The 25th Annual International Conference on Mobile Computing and Networking最新文献_第2页

Demo: The RFID Can Hear Your Music Play 演示:RFID可以听到你的音乐播放

The 25th Annual International Conference on Mobile Computing and Networking Pub Date : 2019-10-11 DOI: 10.1145/3300061.3343379

Yuanhao Feng, Panlong Yang, Yanyong Zhang, Xiangyang Li, Ziyang Chen, Gang Huang

引用次数: 2

Challenge 挑战

The 25th Annual International Conference on Mobile Computing and Networking Pub Date : 2019-10-11 DOI: 10.1145/3300061.3345444

Branden Ghena, Joshua Adkins, Longfei Shangguan, Kyle Jamieson, P. Levis, P. Dutta

{"title":"Challenge","authors":"Branden Ghena, Joshua Adkins, Longfei Shangguan, Kyle Jamieson, P. Levis, P. Dutta","doi":"10.1145/3300061.3345444","DOIUrl":"https://doi.org/10.1145/3300061.3345444","url":null,"abstract":"Low-power wide-area networks (LPWANs) are a compelling answer to the networking challenges faced by many Internet of Things devices. Their combination of low power, long range, and deployment ease has motivated a flurry of research, including exciting results on backscatter and interference cancellation that further lower power budgets and increase capacity. But despite the interest, we argue that unlicensed LPWAN technologies can only serve a narrow class of Internet of Things applications due to two principal challenges: capacity and coexistence. We propose a metric, bit flux, to describe networks and applications in terms of throughput over a coverage area. Using bit flux, we find that the combination of low bit rate and long range restricts the use case of LPWANs to sparse sensing applications. Furthermore, this lack of capacity leads networks to use as much available bandwidth as possible, and a lack of coexistence mechanisms causes poor performance in the presence of multiple, independently-administered networks. We discuss a variety of techniques and approaches that could be used to address these two challenges and enable LPWANs to achieve the promise of ubiquitous connectivity.","PeriodicalId":223523,"journal":{"name":"The 25th Annual International Conference on Mobile Computing and Networking","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115939354","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: 46

MobiSR MobiSR

The 25th Annual International Conference on Mobile Computing and Networking Pub Date : 2019-10-11 DOI: 10.1145/3300061.3345455

Royson Lee, Stylianos I. Venieris, L. Dudziak, S. Bhattacharya, Nicholas D. Lane

{"title":"MobiSR","authors":"Royson Lee, Stylianos I. Venieris, L. Dudziak, S. Bhattacharya, Nicholas D. Lane","doi":"10.1145/3300061.3345455","DOIUrl":"https://doi.org/10.1145/3300061.3345455","url":null,"abstract":"In recent years, convolutional networks have demonstrated unprecedented performance in the image restoration task of super-resolution (SR). SR entails the upscaling of a single low-resolution image in order to meet application-specific image quality demands and plays a key role in mobile devices. To comply with privacy regulations and reduce the overhead of cloud computing, executing SR models locally on-device constitutes a key alternative approach. Nevertheless, the excessive compute and memory requirements of SR workloads pose a challenge in mapping SR networks on resource-constrained mobile platforms. This work presents MobiSR, a novel framework for performing efficient super-resolution on-device. Given a target mobile platform, the proposed framework considers popular model compression techniques and traverses the design space to reach the highest performing trade-off between image quality and processing speed. At run time, a novel scheduler dispatches incoming image patches to the appropriate model-engine pair based on the patch's estimated upscaling difficulty in order to meet the required image quality with minimum processing latency. Quantitative evaluation shows that the proposed framework yields on-device SR designs that achieve an average speedup of 2.13x over highly-optimized parallel difficulty-unaware mappings and 4.79x over highly-optimized single compute engine implementations.","PeriodicalId":223523,"journal":{"name":"The 25th Annual International Conference on Mobile Computing and Networking","volume":"98 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122891853","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: 74

On the Feasibility of Wi-Fi Based Material Sensing 基于Wi-Fi的材料传感可行性研究

The 25th Annual International Conference on Mobile Computing and Networking Pub Date : 2019-10-11 DOI: 10.1145/3300061.3345442

Diana Zhang, Jingxian Wang, Junsu Jang, Junbo Zhang, Swarun Kumar

{"title":"On the Feasibility of Wi-Fi Based Material Sensing","authors":"Diana Zhang, Jingxian Wang, Junsu Jang, Junbo Zhang, Swarun Kumar","doi":"10.1145/3300061.3345442","DOIUrl":"https://doi.org/10.1145/3300061.3345442","url":null,"abstract":"Wireless sensing has demonstrated the potential of using Wi-Fi signals to track people and objects, even behind walls.Yet, prior work in this space aims to merely detect the presence of objects around corners, rather than their type. In this paper, we explore the feasibility of the following re-search question: ?Can commodity Wi-Fi radios detect both the location and type of moving objects around them?\". We present IntuWition, a complementary sensing system that can sense the location and type of material of objects in the environment, including those out of line-of-sight. It achieves this by sensing wireless signals reflected off surrounding objects using commodity Wi-Fi radios, whose signals penetrate walls and occlusions. At the core of IntuWition is the idea that different materials reflect and scatter polarized waves in different ways. We build upon ideas from RADAR Polarimetry to detect the material of objects across spatial locations, despite mobility of the sensing device and the hardware non-idealities of commodity Wi-Fi radios. A detailed feasibility study reveals an average accuracy of 95% in line-of-sight and 92% in non-line-of-sight in classifying five types of materials:copper, aluminum, plywood, birch, and human. Finally, we present a proof-of-concept application of our system on an autonomous UAV that uses its onboard Wi-Fi radios to sense whether an occlusion is a person versus another UAV.","PeriodicalId":223523,"journal":{"name":"The 25th Annual International Conference on Mobile Computing and Networking","volume":"93 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126216019","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: 39

