The ACM MobiSys 2019 on Rising Stars Forum最新文献

Vehicular Visible Light Communication with Dynamic Vision Sensor 基于动态视觉传感器的车辆可见光通信

The ACM MobiSys 2019 on Rising Stars Forum Pub Date : 2019-06-13 DOI: 10.1145/3325425.3329941

Wen-Hsuan Shen

{"title":"Vehicular Visible Light Communication with Dynamic Vision Sensor","authors":"Wen-Hsuan Shen","doi":"10.1145/3325425.3329941","DOIUrl":"https://doi.org/10.1145/3325425.3329941","url":null,"abstract":"This paper outlines the research to develop a vehicular visible light communication system with the use of a new type of CMOS sensor: a dynamic vision sensor. Rather than reporting still frames and absolute intensity values, a DVS camera only outputs events when it observes a change in luminance. This unique property greatly reduces the possibility of wasting the valuable bandwidth in capturing fix image backgrounds. To understand the behavior of a DVS camera, preliminary experiments are carried out. Based on the experimental results, we propose to design a LED array which is able to achieve a long communication range even with low average luminance level, when using a DVS camera as the receiver. On the other hand, algorithms are also developed for addressing the system mobility issue. We believe that this proposed system can offer several advantages over the existing systems. First, long communication range is achieved with a much lower luminance level. Second, the system is able to perform simultaneous transmission without additional multiplexing overheads. Finally, with the use of a DVS camera, the bandwidth is preserved for data carrying and hence the chance for boosting the system throughput.","PeriodicalId":315182,"journal":{"name":"The ACM MobiSys 2019 on Rising Stars Forum","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134373147","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

Facilitating the Deployment of Next Billion IoT Devices with Distributed Antenna Systems 利用分布式天线系统促进下一个十亿物联网设备的部署

The ACM MobiSys 2019 on Rising Stars Forum Pub Date : 2019-06-13 DOI: 10.1145/3325425.3329943

Xiaoran Fan

引用次数: 2

Intelligent Parking Management System Utilizing RFID 基于RFID的智能停车场管理系统

The ACM MobiSys 2019 on Rising Stars Forum Pub Date : 2019-06-13 DOI: 10.1145/3325425.3329942

Hao-Ping Wu

引用次数: 5

Vehicle Verification Using Deep Learning for Connected Vehicle Sharing Systems 基于深度学习的互联汽车共享系统车辆验证

The ACM MobiSys 2019 on Rising Stars Forum Pub Date : 2019-06-13 DOI: 10.1145/3325425.3329944

Hansi Liu

引用次数: 3

Device-Invariant Cellular-Based Indoor Localization System Using Deep Learning 基于深度学习的设备不变元胞室内定位系统

The ACM MobiSys 2019 on Rising Stars Forum Pub Date : 2019-06-13 DOI: 10.1145/3325425.3329940

Hamada Rizk

{"title":"Device-Invariant Cellular-Based Indoor Localization System Using Deep Learning","authors":"Hamada Rizk","doi":"10.1145/3325425.3329940","DOIUrl":"https://doi.org/10.1145/3325425.3329940","url":null,"abstract":"The demand for a ubiquitous and accurate indoor localization service is continuously growing. Cellular-based systems, by definition, have been shown to be a perfect selection to provide a ubiquitous localization service. The main barrier towards achieving this goal is the heterogeneity of the many different types and models of cell phones which result in variations of the measured received signal strength (RSS) even from the same location at the same time. This is particular to fingerprinting-based localization where different types of phones may be used between the system training and tracking times. The performance of the current cellular-based solutions drops significantly. In this paper, we propose a deep learning-based system that leverages cellular measurements from training devices to provide consistent, fine-grained performance across unseen tracking phones with milliwatts of power consumption. The proposed system incorporates different components to extract the device-invariant features and improve the deep model's generalization and robustness, achieving device-transparent operation. Evaluation of the proposed system in a realistic testbed using three different Android phones with different form factors and sensing capability shows that it can achieve a consistent localization accuracy. This is better than the state-of-the-art indoor cellularbased systems by at least 65%. Our experiments show the promise of this method, yielding maximum median error typically within only 0.39 meter of training and testing with the same phone.","PeriodicalId":315182,"journal":{"name":"The ACM MobiSys 2019 on Rising Stars Forum","volume":"74 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122063929","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: 21

Enabling the Next Generation of Wireless Sensors 实现下一代无线传感器

The ACM MobiSys 2019 on Rising Stars Forum Pub Date : 2019-06-13 DOI: 10.1145/3325425.3329939

Andreas Soleiman

引用次数: 1

The ACM MobiSys 2019 on Rising Stars Forum ACM MobiSys 2019明日之星论坛

The ACM MobiSys 2019 on Rising Stars Forum Pub Date : 1900-01-01 DOI: 10.1145/3325425

引用次数: 0