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2018 17th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN)最新文献

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Codecast: Supporting Data Driven In-Network Processing for Low-Power Wireless Sensor Networks 编解码器:支持低功耗无线传感器网络的数据驱动网络处理
2018 17th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN) Pub Date : 2018-04-11 DOI: 10.1109/IPSN.2018.00014
Mobashir Mohammad, M. Chan
{"title":"Codecast: Supporting Data Driven In-Network Processing for Low-Power Wireless Sensor Networks","authors":"Mobashir Mohammad, M. Chan","doi":"10.1109/IPSN.2018.00014","DOIUrl":"https://doi.org/10.1109/IPSN.2018.00014","url":null,"abstract":"This paper presents Codecast, a many-to-many communication protocol for low-power sensor networks that provide high throughput and reliable data sharing from multiple sources to multiple destinations of a network. Codecast uses physical layer capture on concurrent transmissions for high spatial reuse and a network-assisted network coding for high throughput as the core techniques. Our extensive evaluation in two large-scale testbed deployments (Indriya and Flocklab) shows that Codecast provides up to 4x the throughput of Chaos and 1.8x the throughput of LWB for many-to-many data communication. Finally, we demonstrate the utility of Codecast through a distributed channel selection mechanism and a link state based routing protocol.","PeriodicalId":358074,"journal":{"name":"2018 17th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122823804","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: 33
Continuous Wireless Link Rates for Internet of Things 物联网的连续无线链路速率
2018 17th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN) Pub Date : 2018-04-11 DOI: 10.1109/IPSN.2018.00012
Haoyang Lu, Wei Gao
{"title":"Continuous Wireless Link Rates for Internet of Things","authors":"Haoyang Lu, Wei Gao","doi":"10.1109/IPSN.2018.00012","DOIUrl":"https://doi.org/10.1109/IPSN.2018.00012","url":null,"abstract":"Internet of Things has stringent requirements on the wireless network throughput for timely transmission of the big data being produced. In order to maximize the throughput over dynamic fluctuations of wireless channel quality, current wireless systems adapt the link rate to the instantaneous channel condition, but fail to fully utilize the channel capacity due to the discrete choices of available link rates and the gap between these rates. Instead, in this paper we present vMod, a lightweight and practical solution towards maximum wireless network throughput by redesigning the wireless link rates from discrete to continuous. The key idea of vMod is to modulate a fractional number of data bits into each symbol by employing the Variable-Length Code (VLC), which is able to statistically yield any link rate. We implemented vMod on software-defined radio platforms. Experiment results demonstrate that under highly dynamic wireless network conditions, vMod greatly improves the WiFi throughput by 30% over a single narrowband link, but incurs only negligible overhead.","PeriodicalId":358074,"journal":{"name":"2018 17th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN)","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133254082","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: 8
Poster Abstract: Long-Term Energy-Neutral Operation of Solar Energy-Harvesting Sensor Nodes under Time-Varying Utility 摘要:时变效用下太阳能收集传感器节点的长期能量中性运行
2018 17th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN) Pub Date : 2018-04-01 DOI: 10.1109/IPSN.2018.00041
Kai Geissdoerfer, R. Jurdak, B. Kusy
{"title":"Poster Abstract: Long-Term Energy-Neutral Operation of Solar Energy-Harvesting Sensor Nodes under Time-Varying Utility","authors":"Kai Geissdoerfer, R. Jurdak, B. Kusy","doi":"10.1109/IPSN.2018.00041","DOIUrl":"https://doi.org/10.1109/IPSN.2018.00041","url":null,"abstract":"Sensor networks increasingly rely on harvesting energy from the environment to sense, process, and transmit data. Online energy availability forecasting and energy management are critical to ensure long-term energy-neutral operation of battery-powered energy-harvesting sensor nodes. Existing methods focus on applications with time-invariant utility and custom-tailored hardware platforms, which limits their effectiveness across diverse application domains, different platforms, and in the face of aging hardware components. To address these limitations, we formulate an optimisation problem with respect to time-varying utility under the given hardware constraints. We also present PREACT, an online energy-management algorithm that approximates the optimal solution to the optimisation problem by incorporating long-term energy forecasting.","PeriodicalId":358074,"journal":{"name":"2018 17th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134173291","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: A Tool to Access and Visualize Classroom Attendance Data from a Smart Campus 摘要:智能校园中课堂出勤数据的访问和可视化工具
2018 17th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN) Pub Date : 2018-04-01 DOI: 10.1109/ipsn.2018.00033
Thanchanok Sutjarittham, Hassan Habibi Gharakheili, S. Kanhere, V. Sivaraman