Poster 海报

The 25th Annual International Conference on Mobile Computing and Networking Pub Date : 2019-10-11 DOI: 10.1145/3300061.3343387

Akshay Gadre, Swarun Kumar

引用次数: 0

Poster 海报

The 25th Annual International Conference on Mobile Computing and Networking Pub Date : 2019-10-11 DOI: 10.1145/3300061.3343401

Anran Wang, Jacob E. Sunshine, Shyamnath Gollakota

引用次数: 0

DEMO 演示

The 25th Annual International Conference on Mobile Computing and Networking Pub Date : 2019-10-11 DOI: 10.1145/3300061.3343380

Karyn Doke, Nachuan Chengwang, Andrew Boggio-Dandry, Petko Bogdanov, M. Zheleva

引用次数: 0

Demo: An All-in-One Community LTE Network 演示:一体化社区LTE网络

The 25th Annual International Conference on Mobile Computing and Networking Pub Date : 2019-10-11 DOI: 10.1145/3300061.3343371

Spencer Sevilla, Matthew Johnson, Pat Kosakanchit, Jenny T Liang, Kurtis Heimerl

引用次数: 1

Demo 演示

The 25th Annual International Conference on Mobile Computing and Networking Pub Date : 2019-10-11 DOI: 10.1145/3313151.3314057

T. Kecskés, Patrik Meijer, Taylor T. Johnson, Marcus Lucas

{"title":"Demo","authors":"T. Kecskés, Patrik Meijer, Taylor T. Johnson, Marcus Lucas","doi":"10.1145/3313151.3314057","DOIUrl":"https://doi.org/10.1145/3313151.3314057","url":null,"abstract":"It is often the case that analysis, simulation and verification tools from different sources share a lot of commonalities. Even though the syntax might differ, the semantics of the input models are many times the same. Theoretically this means that different tools could either be compared or combined to analyze different aspects of the same model. In practise however, this often leads to time-consuming manual tweaks and modifications on a per model basis. Additionally, the necessary environments, in form of run-times and dependencies required for the tools to be executed, are not always readily available. Images for virtual machines and containers surely ease the process for setting up the context, but this still requires manual plumbing when setting up a work-flow. In this demo a Design Studio for combining different verification tools is show-cased. Building on top of WebGME (Generic Modeling Environment) it provides end-users with an online, browser-based editor where models are stored in a version-controlled, centralized database. At any point of the design process, a model can at the click of a button be requested to act as input for a range of different verification tools such as SpaceEx, Flow* and dReach. The Design Studio is currently hosted at cps-vo.org, but also available as open source and the entire system can, thanks to containerization, be hosted locally with a single command. At the core of this Design Studio lies the HYbrid Source Transformer, HYST, which is hosted as an independent service for translating a common model format, SpaceEx, into each tool-specific format.","PeriodicalId":223523,"journal":{"name":"The 25th Annual International Conference on Mobile Computing and Networking","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114970746","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

vrAIn 弗兰

The 25th Annual International Conference on Mobile Computing and Networking Pub Date : 2019-10-11 DOI: 10.1145/3300061.3345431

J. Ayala-Romero, Andres Garcia-Saavedra, M. Gramaglia, Xavier Costa-Pérez, Albert Banchs, J. J. Alcaraz

{"title":"vrAIn","authors":"J. Ayala-Romero, Andres Garcia-Saavedra, M. Gramaglia, Xavier Costa-Pérez, Albert Banchs, J. J. Alcaraz","doi":"10.1145/3300061.3345431","DOIUrl":"https://doi.org/10.1145/3300061.3345431","url":null,"abstract":"The virtualization of radio access networks (vRAN) is the last milestone in the NFV revolution. However, the complex dependencies between computing and radio resources make vRAN resource control particularly daunting. We present vrAIn, a dynamic resource controller for vRANs based on deep reinforcement learning. First, we use an autoencoder to project high-dimensional context data (traffic and signal quality patterns) into a latent representation. Then, we use a deep deterministic policy gradient (DDPG) algorithm based on an actor-critic neural network structure and a classifier to map (encoded) contexts into resource control decisions. We have implemented vrAIn using an open-source LTE stack over different platforms. Our results show that vrAIn successfully derives appropriate compute and radio control actions irrespective of the platform and context: (i) it provides savings in computational capacity of up to 30% over CPU-unaware methods; (ii) it improves the probability of meeting QoS targets by 25% over static allocation policies using similar CPU resources in average; (iii) upon CPU capacity shortage, it improves throughput performance by 25% over state-of-the-art schemes; and (iv) it performs close to optimal policies resulting from an offline oracle. To the best of our knowledge, this is the first work that thoroughly studies the computational behavior of vRANs, and the first approach to a model-free solution that does not need to assume any particular vRAN platform or system conditions.","PeriodicalId":223523,"journal":{"name":"The 25th Annual International Conference on Mobile Computing and Networking","volume":"106 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117118918","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: 59