2012 ACM/IEEE 11th International Conference on Information Processing in Sensor Networks (IPSN)最新文献_第4页

Poster abstract: TDOA sensor pairing in multi-hop sensor networks 海报摘要:多跳传感器网络中的TDOA传感器配对

2012 ACM/IEEE 11th International Conference on Information Processing in Sensor Networks (IPSN) Pub Date : 2012-04-16 DOI: 10.1145/2185677.2185692

W. Meng, Lihua Xie, Wendong Xiao

{"title":"Poster abstract: TDOA sensor pairing in multi-hop sensor networks","authors":"W. Meng, Lihua Xie, Wendong Xiao","doi":"10.1145/2185677.2185692","DOIUrl":"https://doi.org/10.1145/2185677.2185692","url":null,"abstract":"Acoustic source localization based on time difference of arrival (TDOA) measurements from spatially separated sensors is an important problem in wireless sensor networks (WSNs). While extensive research works have been performed on algorithm development, limited attention has been paid in how to form the sensor pairs. In the literature, most of the works adopt a centralized sensor pairing strategy, where only one common sensor node is chosen as the reference. However, due to the multi-hop nature of WSNs, it is well known that this kind of centralized signal processing method is power consuming since raw measurement data is involved in the transmissions. To reduce the requirements for both network bandwidth and power consumptions, we propose an in-network sensor pairing method to collect the TDOA measurements while guaranteeing the quality of source localization. The solution involves finding a minimal sized dominating set (MSDS) for a graph of the muti-hop network. It has been proved that in-network sensor pairing can result in the same Cramer-Rao-Bound (CRB) as the centralized one but at a far more less communication cost. Furthermore, the structure of the proposed in-network sensor pairing coincides with the decentralized source localization, which is an important application of our method.","PeriodicalId":231003,"journal":{"name":"2012 ACM/IEEE 11th International Conference on Information Processing in Sensor Networks (IPSN)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127427337","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

Magneto-Inductive NEtworked Rescue System (MINERS): Taking sensor networks underground 磁感应网络救援系统(矿工):将传感器网络带到地下

2012 ACM/IEEE 11th International Conference on Information Processing in Sensor Networks (IPSN) Pub Date : 2012-04-16 DOI: 10.1145/2185677.2185746

A. Markham, N. Trigoni

{"title":"Magneto-Inductive NEtworked Rescue System (MINERS): Taking sensor networks underground","authors":"A. Markham, N. Trigoni","doi":"10.1145/2185677.2185746","DOIUrl":"https://doi.org/10.1145/2185677.2185746","url":null,"abstract":"Wireless underground networks are an emerging technology which have application in a number of scenarios. For example, in a mining disaster, flooding or a collapse can isolate portions of underground tunnels, severing wired communication links and preventing radio communication. In this pa-per, we explore the use of low frequency magnetic fields for communication, and present a new hardware platform that features triaxial transmitter/receiverantenna loops. We point out that the fundamental problem of the magnetic channel is the limited bitrate at long ranges, due to the extreme path loss of 60 dB/decade. To this end, we present two complementary techniques to address this limitation. Firstly, we demonstrate magnetic vector modulation, a technique which modulates the three dimensional orientation of the magnetic vector. This increases the gross bitrate by a factor of over 2.5, without an increase in transmission power or bandwidth. Secondly, we show how in a multi-hop network latencies can be dramatically reduced by receiving multiple parallel streams of frequency multiplexed data in a many-to-one configuration. These techniques are demonstrated on a working hardware platform, which for flexible operation, features a software defined magnetic transceiver. Typical communication range is approximately 30 m through rock.","PeriodicalId":231003,"journal":{"name":"2012 ACM/IEEE 11th International Conference on Information Processing in Sensor Networks (IPSN)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132014784","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: 94

Design and evaluation of a wireless magnetic-based proximity detection platform for indoor applications 基于无线磁的室内接近检测平台的设计与评估

2012 ACM/IEEE 11th International Conference on Information Processing in Sensor Networks (IPSN) Pub Date : 2012-04-16 DOI: 10.1145/2185677.2185735

Xiaofan Jiang, C. Liang, Kaifei Chen, Ben Zhang, Jeff Hsu, Jie Liu, Bin Cao, Feng Zhao

引用次数: 40

Poster abstract: Light-weight network health monitoring 海报摘要:轻量级网络健康监测

2012 ACM/IEEE 11th International Conference on Information Processing in Sensor Networks (IPSN) Pub Date : 2012-04-16 DOI: 10.1145/2185677.2185701

