2012 ACM/IEEE 11th International Conference on Information Processing in Sensor Networks (IPSN)最新文献_第3页

Poster abstract: Detecting faulty street lamps with illumination maps 海报摘要:用照明地图检测故障路灯

2012 ACM/IEEE 11th International Conference on Information Processing in Sensor Networks (IPSN) Pub Date : 2012-04-16 DOI: 10.1109/IPSN.2012.6920966

Huang-Bin Huang, Huang-Chen Lee

{"title":"Poster abstract: Detecting faulty street lamps with illumination maps","authors":"Huang-Bin Huang, Huang-Chen Lee","doi":"10.1109/IPSN.2012.6920966","DOIUrl":"https://doi.org/10.1109/IPSN.2012.6920966","url":null,"abstract":"Badly lit roads usually lead to vehicle accidents and encourage crime in the area. Therefore, it is important to detect faulty street lamps rapidly and report them to related authorities to keep roads safe. Currently, communities still mostly depend on electrical inspectors to check street lamps regularly, which may result in long time delays for repair. Recent studies focus on add networking capability into street lamp poles to enable real-time reports on the healthy status of lamps. However, such a smart system increases costs to add sensors and network modules in every street lamp; therefore, it is nearly impossible to realize this kind of system in a short term. We propose a new method to detect faulty lamps. We designed equipment that could be installed on fixed bus routes and collect the lighting intensity along the routes. We created illumination maps in meter-level resolution. The differences between illumination maps created at different times can help identify the changes of lighting intensity in specific locations. We executed a proof-of-concept experiment that shows our method is feasible. This method can be extended to a citywide scale at low cost. As a result, this would detect faulty street lamps along main roads and prevent accidents and crime by shortening the duration of badly lit streets.","PeriodicalId":231003,"journal":{"name":"2012 ACM/IEEE 11th International Conference on Information Processing in Sensor Networks (IPSN)","volume":"16 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":"114562480","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

Poster abstract: Distributed sparse approximation for frog sound classification 海报摘要:蛙声分类的分布稀疏近似

2012 ACM/IEEE 11th International Conference on Information Processing in Sensor Networks (IPSN) Pub Date : 2012-04-16 DOI: 10.1145/2185677.2185699

Bo Wei, Mingrui Yang, R. Rana, C. Chou, W. Hu

引用次数: 6

Demo abstract: An energy harvesting nonvolatile sensor node and its application to distributed moving object detection 摘要:一种能量采集非易失性传感器节点及其在分布式运动目标检测中的应用

2012 ACM/IEEE 11th International Conference on Information Processing in Sensor Networks (IPSN) Pub Date : 2012-04-16 DOI: 10.1145/2185677.2185722

Yongpan Liu, Yiqun Wang, Hongyang Jia, Shan Su, Jinghuan Wen, Wenzhu Zhang, Lin Zhang, Huazhong Yang

引用次数: 2

Simbeeotic: A simulator and testbed for micro-aerial vehicle swarm experiments 模拟:微型飞行器群实验的模拟器和试验台

2012 ACM/IEEE 11th International Conference on Information Processing in Sensor Networks (IPSN) Pub Date : 2012-04-16 DOI: 10.1145/2185677.2185685

Bryan Kate, J. Waterman, Karthik Dantu, M. Welsh

引用次数: 36

Improving RF-based device-free passive localization in cluttered indoor environments through probabilistic classification methods 利用概率分类方法改进室内杂乱环境下基于射频的无设备被动定位

2012 ACM/IEEE 11th International Conference on Information Processing in Sensor Networks (IPSN) Pub Date : 2012-04-16 DOI: 10.1145/2185677.2185734

Chenren Xu, Bernhard Firner, Yanyong Zhang, R. Howard, Jun Li, Xiaodong Lin

{"title":"Improving RF-based device-free passive localization in cluttered indoor environments through probabilistic classification methods","authors":"Chenren Xu, Bernhard Firner, Yanyong Zhang, R. Howard, Jun Li, Xiaodong Lin","doi":"10.1145/2185677.2185734","DOIUrl":"https://doi.org/10.1145/2185677.2185734","url":null,"abstract":"Radio frequency based device-free passive localization has been proposed as an alternative to indoor localization because it does not require subjects to wear a radio device. This technique observes how people disturb the pattern of radio waves in an indoor space and derives their positions accordingly. The well-known multipath effect makes this problem very challenging, because in a complex environment it is impractical to have enough knowledge to be able to accurately model the effects of a subject on the surrounding radio links. In addition, even minor changes in the environment over time change radio propagation sufficiently to invalidate the datasets needed by simple fingerprint-based methods. In this paper, we develop a fingerprinting-based method using probabilistic classification approaches based on discriminant analysis. We also devise ways to mitigate the error caused by multipath effect in data collection, further boosting the classification likelihood. We validate our method in a one-bedroom apartment that has 8 transmitters, 8 receivers, and a total of 32 cells that can be occupied. We show that our method can correctly estimate the occupied cell with a likelihood of 97.2%. Further, we show that the accuracy remains high, even when we significantly reduce the training overhead, consider fewer radio devices, or conduct a test one month later after the training. We also show that our method can be used to track a person in motion and to localize multiple people with high accuracies. Finally, we deploy our method in a completely different commercial environment with two times the area achieving a cell estimation accuracy of 93.8% as an evidence of applicability to multiple environments.","PeriodicalId":231003,"journal":{"name":"2012 ACM/IEEE 11th International Conference on Information Processing in Sensor Networks (IPSN)","volume":"65 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":"121710920","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: 127

