Proceedings of the 15th ACM Conference on Embedded Network Sensor Systems最新文献_第6页

Supply Chain Object Discovery with Semantic-enhanced Blockchain 基于语义增强区块链的供应链对象发现

Proceedings of the 15th ACM Conference on Embedded Network Sensor Systems Pub Date : 2017-11-06 DOI: 10.1145/3131672.3136974

M. Ruta, F. Scioscia, S. Ieva, Giovanna Capurso, E. Sciascio

引用次数: 23

BLEach: Exploiting the Full Potential of IPv6 over BLE in Constrained Embedded IoT Devices 漂白:在受限的嵌入式物联网设备中利用IPv6在BLE上的全部潜力

Proceedings of the 15th ACM Conference on Embedded Network Sensor Systems Pub Date : 2017-11-06 DOI: 10.1145/3131672.3131687

Michael Spörk, C. Boano, Marco Zimmerling, K. Römer

{"title":"BLEach: Exploiting the Full Potential of IPv6 over BLE in Constrained Embedded IoT Devices","authors":"Michael Spörk, C. Boano, Marco Zimmerling, K. Römer","doi":"10.1145/3131672.3131687","DOIUrl":"https://doi.org/10.1145/3131672.3131687","url":null,"abstract":"The ability to fine-tune communication performance is key to meeting the requirements of Internet of Things applications. While years of low-power wireless research now allows developers to fully optimize the performance of applications built on top of IEEE 802.15.4, this has not yet happened with Bluetooth Low Energy (BLE), whose networking performance is still largely unexplored and whose potential is not yet fully exploited. Indeed, BLE radios are often treated as a black box, because they are meant to only execute data transfer commands and manufacturers build BLE soft devices with closed-source network stacks. As a result, developers working with BLE cannot modify the radio driver or the link-layer, and hence have no direct control over radio duty cycling and packet re-transmissions. To tackle these challenges, we analyze and model how specific BLE features can be used to fine-tune communication performance at run-time. We further present the design and implementation of BLEach, an IPv6-over-BLE stack that exposes tuning knobs for controlling the energy usage and timeliness of BLE transmissions and that allows to enforce a variety of quality-of-service (QoS) metrics. We design three exemplary modules for BLEach providing novel BLE functionality: adaptive radio duty cycling, IPv6-over-BLE traffic prioritization and multiplexing, as well as indirect link-quality monitoring. We integrate BLEach into Contiki and release its code, thus addressing the lack of a full-fledged open-source IPv6-over-BLE stack. Experiments demonstrate that BLEach is lightweight, interoperable with other standard-compliant devices, and reduces energy costs by up to 50 % while giving QoS guarantees by quickly adapting to changes in interference, traffic priority, and traffic load.","PeriodicalId":424262,"journal":{"name":"Proceedings of the 15th ACM Conference on Embedded Network Sensor Systems","volume":"514 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126300582","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: 43

Supporting Heterogeneous IoT Traffic using the IEEE 802.11ah Restricted Access Window 通过IEEE 802.11ah限制访问窗口支持异构物联网流量

Proceedings of the 15th ACM Conference on Embedded Network Sensor Systems Pub Date : 2017-11-06 DOI: 10.1145/3131672.3136956

S. Santi, A. Sljivo, L. Tian, E. D. Poorter, J. Hoebeke, J. Famaey

引用次数: 4

PhO2: Smartphone based Blood Oxygen Level Measurement Systems using Near-IR and RED Wave-guided Light PhO2:基于智能手机的血氧水平测量系统，使用近红外和红色波导光

Proceedings of the 15th ACM Conference on Embedded Network Sensor Systems Pub Date : 2017-11-06 DOI: 10.1145/3131672.3131696

Nam Bui, Anh Nguyen, Phuc Nguyen, Anh-Hoang Truong, A. Ashok, Thang N. Dinh, R. Deterding, Tam N. Vu

{"title":"PhO2: Smartphone based Blood Oxygen Level Measurement Systems using Near-IR and RED Wave-guided Light","authors":"Nam Bui, Anh Nguyen, Phuc Nguyen, Anh-Hoang Truong, A. Ashok, Thang N. Dinh, R. Deterding, Tam N. Vu","doi":"10.1145/3131672.3131696","DOIUrl":"https://doi.org/10.1145/3131672.3131696","url":null,"abstract":"Accurately measuring and monitoring patient's blood oxygen level plays a critical role in today's clinical diagnosis and healthcare practices. Existing techniques however either require a dedicated hardware or produce inaccurate measurements. To fill in this gap, we propose a phone-based oxygen level estimation system, called PhO2, using camera and flashlight functions that are readily available on today's off-the-shelf smart phones. Since phone's camera and flashlight are not made for this purpose, utilizing them for oxygen level estimation poses many challenges. We introduce a cost-effective add-on together with a set of algorithms for spatial and spectral optical signal modulation to amplify the optical signal of interest while minimizing noise. A light-based pressure detection algorithm and feedback mechanism are also proposed to mitigate the negative impacts of user's behavior during the measurement. We also derive a non-linear referencing model that allows PhO2 to estimate the oxygen level from color intensity ratios produced by smartphone's camera. An evaluation using a custom-built optical element on COTS smartphone with 6 subjects shows that PhO2 can estimate the oxygen saturation within 3.5% error rate comparing to FDA-approved gold standard pulse oximetry. A user study to gauge the reception of PhO2 shows that users are comfortable self-operating the device, and willing to carry the device when going out.","PeriodicalId":424262,"journal":{"name":"Proceedings of the 15th ACM Conference on Embedded Network Sensor Systems","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132324999","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: 28

