2015 International Conference on Distributed Computing in Sensor Systems最新文献

An Efficient Agent Location Management for Wireless Sensor Networks 一种高效的无线传感器网络Agent位置管理方法

2015 International Conference on Distributed Computing in Sensor Systems Pub Date : 2015-08-24 DOI: 10.1109/HPCC-CSS-ICESS.2015.207

Hiroaki Fukuda, Paul Leger

引用次数: 1

Holmes: A Comprehensive Anomaly Detection System for Daily In-home Activities 福尔摩斯:一种用于日常家庭活动的综合异常检测系统

2015 International Conference on Distributed Computing in Sensor Systems Pub Date : 2015-06-10 DOI: 10.1109/DCOSS.2015.20

Enamul Hoque, Robert F. Dickerson, S. Preum, M. Hanson, Adam T. Barth, J. Stankovic

{"title":"Holmes: A Comprehensive Anomaly Detection System for Daily In-home Activities","authors":"Enamul Hoque, Robert F. Dickerson, S. Preum, M. Hanson, Adam T. Barth, J. Stankovic","doi":"10.1109/DCOSS.2015.20","DOIUrl":"https://doi.org/10.1109/DCOSS.2015.20","url":null,"abstract":"Advances in wireless sensor networks have enabled the monitoring of daily activities of elderly people. The goal of these monitoring applications is to learn normal behavior in terms of daily activities and look for any deviation, i.e., Anomalies, so that alerts can be sent to relatives or caregivers. However, human behavior is very complex, and many existing anomaly detection systems are too simplistic which cause many false alarms, resulting in unreliable systems. We present Holmes, a comprehensive anomaly detection system for daily in-home activities. Holmes accurately learns a resident's normal behavior by considering variability in daily activities based not only on a per day basis, but also considering specific days of the week, different time periods such as per week and per month, and collective, temporal, and correlation based features. This approach of learning complicated normal behaviors reduces false alarms. Also, based on resident and expert feedback, Holmes learns semantic rules that explain specific variations of activities in specific scenarios to further reduce false alarms. We evaluate Holmes using data collected from our own deployed system, public data sets, and data collected by a senior safety system provider company from an elderly resident's home. Our evaluation shows that compared to state of the art systems, Holmes reduces false positives and false negatives by at least 46% and 27%, respectively.","PeriodicalId":332746,"journal":{"name":"2015 International Conference on Distributed Computing in Sensor Systems","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2015-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115254386","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: 52

Personalization Using Sensors for Preliminary Human Detection in an IoT Environment 在物联网环境中使用传感器进行初步人体检测的个性化

2015 International Conference on Distributed Computing in Sensor Systems Pub Date : 2015-06-10 DOI: 10.1109/DCOSS.2015.40

L. Russell, R. Goubran, F. Kwamena

引用次数: 19

Joint Localization of Events and Sources in Social Networks 社交网络中事件与源的联合定位

2015 International Conference on Distributed Computing in Sensor Systems Pub Date : 2015-06-10 DOI: 10.1109/DCOSS.2015.14

P. Giridhar, Shiguang Wang, T. Abdelzaher, Jemin George, Lance M. Kaplan, R. Ganti

引用次数: 11

Getting Virtualized Wireless Sensor Networks' IaaS Ready for PaaS 让虚拟化无线传感器网络的IaaS为PaaS做好准备

2015 International Conference on Distributed Computing in Sensor Systems Pub Date : 2015-06-10 DOI: 10.1109/DCOSS.2015.39

Imran Khan, Fatima Zahra Errounda, Sami Yangui, R. Glitho, N. Crespi

{"title":"Getting Virtualized Wireless Sensor Networks' IaaS Ready for PaaS","authors":"Imran Khan, Fatima Zahra Errounda, Sami Yangui, R. Glitho, N. Crespi","doi":"10.1109/DCOSS.2015.39","DOIUrl":"https://doi.org/10.1109/DCOSS.2015.39","url":null,"abstract":"With the recent advances in sensor hardware and software, architectures for virtualized Wireless Sensor Networks (vWSNs) are now emerging. Through node- and network-level virtualization, vWSNs can be offered as Infrastructure-as-a-Service (IaaS) which can aid in realizing the true potential of Internet-of-Things (IoT). Cloud computing offers elastic provisioning of large-scale infrastructures to multiple concurrent users where Platform-as-a-Service (PaaS) interacts with IaaS in order to efficiently host and execute applications over these infrastructures. Amalgamating IoT with cloud computing potentially allows rapid application and service provisioning in an efficient, scalable and robust manner. However, interactions between vWSNs and PaaS are largely an unexplored area. Indeed, existing vWSN IaaS are not yet ready for PaaS. This paper proposes a vWSN IaaS architecture which is ready for interactions with PaaS. The proposed architecture is based on our previous works and is rooted in the fundamental differences between traditional IaaS and vWSN IaaS. We built a prototype using Java Sunspot as the WSN tool kit and made early performance measurements.","PeriodicalId":332746,"journal":{"name":"2015 International Conference on Distributed Computing in Sensor Systems","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2015-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129119991","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

