IPSN-14 Proceedings of the 13th International Symposium on Information Processing in Sensor Networks最新文献_第4页

Demonstration abstract: A lightweight, portable device with integrated USB-Host support for reprogramming wireless sensor nodes 演示摘要:一种轻量级便携式设备，集成USB-Host支持无线传感器节点重新编程

IPSN-14 Proceedings of the 13th International Symposium on Information Processing in Sensor Networks Pub Date : 2014-04-15 DOI: 10.1109/IPSN.2014.6846789

H. Smeets, Chia-Yen Shih, Tim Meurer, P. Marrón

引用次数: 3

Poster abstract: Water level estimation in urban ultrasonic/passive infrared flash flood sensor networks using supervised learning 海报摘要:基于监督学习的城市超声/被动红外山洪传感器网络水位估计

IPSN-14 Proceedings of the 13th International Symposium on Information Processing in Sensor Networks Pub Date : 2014-04-15 DOI: 10.1109/IPSN.2014.6846761

M. Mousa, C. Claudel

引用次数: 8

Poster abstract: ENav — A smartphone-based energy efficient vehicular navigation system 海报摘要:ENav -基于智能手机的节能车辆导航系统

IPSN-14 Proceedings of the 13th International Symposium on Information Processing in Sensor Networks Pub Date : 2014-04-15 DOI: 10.1109/IPSN.2014.6846763

Shaohan Hu, Lu Su, Shen Li, Shiguang Wang, Chenji Pan, Siyu Gu, Md. Tanvir Al Amin, Hengchang Liu, Suman Nath, Romit Roy Choudhury, T. Abdelzaher

{"title":"Poster abstract: ENav — A smartphone-based energy efficient vehicular navigation system","authors":"Shaohan Hu, Lu Su, Shen Li, Shiguang Wang, Chenji Pan, Siyu Gu, Md. Tanvir Al Amin, Hengchang Liu, Suman Nath, Romit Roy Choudhury, T. Abdelzaher","doi":"10.1109/IPSN.2014.6846763","DOIUrl":"https://doi.org/10.1109/IPSN.2014.6846763","url":null,"abstract":"We present eNav, a smartphone-based vehicular GPS navigation system that has an energy-saving location sensing mode capable of drastically reducing navigation energy needs. Traditional implementations sample the phone GPS at the highest possible rate (usually 1Hz) to ensure constant highest possible localization accuracy. This practice results in excessive phone battery consumption and reduces the attainable length of a navigation session. The seemingly most common solution would be to always use a car-charger and keep the phone plugged-in during navigation at all times. However, according to a comprehensive survey we conducted, only a small percent of people would actually always carry around their phones' car-chargers and cables, as doing so is inconvenient and defeats the true “wireless” nature of mobile phones. In addressing this problem, eNav exploits the phone's lower-energy on-board motion sensors for approximate location sensing when the vehicle is sufficiently far from the next navigation waypoint, using actual GPS sampling only when close. Our user study shows that, while remaining virtually transparent to users, eNav can reduce navigation energy consumption by over 80% without compromising navigation quality or user experience.","PeriodicalId":297218,"journal":{"name":"IPSN-14 Proceedings of the 13th International Symposium on Information Processing in Sensor Networks","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115096552","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: 1

RESONATE: Reverberation environment simulation for improved classification of speech models 共振:用于改进语音模型分类的混响环境仿真

IPSN-14 Proceedings of the 13th International Symposium on Information Processing in Sensor Networks Pub Date : 2014-04-15 DOI: 10.1109/IPSN.2014.6846745

Robert F. Dickerson, Enamul Hoque, Philip Asare, S. Nirjon, J. Stankovic

{"title":"RESONATE: Reverberation environment simulation for improved classification of speech models","authors":"Robert F. Dickerson, Enamul Hoque, Philip Asare, S. Nirjon, J. Stankovic","doi":"10.1109/IPSN.2014.6846745","DOIUrl":"https://doi.org/10.1109/IPSN.2014.6846745","url":null,"abstract":"Home monitoring systems currently gather information about peoples activities of daily living and information regarding emergencies, however they currently lack the ability to track speech. Practical speech analysis solutions are needed to help monitor ongoing conditions such as depression, as the amount of social interaction and vocal affect is important for assessing mood and well-being. Although there are existing solutions that classify the identity and the mood of a speaker, when the acoustic signals are captured in reverberant environments they perform poorly. In this paper, we present a practical reverberation compensation method called RESONATE, which uses simulated room impulse responses to adapt a training corpus for use in multiple real reverberant rooms. We demonstrate that the system creates robust classifiers that perform within 5 - 10% of baseline accuracy of non-reverberant environments. We demonstrate and evaluate the performance of this matched condition strategy using a public dataset, and also in controlled experiments with six rooms, and two long-term and uncontrolled real deployments. We offer a practical implementation that performs collection, feature extraction, and classification on-node, and training and simulation of training sets on a base station or cloud service.","PeriodicalId":297218,"journal":{"name":"IPSN-14 Proceedings of the 13th International Symposium on Information Processing in Sensor Networks","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123905714","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

Demonstration abstract: PyoT, a macroprogramming framework for the IoT 演示摘要:PyoT，一个物联网的宏编程框架

IPSN-14 Proceedings of the 13th International Symposium on Information Processing in Sensor Networks Pub Date : 2014-04-15 DOI: 10.1109/IPSN.2014.6846780