{"title":"Demo Abstract: A Tool to Access and Visualize Classroom Attendance Data from a Smart Campus","authors":"Thanchanok Sutjarittham, Hassan Habibi Gharakheili, S. Kanhere, V. Sivaraman","doi":"10.1109/ipsn.2018.00033","DOIUrl":"https://doi.org/10.1109/ipsn.2018.00033","url":null,"abstract":"This demo presents our web-tool to access and visualize student attendance data obtained from instrumenting a pilot set of classrooms with people counting sensors in a large university campus in Sydney, Australia. We showcase two aspects: (1) how to access and process our open data-set containing time-stamped occupancy counts for 9 lecture rooms of varying size in which over 250 courses are conducted over a 12-week semester; and (2) visualizing occupancy at multiple spatial (per-room and per-course) and temporal (over a day, week, or semester) granularities, enabling new insights into student attendance and room usage patterns.","PeriodicalId":358074,"journal":{"name":"2018 17th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN)","volume":"79 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114584810","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
Poster Abstract: Building IoT Nodes - A Flexible Approach 海报摘要:构建物联网节点——一种灵活的方法
2018 17th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN) Pub Date : 2018-04-01 DOI: 10.1109/ipsn.2018.00040
Shaunak Manurkar, K. Ramamritham
{"title":"Poster Abstract: Building IoT Nodes - A Flexible Approach","authors":"Shaunak Manurkar, K. Ramamritham","doi":"10.1109/ipsn.2018.00040","DOIUrl":"https://doi.org/10.1109/ipsn.2018.00040","url":null,"abstract":"Ubiquitous sensing enabled by Wireless Sensor Network(WSN) technologies offers the ability to measure, infer and understand environmental parameters and respond to changes. In this paper, we describe our Internet of Things(IoT)-based intelligent solution designed to reduce the energy consumption in existing buildings without affecting the thermal comfort of the users. We have designed IoT nodes which can be used for sensing necessary parameters in any environment. Based on the measured values they send appropriate control commands to the appliances such as lights, fans or ACs, making the infrastructure smart, which helps us achieve our goal of reducing the energy consumption. We have deployed our IoT nodes in four classrooms in our academic building to make them smart.","PeriodicalId":358074,"journal":{"name":"2018 17th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126334753","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
Poster Abstract: An Iterative Approach for Non-Line-of-Sight Error Mitigation in UWB Localization 摘要:超宽带定位中非视距误差缓解的迭代方法
2018 17th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN) Pub Date : 2018-04-01 DOI: 10.1109/ipsn.2018.00021
Jiwoong Park, Sajida Imran, Young-Bae Ko, Chang-Eun Lee, Sang-Joon Park
{"title":"Poster Abstract: An Iterative Approach for Non-Line-of-Sight Error Mitigation in UWB Localization","authors":"Jiwoong Park, Sajida Imran, Young-Bae Ko, Chang-Eun Lee, Sang-Joon Park","doi":"10.1109/ipsn.2018.00021","DOIUrl":"https://doi.org/10.1109/ipsn.2018.00021","url":null,"abstract":"Ultrawideband (UWB) based localization has the potential to be used in a variety of applications due to its high accuracy. For robust and high performance in real environment, the most challenging issue is the detection and mitigation of noise from non-line-of-sight (NLOS) signals. Current researches use channel state information, particle or Kalman filter, and statistics based approaches for the NLOS noise detection and mitigation. These solutions show high accuracy in some applications; however, they need additional hardware and work in static environment only. We propose an NLOS mitigation algorithm that does not need any additional hardware andworks in dynamic environment with mobile obstacles. The main idea of the algorithm are to estimate the NLOS bias by repetitively comparing the intersection of the hyperbolas with intersections of circles. The proposed approach is tested for Decawave UWB testbed. Experimental results show that the proposed scheme works well in different dynamic scenarios as compared to the localization scheme without NLOS noise mitigation.","PeriodicalId":358074,"journal":{"name":"2018 17th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN)","volume":"108 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114769214","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
Demo Abstract: PosePair: Pairing IoT Devices through Visual Human Pose Analysis 摘要:PosePair:通过视觉人体姿势分析对物联网设备进行配对
2018 17th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN) Pub Date : 2018-04-01 DOI: 10.1109/IPSN.2018.00035
Carlos Ruiz, Shijia Pan, Alberto Sadde, H. Noh, Pei Zhang
{"title":"Demo Abstract: PosePair: Pairing IoT Devices through Visual Human Pose Analysis","authors":"Carlos Ruiz, Shijia Pan, Alberto Sadde, H. Noh, Pei Zhang","doi":"10.1109/IPSN.2018.00035","DOIUrl":"https://doi.org/10.1109/IPSN.2018.00035","url":null,"abstract":"In the Internet of Things (IoT) paradigm, it is important to easily setup and control devices, which is achieved by pairing. In this work, we present a novel pairing scheme that utilizes heterogeneous sensing. The core idea is that devices with different sensing capabilities can still detect common information about their user. We demonstrate this idea through an example application consisting of a camera and IoT devices with inertial sensors. As the user holds a device and moves it around, the camera captures the human's pose and compares it to the IoT device motion. If the motion features are similar enough, the device can be successfully paired to the camera's network.","PeriodicalId":358074,"journal":{"name":"2018 17th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN)","volume":"133 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114853581","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: 4