A Roadmap for Cloud SECO: EcoData and the New Actors in IoT Era 云SECO路线图:EcoData和物联网时代的新参与者

2015 International Conference on Distributed Computing in Sensor Systems Pub Date : 2015-06-10 DOI: 10.1109/DCOSS.2015.35

Marcelo França, R. Santos, C. Werner

引用次数: 5

High Resolution Air Pollution Maps in Urban Environments Using Mobile Sensor Networks 使用移动传感器网络的城市环境高分辨率空气污染地图

2015 International Conference on Distributed Computing in Sensor Systems Pub Date : 2015-06-10 DOI: 10.1109/DCOSS.2015.32

A. Marjovi, A. Arfire, A. Martinoli

{"title":"High Resolution Air Pollution Maps in Urban Environments Using Mobile Sensor Networks","authors":"A. Marjovi, A. Arfire, A. Martinoli","doi":"10.1109/DCOSS.2015.32","DOIUrl":"https://doi.org/10.1109/DCOSS.2015.32","url":null,"abstract":"We propose three modeling methods using a mobile sensor network to generate high spatio-temporal resolution air pollution maps for urban environments. In our deployment in Lausanne (Switzerland), dedicated sensing nodes are anchored to the public buses and measure multiple air quality parameters including the Lung Deposited Surface Area (LDSA), a state of the art metric for quantifying human exposure to ultra fine particles. In this paper, our focus is on generating LDSA maps. In particular, since the sensor network coverage is spatially and temporally dynamic, we leverage models to estimate the values for the locations and times where the data are not available. We first discretize the area topologically based on the street segments in the city and we then propose the following three prediction models: i) a log-linear regression model based on nine meteorological (e.g., Temperature and precipitations) and gaseous (e.g., NO 2 and CO) explanatory variables measured at two static stations in the city, ii) a novel network-based log-linear regression model that takes into account the LDSA values of the most correlated streets and also the nine explanatory variables mentioned above, iii) a novel Probabilistic Graphical Model (PGM) in which each street segment is considered as one node of the graph, and inference on conditional joint probability distributions of the nodes results in estimating the values in the nodes of interest. More than 44 millions of geo- and time-stamped LDSA measurements (i.e., More than 14 months of real data) are used in this paper to evaluate the proposed modeling approaches in various time resolutions (hourly, daily, weekly and monthly). The results show that the three approaches bring significant improvements in R2, RMSE and FAC metrics compared to a baseline K-Nearest Neighbor method.","PeriodicalId":332746,"journal":{"name":"2015 International Conference on Distributed Computing in Sensor Systems","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2015-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129017983","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

System Support for Self-Adaptive Cyber-Physical Systems 自适应信息物理系统的系统支持

2015 International Conference on Distributed Computing in Sensor Systems Pub Date : 2015-06-10 DOI: 10.1109/DCOSS.2015.33

Marcio E. F. Maia, R. Andrade

引用次数: 1

Localization Using Anonymous Measurements 使用匿名测量进行定位

2015 International Conference on Distributed Computing in Sensor Systems Pub Date : 2015-06-10 DOI: 10.1109/DCOSS.2015.23

Niklas Wirström, A. Behboodi, Filip Lemic, T. Voigt, A. Wolisz

{"title":"Localization Using Anonymous Measurements","authors":"Niklas Wirström, A. Behboodi, Filip Lemic, T. Voigt, A. Wolisz","doi":"10.1109/DCOSS.2015.23","DOIUrl":"https://doi.org/10.1109/DCOSS.2015.23","url":null,"abstract":"Range-based IEEE 802.15.4 localization systems currently require relatively high anchor density for indoor deployments. It can therefore be beneficial to use external sources of transmission as additional anchors. We present methods for using WiFi beacons to improve localization accuracy of a range-based IEEE 802.15.4 localization system in cases where only two IEEE 802.15.4 anchor nodes are available. We do this by identifying WiFi beacons from RSSI traces that we dynamically sample online, and applying fingerprinting and range-based methods using the RSSI values of the identified beacons. However, because the data of the WiFi traffic is not decodable by the IEEE 802.15.4 devices, these RSSI measurements lack identifiers that can associate them to specific WiFi Access Points (APs). Therefore, novel methods are required for both fingerprinting and range-based approaches to allow for these additional WiFi APs to be used as anchors. We show by using real-world measurements that our beacon identification method gives a false-positive rate of only 3%, and that if the range measurements to the IEEE 802.15.4 anchors are relatively accurate, with a standard deviation of 1 and 3 m, a localization accuracy improvement of 47% and 24% can be gained, respectively.","PeriodicalId":332746,"journal":{"name":"2015 International Conference on Distributed Computing in Sensor Systems","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2015-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133136078","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: 9

Achieving Human-Aware Seamless Handoff 实现人类感知的无缝切换

2015 International Conference on Distributed Computing in Sensor Systems Pub Date : 2015-06-10 DOI: 10.1109/DCOSS.2015.34

David Nunes, Duarte M. G. Raposo, David Silva, Pedro Carmona, J. Silva

引用次数: 1