Yi-Hsuan Chiang, M. Keller, R. Lim, Polly Huang, J. Beutel

引用次数: 2

Collaborative calibration and sensor placement for mobile sensor networks 移动传感器网络的协同校准和传感器放置

2012 ACM/IEEE 11th International Conference on Information Processing in Sensor Networks (IPSN) Pub Date : 2012-04-16 DOI: 10.1145/2185677.2185687

Xiang Yun, L. Bai, R. Piedrahita, R. Dick, Q. Lv, M. Hannigan, L. Shang

{"title":"Collaborative calibration and sensor placement for mobile sensor networks","authors":"Xiang Yun, L. Bai, R. Piedrahita, R. Dick, Q. Lv, M. Hannigan, L. Shang","doi":"10.1145/2185677.2185687","DOIUrl":"https://doi.org/10.1145/2185677.2185687","url":null,"abstract":"Mobile sensing systems carried by individuals or machines make it possible to measure position- and time-dependent environmental conditions, such as air quality and radiation. The low-cost, miniature sensors commonly used in these systems are prone to measurement drift, requiring occasional re-calibration to provide accurate data. Requiring end users to periodically do manual calibration work would make many mobile sensing systems impractical. We therefore argue for the use of collaborative, automatic calibration among nearby mobile sensors, and provide solutions to the drift estimation and placement problems posed by such a system. Collaborative calibration opportunistically uses interactions among sensors to adjust their calibration functions and error estimates. We use measured sensor drift data to determine properties of time-varying drift error. We then develop (1) both optimal and heuristic algorithms that use information from multiple collaborative calibration events for error compensation and (2) algorithms for stationary sensor placement, which can further decrease system-wide drift error in a mobile, personal sensing system. We evaluated the proposed techniques using real-world and synthesized human motion traces. The most advanced existing work has 23.2% average sensing error, while our collaborative calibration technique reduces the error to 2.2%. The appropriate placement of accurate stationary sensors can further reduce this error.","PeriodicalId":231003,"journal":{"name":"2012 ACM/IEEE 11th International Conference on Information Processing in Sensor Networks (IPSN)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131091339","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: 53

mPuff: Automated detection of cigarette smoking puffs from respiration measurements mPuff:自动检测呼吸测量的香烟烟雾

2012 ACM/IEEE 11th International Conference on Information Processing in Sensor Networks (IPSN) Pub Date : 2012-04-16 DOI: 10.1145/2185677.2185741

A. Ali, Syed Monowar Hossain, K. Hovsepian, Md. Mahbubur Rahman, K. Plarre, Santosh Kumar

{"title":"mPuff: Automated detection of cigarette smoking puffs from respiration measurements","authors":"A. Ali, Syed Monowar Hossain, K. Hovsepian, Md. Mahbubur Rahman, K. Plarre, Santosh Kumar","doi":"10.1145/2185677.2185741","DOIUrl":"https://doi.org/10.1145/2185677.2185741","url":null,"abstract":"Smoking has been conclusively proved to be the leading cause of mortality that accounts for one in five deaths in the United States. Extensive research is conducted on developing effective smoking cessation programs. Most smoking cessation programs achieve low success rate because they are unable to intervene at the right moment. Identification of high-risk situations that may lead an abstinent smoker to relapse involve discovering the associations among various contexts that precede a smoking session or a smoking lapse. In the absence of an automated method, detection of smoking events still relies on subject self-report that is prone to failure to report and involves subject burden. Automated detection of smoking events in the natural environment can revolutionize smoking research and lead to effective intervention. In this paper, we present mPuff a novel system to automatically detect smoking puffs from respiration measurements, using which a model can be developed to automatically detect entire smoking episodes in the field. We introduce several new features from respiration that can help classify individual respiration cycles into smoking puffs or non-puffs. We then propose supervised and semi-supervised support vector models to detect smoking puffs. We train our models on data collected from 10 daily smokers and find that smoking puffs can be detected with an accuracy of 91% within a smoking session. We then consider respiration measurements during confounding events such as stress, speaking, and walking, and show that our model can still identify smoking puffs with an accuracy of 86.7%. The smoking detector presented here opens the opportunity to develop effective interventions that can be delivered on a mobile phone when and where smoking urges may occur, thereby improving the abysmal low rate of success in smoking cessation.","PeriodicalId":231003,"journal":{"name":"2012 ACM/IEEE 11th International Conference on Information Processing in Sensor Networks (IPSN)","volume":"120 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116211241","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: 121