Poster Abstract: An Efficient Approach to Multisuperframe Tuning for DSME Networks 摘要:一种有效的DSME网络多超帧调谐方法
2018 17th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN) Pub Date : 2018-04-01 DOI: 10.1109/IPSN.2018.00044
Harrison Kurunathan, Ricardo Severino, A. Koubâa, E. Tovar
{"title":"Poster Abstract: An Efficient Approach to Multisuperframe Tuning for DSME Networks","authors":"Harrison Kurunathan, Ricardo Severino, A. Koubâa, E. Tovar","doi":"10.1109/IPSN.2018.00044","DOIUrl":"https://doi.org/10.1109/IPSN.2018.00044","url":null,"abstract":"Deterministic Synchronous Multichannel Extension (DSME) is a prominent MAC behavior first introduced in IEEE 802.15.4e that supports deterministic guarantees using its multisuperframe structure. DSME also facilitates techniques like multi-channel and CAP reduction that help to increase the number of available guaranteed timeslots in a network. However, no tuning of these functionalities in dynamic scenarios is supported in the standard. In this paper, we present an effective multisuperframe tuning technique that also helps to utilize CAP reduction in an effective manner improving flexibility and scalability, while guaranteeing bounded delay.","PeriodicalId":358074,"journal":{"name":"2018 17th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN)","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125263082","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
Poster Abstract: Smart Saline Management System 摘要:智能生理盐水管理系统
2018 17th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN) Pub Date : 2018-04-01 DOI: 10.1109/IPSN.2018.00017
Charitha Amarasekara, Ruvini Manage, C. Abeywickrama, R. Perera, R. Achchige, J. Wijekoon
{"title":"Poster Abstract: Smart Saline Management System","authors":"Charitha Amarasekara, Ruvini Manage, C. Abeywickrama, R. Perera, R. Achchige, J. Wijekoon","doi":"10.1109/IPSN.2018.00017","DOIUrl":"https://doi.org/10.1109/IPSN.2018.00017","url":null,"abstract":"Supplying the correct amount of vital nutrition at the correct time is the most fundamental and important requirement for the hospitalized patients. Among those treatments, saline therapy is the most important treatment many patients receive from the hospitals. It is a fact that, in almost all hospitals of Sri Lanka, an assistant or a nurse, among other assigned health care duties, are responsible for monitoring the saline supplied for each patient. Unfortunately, there are some critical situations, i.e., patient's blood refluxing back into the saline tubing system, patients had to experience because of the observers' mistake due to their busy schedules. Nonetheless, the traditional method of supplying saline is also proven not accurate because the saline drop rate for a patient has been adjusted by looking at the drops falling speed in the drip chamber. The proposed system facilitates a sophisticated method of controlling saline drop rate by monitoring the saline system remotely by using IoT.","PeriodicalId":358074,"journal":{"name":"2018 17th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114668353","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
Demo Abstract: Welcome to My World: Demystifying Multi-User AR with the Cloud 摘要:欢迎来到我的世界:用云揭开多用户AR的神秘面纱
2018 17th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN) Pub Date : 2018-04-01 DOI: 10.1109/IPSN.2018.00036
N. Rajagopal, John Miller, Krishna Kumar Reghu Kumar, Anh Luong, Anthony G. Rowe
{"title":"Demo Abstract: Welcome to My World: Demystifying Multi-User AR with the Cloud","authors":"N. Rajagopal, John Miller, Krishna Kumar Reghu Kumar, Anh Luong, Anthony G. Rowe","doi":"10.1109/IPSN.2018.00036","DOIUrl":"https://doi.org/10.1109/IPSN.2018.00036","url":null,"abstract":"We demonstrate multi-user persistent Augmented Reality (AR) on mobile devices with a novel technique that provides nearly instant acquisition of location and orientation. Visual Inertial Odometry (VIO) provides accurate position and orientation tracking relative to device start-up for AR applications. Unfortunately, the tracking is local to the AR session of a single user and is not anchored in a global coordinate system. In order to provide all devices an accurate location in a common frame of reference, we utilize UWB nodes that range to the devices. To avoid the long startup time required to compute the device's orientation, we propose a novel technique that utilizes previously recorded magnetic field information to rapidly calibrate the compass. In order to simplify setup, we demonstrate automatic mapping of beacon locations and surveying of magnetic field by a pedestrian walking around the test area with a mobile device.","PeriodicalId":358074,"journal":{"name":"2018 17th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN)","volume":"13 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113964678","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: 4
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