-Fetching for Energy Optimized Mobile Web Browsing 海报:能源优化移动网页浏览极其并行的资源预取

Proceedings of the 21st Annual International Conference on Mobile Computing and Networking Pub Date : 2015-09-07 DOI: 10.1145/2789168.2795167

M. A. Hoque, S. Tarkoma, Tuikku Anttila

引用次数: 9

Demo: Closer to Cloud-RAN: RAN as a Service 演示:更接近Cloud-RAN: RAN即服务

Proceedings of the 21st Annual International Conference on Mobile Computing and Networking Pub Date : 2015-09-07 DOI: 10.1145/2789168.2789178

N. Nikaein, R. Knopp, Lionel Gauthier, Eryk Schiller, T. Braun, D. Pichon, C. Bonnet, F. Kaltenberger, D. Nussbaum

引用次数: 22

FreeBee: Cross-technology Communication via Free Side-channel FreeBee:通过免费侧通道进行跨技术交流

Proceedings of the 21st Annual International Conference on Mobile Computing and Networking Pub Date : 2015-09-07 DOI: 10.1145/2789168.2790098

S. Kim, T. He

引用次数: 213

Poster: Scoping Environment to Assist 60 GHz Link Deployment 海报:协助60ghz链路部署的范围界定环境

Proceedings of the 21st Annual International Conference on Mobile Computing and Networking Pub Date : 2015-09-07 DOI: 10.1145/2789168.2795182

Sanjib Sur, Xinyu Zhang

{"title":"Poster: Scoping Environment to Assist 60 GHz Link Deployment","authors":"Sanjib Sur, Xinyu Zhang","doi":"10.1145/2789168.2795182","DOIUrl":"https://doi.org/10.1145/2789168.2795182","url":null,"abstract":"Line-of-Sight blockage by human body is a severe challenge to enable robust 60 GHz directional links. Beamsteering is one feasible solution to overcome this problem by electronically steering phased-array beam towards Non-Line-of-Sight. However, effectiveness of beamsteering depends on the link deployment and a lack of assessment of steering effectiveness may render the link completely blacked-out during human blockage. In this poster, we propose a new technique called BeamScope, that predicts best possible location for a randomly deployed link in an indoor environment without the need of any explicit war-driving. BeamScope first characterizes the environment exploiting measurement from the randomly deployed reference location and then predicts the performance in unobserved locations to suggest a possible re-deployment. The environment characterization is captured through a novel metric and prediction is achieved via how this metric is shared between the reference location and unobserved locations. Our preliminary results show promising accuracy of identifying the best possible alternate location for 60 GHz link to achieve a robust connection during human blockage.","PeriodicalId":424497,"journal":{"name":"Proceedings of the 21st Annual International Conference on Mobile Computing and Networking","volume":"187 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127589962","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

Smartphone Background Activities in the Wild: Origin, Energy Drain, and Optimization 野外智能手机后台活动:起源、能量消耗和优化

Proceedings of the 21st Annual International Conference on Mobile Computing and Networking Pub Date : 2015-09-07 DOI: 10.1145/2789168.2790107

Xiaomeng Chen, Abhilash Jindal, Ning Ding, Y. C. Hu, M. Gupta, R. Vannithamby

{"title":"Smartphone Background Activities in the Wild: Origin, Energy Drain, and Optimization","authors":"Xiaomeng Chen, Abhilash Jindal, Ning Ding, Y. C. Hu, M. Gupta, R. Vannithamby","doi":"10.1145/2789168.2790107","DOIUrl":"https://doi.org/10.1145/2789168.2790107","url":null,"abstract":"As new iterations of more powerful and better connected smartphones emerge, their limited battery life remains a leading factor adversely affecting the mobile experience of millions of smartphone users. While it is well-known that many apps can drain battery even while running in background, there has not been any study that quantifies the extent and severity of such background energy drain for users in the wild. To extend battery life, various new features are being incorporated within the phone, one of them being preventing applications from running in background, i.e., when the screen is off, but their impact is largely unknown. This paper makes several contributions. First, we present a large-scale measurement study that performs an in-depth analysis of the activities of various apps running in background on thousands of phones in the wild. Second, we quantify the amount of battery drain by all such background activities and possible energy saving. Third, we develop a metric to measure the usefulness of background activities that is personalized to each user. Finally, we present a system called HUSH (screen-off optimizer) that monitors the metric online and automatically identifies and suppresses background activities during screen-off periods that are not useful to the user experience. In doing so, our proposed HUSH saves screen-off energy of smartphones by 15.7% on average while incurring minimal impact on the user experience with the apps.","PeriodicalId":424497,"journal":{"name":"Proceedings of the 21st Annual International Conference on Mobile Computing and Networking","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126005128","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: 83

Poster: Regression-based Characterization of 802.11ac Indoor Performance 海报:基于回归的802.11ac室内性能表征

Proceedings of the 21st Annual International Conference on Mobile Computing and Networking Pub Date : 2015-09-07 DOI: 10.1145/2789168.2795173

Edgar Costa Molero, Lito Kriara, T. Gross

引用次数: 2

Poster: Mobile Data Offloading Testbed 海报:移动数据卸载测试平台

Proceedings of the 21st Annual International Conference on Mobile Computing and Networking Pub Date : 2015-09-07 DOI: 10.1145/2789168.2795159

Matteo Pozza, C. Palazzi, Armir Bujari

引用次数: 0

Big Data, IoT, .... Buzz Words for Academia or Reality for Industry? 大数据、物联网、....学术界的流行语还是行业的现实?

Proceedings of the 21st Annual International Conference on Mobile Computing and Networking Pub Date : 2015-09-07 DOI: 10.1145/2789168.2802150

R. Aguiar, N. Benhabiles, Tobias Pfeiffer, P. Rodriguez, H. Viswanathan, Jia Wang, Hui Zang

引用次数: 6

Poster: Crowdsourced Location Aware Wi-Fi Access Control 海报:众包位置感知Wi-Fi接入控制

Proceedings of the 21st Annual International Conference on Mobile Computing and Networking Pub Date : 2015-09-07 DOI: 10.1145/2789168.2795183

Bingxian Lu, Zhicheng Zeng, Lei Wang, B. Peck, D. Qiao

{"title":"Poster: Crowdsourced Location Aware Wi-Fi Access Control","authors":"Bingxian Lu, Zhicheng Zeng, Lei Wang, B. Peck, D. Qiao","doi":"10.1145/2789168.2795183","DOIUrl":"https://doi.org/10.1145/2789168.2795183","url":null,"abstract":"In recent years, Wi-Fi has seen extraordinary growth; however, due to the cost, performance and security issues, many Wi-Fi hotspot owners would like to restrict the network access only to individuals inside the physical property. Unfortunately, due to the nature of wireless, this is difficult to accomplish, especially with the off-the-shelf omni-antenna devices. In this work, we develop and implement CLaWa, a Crowdsourced Location Aware Wi-Fi Access Control scheme to address this challenge. Our system is based on observations of differing characteristics of physical layer information across physical boundaries such as walls and corners. CLaWa crowdsources both channel state information (CSI) and received signal strength (RSS) of already validated users to classify future users. We have also selected an appropriate machine learning algorithm for CLaWa. Evaluation results show that CLaWa can identify the boundary around a given area precisely, thus granting network access only to users inside the area while not validating users outside the boundary. Compared to indoor localization schemes, CLaWa is a lightweight solution which does not require expensive localization operations.","PeriodicalId":424497,"journal":{"name":"Proceedings of the 21st Annual International Conference on Mobile Computing and Networking","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116666566","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: 2