2016 15th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN)最新文献

{"title":"Demonstration Abstract: A Novel Human Tracking and Localization System Based on Pyroelectric Infrared Sensors","authors":"Yilong Li, Dengfu Li, Yun Cheng, Guo Liu, J. Niu, Lu Su","doi":"10.1109/IPSN.2016.7460665","DOIUrl":"https://doi.org/10.1109/IPSN.2016.7460665","url":null,"abstract":"In this Demo, we present the design and implementation of a novel human localization and tracking system based on pyroelectric infrared(PIR) sensors. It is a new approach to setup several low-cost sensors to improve the simplicity of deployment. We first present a novel design in mechanical architecture, circuit board and sensors which enables our PIR sensor based system to detect the moving objects and track human beings in real time. Different from the previous work which only adopts binary output, we further explore the usage of analog signals from the sensors. This improvement is beneficial to accurate estimation of the distance between the device and human body. We have implemented several prototypes for evaluation and demonstration. According to the experimental results, our system can achieve an accuracy of 0.113m in an area of 12m × 6m.","PeriodicalId":137855,"journal":{"name":"2016 15th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN)","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127398259","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}

{"title":"Poster Abstract: Piezoelectric Energy Harvesting Powered WSN for Aircraft Structural Health Monitoring","authors":"A. Somov, Z. Chew, Tingwen Ruan, Qiang Li, M. Zhu","doi":"10.1109/IPSN.2016.7460711","DOIUrl":"https://doi.org/10.1109/IPSN.2016.7460711","url":null,"abstract":"In this work, we present the design and prototype of a selfpowered sensor node for the aircraft structural health monitoring. The sensor node is powered by the ambient vibrations generated by the aircraft wings. Sensing devices perform the comprehensive condition monitoring of structures and systems, as well as measurement of environmental parameters, e.g. ambient temperature, ionizing radiation levels, to help operators in assessing the aircraft status at every stage of its mission. With the wireless communication the sensor nodes can be networked with no need for wiring which implies extra weight on board.","PeriodicalId":137855,"journal":{"name":"2016 15th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127522205","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}

{"title":"Accurate Power Quality Monitoring in Microgrids","authors":"Zhichuan Huang, Ting Zhu, Haoyang Lu, Wei Gao","doi":"10.1109/IPSN.2016.7460660","DOIUrl":"https://doi.org/10.1109/IPSN.2016.7460660","url":null,"abstract":"Traditional power grid is not resistant to severe weather conditions, especially in remote areas. For some areas with few people, such as islands, it is difficult and expensive to maintain their connectivity to the traditional power grid. Therefore, a self-sustainable microgrid is desired. However, given the limited local energy storage and energy generation, it is extremely challenging for a microgrid to balance the power demand and generation in real-time. To realize the real-time power quality monitoring, the power quality information of microgrid, such as voltage, frequency and phase angle in each home, needs to be collected in real- time. Furthermore, the unreliable sensing results and data collection in a microgrid make the real-time data collection more difficult. To address these challenges, we designed an accurate real-time power quality data sensing hardware to sense the voltage, frequency and phase angle in each home. A novel data management technique is also proposed to reconstruct the missing data caused by unreliable sensing. We implemented our system over off-the-shelf smartphones with a few peripheral hardware components, and realized an accuracy of 1.7 mHz and 0.01 rad for frequency and phase angle monitoring, respectively. We also show our data management technique can reconstruct the missing data with more than 99% accuracy.","PeriodicalId":137855,"journal":{"name":"2016 15th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116593558","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}