Poster abstract: Crane charades: Behavior identification via backpack mounted sensor platforms 海报摘要:起重机字谜:通过背包安装的传感器平台识别行为

2012 ACM/IEEE 11th International Conference on Information Processing in Sensor Networks (IPSN) Pub Date : 2012-04-16 DOI: 10.1145/2185677.2185706

William P. Bennett, M. Fitzpatrick, David J. Anthony, M. Vuran, Anne Lacy

引用次数: 2

Grafting energy-harvesting leaves onto the sensornet tree 将收集能量的叶子嫁接到传感器树上

2012 ACM/IEEE 11th International Conference on Information Processing in Sensor Networks (IPSN) Pub Date : 2012-04-16 DOI: 10.1145/2185677.2185733

Lohit Yerva, Bradford Campbell, Apoorva Bansal, T. Schmid, P. Dutta

{"title":"Grafting energy-harvesting leaves onto the sensornet tree","authors":"Lohit Yerva, Bradford Campbell, Apoorva Bansal, T. Schmid, P. Dutta","doi":"10.1145/2185677.2185733","DOIUrl":"https://doi.org/10.1145/2185677.2185733","url":null,"abstract":"We study the problem of augmenting battery-powered sensornet trees with energy-harvesting leaf nodes. Our results show that leaf nodes that are smaller in size than today's typical battery-powered sensors can harvest enough energy from ambient sources to acquire and transmit sensor readings every minute, even under poor lighting conditions. However, achieving this functionality, especially as leaf nodes scale in size, requires new platforms, protocols, and programming. Platforms must be designed around low-leakage operation, offer a richer power supply control interface for system software, and employ an unconventional energy storage hierarchy. Protocols must not only be low-power, but they must also become low-energy, which affects initial and ongoing synchronization, and periodic communications. Systems programming, and especially bootup and communications, must become low-latency, by eliminating conservative timeouts and startup dependencies, and embracing high-concurrency. Applying these principles, we show that robust, indoor, perpetual sensing is viable using off-the-shelf technology.","PeriodicalId":231003,"journal":{"name":"2012 ACM/IEEE 11th International Conference on Information Processing in Sensor Networks (IPSN)","volume":"117 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":"124326458","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: 62

Demo abstract: Free-form text summarization in social sensing 演示摘要:社会感知中的自由格式文本摘要

2012 ACM/IEEE 11th International Conference on Information Processing in Sensor Networks (IPSN) Pub Date : 2012-04-16 DOI: 10.1109/IPSN.2012.6920936

Hongzhao Huang, S. Anzaroot, Heng Ji, H. Le, Dong Wang, T. Abdelzaher

{"title":"Demo abstract: Free-form text summarization in social sensing","authors":"Hongzhao Huang, S. Anzaroot, Heng Ji, H. Le, Dong Wang, T. Abdelzaher","doi":"10.1109/IPSN.2012.6920936","DOIUrl":"https://doi.org/10.1109/IPSN.2012.6920936","url":null,"abstract":"This demonstration illustrates an information aggregation and summarization service for social sensing applications. Social sensing, using mobile phones and other networked devices in the possession of individuals, has gained significant popularity in recent years. In some cases, the information collected is structured, such as numeric data from temperature sensors, accelerometers, or GPS devices. Aggregate statistical properties, such as expected values, standard de-viations, and outliers, can be easily computed, and can be used to summarize the data set. In other cases, however, the collection includes unstructured data types such as text or images with textual annotations. The concepts of expected values and outliers are harder to define, yet it is still important to be able to aggregate and summarize the data. We demonstrate a system which can automatically summarize real-time textual data common to social sensing applications. Specifically, we focus on text messages that describe events in the environment. The output of our service provides a reliable summary of observations that can be used in many contexts from military intelligence to participatory sensing campaigns.","PeriodicalId":231003,"journal":{"name":"2012 ACM/IEEE 11th International Conference on Information Processing in Sensor Networks (IPSN)","volume":"35 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":"122933831","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

Poster abstract: Effectively modeling data from large-area community sensor networks 海报摘要:有效建模来自大面积社区传感器网络的数据

2012 ACM/IEEE 11th International Conference on Information Processing in Sensor Networks (IPSN) Pub Date : 2012-04-16 DOI: 10.1145/2185677.2185694

Saket K. Sathe, Sebastian Cartier, D. Chakraborty, K. Aberer

引用次数: 0

Poster abstract: Cybermussels: A biological sensor network using freshwater mussels 海报摘要:网络贻贝:利用淡水贻贝的生物传感器网络

2012 ACM/IEEE 11th International Conference on Information Processing in Sensor Networks (IPSN) Pub Date : 2012-04-16 DOI: 10.1145/2185677.2185703

H. Baidoo-Williams, J. Bril, Mehmed B. Diken, J. Durst, J. McClurg, S. Dasgupta, C. Just, A. Kruger, R. Mudumbai, T. Newton

引用次数: 3