Demo abstract: PhotoNet+: Outlier-resilient coverage maximization in visual sensing applications 演示摘要:PhotoNet+:视觉传感应用中的异常值弹性覆盖最大化

2012 ACM/IEEE 11th International Conference on Information Processing in Sensor Networks (IPSN) Pub Date : 2012-04-16 DOI: 10.1145/2185677.2185719

M. Y. S. Uddin, Md. Tanvir Al Amin, T. Abdelzaher, A. Iyengar, R. Govindan

{"title":"Demo abstract: PhotoNet+: Outlier-resilient coverage maximization in visual sensing applications","authors":"M. Y. S. Uddin, Md. Tanvir Al Amin, T. Abdelzaher, A. Iyengar, R. Govindan","doi":"10.1145/2185677.2185719","DOIUrl":"https://doi.org/10.1145/2185677.2185719","url":null,"abstract":"This demonstration illustrates a service for collection and delivery of images, in participatory camera networks, to maximize coverage while removing outliers (i.e., irrelevant images). Images, such as those taken by smart-phone users, represent an important and growing modality in social sensing applications. They can be used, for instance, to document occurrences of interest in participatory sensing cam-paigns, such as instances of graffiti on campus or invasive species in a park. In applications with a significant number of participants, the number of images collected may be very large. A key problem becomes one of data triage to reduce the number of images delivered to a manageable count, without missing important ones. In prior work, the authors presented a service, called PhotoNet [2], that reduces redundancy among delivered images by maximizing diversity. The current work significantly extends our previous effort by recognizing that diversity maximization often leads to selection of outliers; images that are visually different but not necessarily relevant, which in fact reduces the quality of the delivered image pool. We demonstrate a new prioritization technique that maximizes diversity among delivered pictures, while also reducing outliers.","PeriodicalId":231003,"journal":{"name":"2012 ACM/IEEE 11th International Conference on Information Processing in Sensor Networks (IPSN)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114666997","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

Demo abstract: AudioDAQ: Turning the mobile phone's headset port into a universal data acquisition interface 演示摘要:AudioDAQ:将手机耳机接口变成通用的数据采集接口

2012 ACM/IEEE 11th International Conference on Information Processing in Sensor Networks (IPSN) Pub Date : 2012-04-16 DOI: 10.1145/2185677.2185723

Andrew Robinson, S. Verma, P. Dutta

{"title":"Demo abstract: AudioDAQ: Turning the mobile phone's headset port into a universal data acquisition interface","authors":"Andrew Robinson, S. Verma, P. Dutta","doi":"10.1145/2185677.2185723","DOIUrl":"https://doi.org/10.1145/2185677.2185723","url":null,"abstract":"Smartphone peripherals like the Square card reader, Red-Eye mini, and HiJack platform suggest a growing interest in using the headset port for more than just headsets. How-ever, these peripherals only support sporadic activities in an efficient manner. Continuous sensing applications - like monitoring EKG signals - is possible but remains too inefficient for many realistic usage scenarios. We present Au-dioDAQ, a new sensor data acquisition platform. In contrast with prior work, AudioDAQ requires no hardware or software modifications on the phone, uses significantly less power, and allows continuous data capture over extended periods of time. The design is efficient because we draw all necessary power from the microphone bias voltage, and it is general because this voltage is present in every headset port. Data is modulated within the audible range, captured with the built-in voice recording app, and sent to a server for processing and storage. We show the viability of this approach by demonstrating an EKG monitor that can capture data continuously for hours.","PeriodicalId":231003,"journal":{"name":"2012 ACM/IEEE 11th International Conference on Information Processing in Sensor Networks (IPSN)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116869882","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

Low power, low delay: Opportunistic routing meets duty cycling 低功耗，低延迟:机会路由满足占空比

2012 ACM/IEEE 11th International Conference on Information Processing in Sensor Networks (IPSN) Pub Date : 2012-04-16 DOI: 10.1145/2185677.2185731

O. Landsiedel, E. Ghadimi, S. Duquennoy, M. Johansson

引用次数: 237

Poster abstract: Cyclic network automata for indoor sensor network 海报摘要:室内传感器网络的循环网络自动机

2012 ACM/IEEE 11th International Conference on Information Processing in Sensor Networks (IPSN) Pub Date : 2012-04-16 DOI: 10.1145/2185677.2185691

Yiqing Cai, R. Ghrist

引用次数: 0