{"title":"HeadScan: A Wearable System for Radio-Based Sensing of Head and Mouth-Related Activities","authors":"Biyi Fang, N. Lane, Mi Zhang, F. Kawsar","doi":"10.1109/IPSN.2016.7460677","DOIUrl":"https://doi.org/10.1109/IPSN.2016.7460677","url":null,"abstract":"The popularity of wearables continues to rise. However, their functionalities and applications are constrained by the types of sensors that are currently available. Accelerometers and gyroscopes struggle to capture complex user activities. Microphones and image sensors are more powerful but capture privacy sensitive information. Physiological sensors are obtrusive to users since they often require skin contact and must be placed at certain body positions to function. In contrast, radio- based sensing uses wireless radio signals to capture movements of different parts of body caused by human activities and therefore provides a contactless and privacy-preserving approach to detect and monitor human activities. In this paper, we contribute to the search for a new sensing modality for the next generation of wearable devices by exploring the feasibility of radio-based human activity sensing and recognition in the context of wearable setting. We envision radio-based sensing has the potential to fundamentally transform wearables as we currently know them. As the first step to achieve our vision, we have designed and developed HeadScan, a first- of-its-kind wearable for radio-based sensing of a number of human activities that involve head and mouth movements. HeadScan only requires a pair of small antennas placed on the shoulder and collar and one wearable unit worn on the arm or the belt of the user. HeadScan uses the fine-grained CSI measurements extracted from the radio signals and incorporates a radio signal processing pipeline that converts the raw CSI measurements into the targeted human activities. To examine the feasibility and performance of HeadScan, we have collected about 50.5 hours data from seven users. Our wide-range experiments including comparisons to a conventional skin-contact audio-based sensing approach to tracking the same set of head and mouth-related activities highlight the enormous potential of our radio-based sensing approach and provide guidance to future explorations.","PeriodicalId":137855,"journal":{"name":"2016 15th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN)","volume":"82 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131171046","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}

{"title":"Ph.D. Forum Abstract: Ambient Backscatter Communication","authors":"C. Pérez-Penichet","doi":"10.1109/IPSN.2016.7460685","DOIUrl":"https://doi.org/10.1109/IPSN.2016.7460685","url":null,"abstract":"Ambient backscatter communication, where energy and wireless carrier are extracted from existing radio signals, are very attractive to the Internet of Things. This technology is emerging as an enabler for battery-less sensor nodes that can operate unattended for extended periods of time. Their capacity to operate without maintenance make them attractive for operation in situations where nodes might not be easily accessible. My research will help turn this vision into reality by advancing key areas that remain unexplored in this field.","PeriodicalId":137855,"journal":{"name":"2016 15th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN)","volume":"338 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115883603","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}

{"title":"Highly Reliable Signal Strength-Based Boundary Crossing Localization in Outdoor Time-Varying Environments","authors":"Peter Hillyard, Anh Luong, Neal Patwari","doi":"10.5555/2959355.2959361","DOIUrl":"https://doi.org/10.5555/2959355.2959361","url":null,"abstract":"Detecting and locating outdoor border crossing events is valuable information in curbing drug trafficking, reducing poaching, and protecting high-asset equipment and goods. However, border sensing is notoriously challenging, prone to false alarms and missed detections, with serious consequences. Weather events, like rain and wind, make it even more challenging to maintain a low level of missed detections and false alarms. In this paper, we propose and test an automated system of wireless sensors which uses received signal strength (RSS) measurements to localize where a border crossing occurs. In addition, we develop new RSS-based statistical models and methods that can quickly be initialized and updated by using link RSS statistics to adapt to time-varying RSS changes due to weather events. These models are implemented in two new classifiers that localize border crossings with few missed detections and false alarms. We validate our proposed methods by implementing one of the classifiers in a three month long deployment of a solar-powered, real-time system that captures images of the border for ground truth validation. Furthermore, over 75 hours of RSS measurements are collected with an emphasis on collection during weather events, like rain and wind, during which we expect our classifiers to perform the worst. We demonstrate that the proposed classifiers outperform four other baseline classifiers in terms of false alarm probability by 1 to 4 orders of magnitude, and in terms of the misclassification probability by 1 to 2 orders of magnitude.","PeriodicalId":137855,"journal":{"name":"2016 15th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121041576","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}