A. Azzara, Daniele Alessandrelli, M. Petracca, P. Pagano

引用次数: 6

Poster abstract: EIL — An environment-independent Device-free Passive Localization approach 海报摘要:EIL——一种与环境无关的无设备被动定位方法

IPSN-14 Proceedings of the 13th International Symposium on Information Processing in Sensor Networks Pub Date : 2014-04-15 DOI: 10.1109/IPSN.2014.6846768

Liqiong Chang, Dingyi Fang, Zhe Yang, Xiaojiang Chen, Ju Wang, Weike Nie, Tianzhang Xing

引用次数: 1

Sensors with lasers: Building a WSN power grid 激光传感器:建立无线传感器网络电网

IPSN-14 Proceedings of the 13th International Symposium on Information Processing in Sensor Networks Pub Date : 2014-04-15 DOI: 10.1109/IPSN.2014.6846758

Naveed Anwar Bhatti, A. Syed, Muhammad Hamad Alizai

引用次数: 18

Demonstration abstract: Submetering by synthesizing side-channel sensor streams 演示摘要:通过合成侧通道传感器流进行分计量

IPSN-14 Proceedings of the 13th International Symposium on Information Processing in Sensor Networks Pub Date : 2014-04-15 DOI: 10.1109/IPSN.2014.6846795

Meghan Clark, Bradford Campbell, P. Dutta

{"title":"Demonstration abstract: Submetering by synthesizing side-channel sensor streams","authors":"Meghan Clark, Bradford Campbell, P. Dutta","doi":"10.1109/IPSN.2014.6846795","DOIUrl":"https://doi.org/10.1109/IPSN.2014.6846795","url":null,"abstract":"Detailed breakdowns of household energy consumption allow occupants to better understand their energy usage patterns and identify opportunities for energy savings. Current solutions are costly, invasive, and difficult to maintain. Sub-metering approaches rely on - and are hindered by - complex hardware. To address these problems, we demonstrate a sub-metering system that can estimate the power draw of individual loads by augmenting aggregate measurements with very simple sensors. These sensors wake up at a frequency proportional to the power draw of a neighboring load, and report these wakeups to a central server. We model the relationship between each sensor's wakeup frequency and the load's power draw as a monotonically increasing polynomial. We calibrate each sensor's function by constructing a linear least squares problem that allows us to discover the set of polynomial coefficients that minimize the difference between the estimated power draw and the power draw as derived from the aggregate measurements. After calibration, we can convert sensor wakeup frequencies to power draw in real time. This systems approach to sub-metering results in deployments that are easy to install and maintain, allowing users to gain a broad yet detailed view of their energy consumption and costs.","PeriodicalId":297218,"journal":{"name":"IPSN-14 Proceedings of the 13th International Symposium on Information Processing in Sensor Networks","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114711405","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

Airplanes aloft as a sensor network for wind forecasting 空中的飞机作为风预报的传感器网络

IPSN-14 Proceedings of the 13th International Symposium on Information Processing in Sensor Networks Pub Date : 2014-04-15 DOI: 10.1109/IPSN.2014.6846738

Ashish Kapoor, Zachary Horvitz, S. Laube, E. Horvitz

引用次数: 23

Fine-grained remote monitoring, control and pre-paid electrical service in rural microgrids 农村微电网的精细远程监测、控制和预付费电力服务

IPSN-14 Proceedings of the 13th International Symposium on Information Processing in Sensor Networks Pub Date : 2014-04-15 DOI: 10.1109/IPSN.2014.6846736

Maxim Buevich, Dan Schnitzer, Tristan Escalada, Arthur Jacquiau-Chamski, Anthony G. Rowe

{"title":"Fine-grained remote monitoring, control and pre-paid electrical service in rural microgrids","authors":"Maxim Buevich, Dan Schnitzer, Tristan Escalada, Arthur Jacquiau-Chamski, Anthony G. Rowe","doi":"10.1109/IPSN.2014.6846736","DOIUrl":"https://doi.org/10.1109/IPSN.2014.6846736","url":null,"abstract":"In this paper, we present the architecture, design and experiences from a wirelessly managed microgrid deployment in rural Les Anglais, Haiti. The system consists of a three-tiered architecture with a cloud-based monitoring and control service, a local embedded gateway infrastructure and a mesh network of wireless smart meters deployed at 52 buildings. Each smart meter device has an 802.15.4 radio that enables remote monitoring and control of electrical service. The meters communicate over a scalable multi-hop TDMA network back to a central gateway that manages load within the system. The gateway also provides an 802.11 interface for an on-site operator and a cellular modem connection to a cloud-backend that manages and stores billing and usage data. The cloud backend allows occupants in each home to pre-pay for electricity at a particular peak power limit using a text messaging service. The system activates each meter within seconds and locally enforces power limits with provisioning for theft detection. We believe that this fine-grained micro-payment model can enable sustainable power in otherwise unfeasible areas. This paper provides a chronology of our deployment and installation strategy that involved GPS-based site mapping along with various network conditioning actions required as the network evolved. Finally, we summarize key lessons learned and hypothesis about additional hardware that could be used to ease the tracing of faults like short circuits and downed lines within microgrids.","PeriodicalId":297218,"journal":{"name":"IPSN-14 Proceedings of the 13th International Symposium on Information Processing in Sensor Networks","volume":"120 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117297584","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: 27