{"title":"Demonstration Abstract: Automated Resource Allocation for T-Res","authors":"S. Gaur, R. Rangarajan, E. Tovar","doi":"10.1109/IPSN.2016.7460667","DOIUrl":"https://doi.org/10.1109/IPSN.2016.7460667","url":null,"abstract":"This paper presents a demo of an extension developed to support an existing programming abstraction for IoT: mT-Res. mT-Res is an extension of the T-Res programming abstraction, which allows users to write applications using a web framework independent of resources. The paper describes an automated mechanism for allocate resources to such applications and adapt to changes in those resources.","PeriodicalId":137855,"journal":{"name":"2016 15th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN)","volume":"246 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122347326","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}

{"title":"Ph.D. Forum Abstract: Increasing Robustness in WSN Using Software Defined Network Architecture","authors":"Charalampos Orfanidis","doi":"10.1109/IPSN.2016.7460687","DOIUrl":"https://doi.org/10.1109/IPSN.2016.7460687","url":null,"abstract":"With the advent of Internet of Things (IoT) Wireless Sensor Networks (WSN) seem to play key a role in the connectivity of smart objects. The limited resources of WSN devices and the increased demand for new and more sophisticated services call for new and more efficient architectures. The new architectures should ensure energy-efficiency, flexibility, reliability and robustness. We believe that using SDN principles in WSN will improve many important features, such as routing, robustness and reconfiguration of the networking as well as the applications. In this research, We will find ways to increase the robustness of WSN using an SDN inspired architecture and a statistical model. The initial plan is to use statistical machine learning to look for periodic interference and other periodic behaviour in typical WSN networks.","PeriodicalId":137855,"journal":{"name":"2016 15th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131750221","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}

{"title":"Demonstration Abstract: IoTSuite - A Framework to Design, Implement, and Deploy IoT Applications","authors":"Saurabh Chauhan, Pankesh Patel, A. Sureka, Flávia Coimbra Delicato, S. Chaudhary","doi":"10.1109/IPSN.2016.7460669","DOIUrl":"https://doi.org/10.1109/IPSN.2016.7460669","url":null,"abstract":"Internet of Things (IoT) application development is technically challenging and complex due to several factors such as the presence of different IoT protocols, interoperability issues, lack of industry standards and dealing with the heterogeneity that exists both in Physical and Internet worlds. Furthermore, developers involved in the IoT application development have to address issues pertaining to different life-cycles ranging from design, implementation to deployment (deployment complexities due to the possibilities of wide range of devices). Manual effort involved in all above three phases for heterogeneous devices is a time-consuming and error-prone process. We demonstrate IoTSuite which is an application development platform consisting of a suite of tools motivated by the need to simplify IoT application development. The IoTSuite supports several features such as automatic code generation and integration with a set of modeling languages. It takes high-level specification as input that abstract heterogeneity related complexity. It integrates compiler and deployment module to provide automation at different phases of application development process.","PeriodicalId":137855,"journal":{"name":"2016 15th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122859218","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}

{"title":"Demonstration Abstract: Platform for Benchmarking RF-Based Indoor Localization Solutions","authors":"Tom Van Haute, E. D. Poorter, Filip Lemic, V. Handziski, Niklas Wirström, A. Wolisz, I. Moerman","doi":"10.1109/IPSN.2016.7460670","DOIUrl":"https://doi.org/10.1109/IPSN.2016.7460670","url":null,"abstract":"This demonstration presents a user-friendly Web-based platform that supports intuitive remote benchmarking of different indoor localization solutions. It reduces the barriers for experimental evaluation and fair comparison of their performance across a set of testing environments. The platform is aimed at addressing the limitations in the current praxis of publishing indoor localization research evaluated only in local, potentially biased environments. To this end, it provides a holistic support for the benchmarking process offering: (i) multiple pre-collected raw data-traces from different RF technologies, (ii) high-level interface to control remote wireless testbed facilities, and (iii) a set of tools for creating, storing, comparing and visualizing the performance results of multiple indoor localization solutions.","PeriodicalId":137855,"journal":{"name":"2016 15th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127814495","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}