A New Sensor for Gait Analysis: Demonstration of the IEE's Smart Insole 一种新的步态分析传感器:IEE智能鞋垫的演示

Proceedings of the 15th ACM Conference on Embedded Network Sensor Systems Pub Date : 2017-11-06 DOI: 10.1145/3131672.3136955

F. Melakessou

引用次数: 1

Glasses for the Third Eye: Improving the Quality of Clinical Data Analysis with Motion Sensor-based Data Filtering 第三眼眼镜:用基于运动传感器的数据过滤提高临床数据分析的质量

Proceedings of the 15th ACM Conference on Embedded Network Sensor Systems Pub Date : 2017-11-06 DOI: 10.1145/3131672.3131690

Jaeyeon Park, Woojin Nam, Jaewon Choi, Taeyeong Kim, D. Yoon, Sukhoon Lee, Jeongyeup Paek, Jeonggil Ko

{"title":"Glasses for the Third Eye: Improving the Quality of Clinical Data Analysis with Motion Sensor-based Data Filtering","authors":"Jaeyeon Park, Woojin Nam, Jaewon Choi, Taeyeong Kim, D. Yoon, Sukhoon Lee, Jeongyeup Paek, Jeonggil Ko","doi":"10.1145/3131672.3131690","DOIUrl":"https://doi.org/10.1145/3131672.3131690","url":null,"abstract":"Recent advances in machine learning based data analytics are opening opportunities for designing effective clinical decision support systems (CDSS) which can become the \"third-eye\" in the current clinical procedures and diagnosis. However, common patient movements in hospital wards may lead to faulty measurements in physiological sensor readings, and training a CDSS from such noisy data can cause misleading predictions, directly leading to potentially dangerous clinical decisions. In this work, we present MediSense, a system to sense, classify, and identify noise-causing motions and activities that affect physiological signal when made by patients on their hospital beds. Essentially, such a system can be considered as \"glasses\" for the clinical third eye in correctly observing medical data. MediSense combines wirelessly connected embedded platforms for motion detection with physiological signal data collected from patients to identify faulty physiological signal measurements and filters such noisy data from being used in CDSS training or testing datasets. We deploy our system in real intensive care units (ICUs), and evaluate its performance from real patient traces collected at these ICUs through a 4-month pilot study at the Ajou University Hospital Trauma Center, a major hospital facility located in Suwon, South Korea. Our results show that MediSense successfully classifies patient motions on the bed with >90% accuracy, shows 100% reliability in determining the locations of beds within the ICU, and each bed-attached sensor achieves a lifetime of more than 33 days, which satisfies the application-level requirements suggested by our clinical partners. Furthermore, a simple case-study with arrhythmia patient data shows that MediSense can help improve the clinical diagnosis accuracy.","PeriodicalId":424262,"journal":{"name":"Proceedings of the 15th ACM Conference on Embedded Network Sensor Systems","volume":"21 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124666555","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: 20

The Tock Embedded Operating System 嵌入式操作系统

Proceedings of the 15th ACM Conference on Embedded Network Sensor Systems Pub Date : 2017-11-06 DOI: 10.1145/3131672.3136988

A. Levy, Bradford Campbell, Branden Ghena, Daniel B. Giffin, S. Leonard, P. Pannuto, P. Dutta, P. Levis

引用次数: 17

DeepASL: Enabling Ubiquitous and Non-Intrusive Word and Sentence-Level Sign Language Translation DeepASL:实现无处不在和非侵入性的单词和句子级手语翻译

Proceedings of the 15th ACM Conference on Embedded Network Sensor Systems Pub Date : 2017-11-06 DOI: 10.1145/3131672.3131693

Biyi Fang, J. Co, Mi Zhang

{"title":"DeepASL: Enabling Ubiquitous and Non-Intrusive Word and Sentence-Level Sign Language Translation","authors":"Biyi Fang, J. Co, Mi Zhang","doi":"10.1145/3131672.3131693","DOIUrl":"https://doi.org/10.1145/3131672.3131693","url":null,"abstract":"There is an undeniable communication barrier between deaf people and people with normal hearing ability. Although innovations in sign language translation technology aim to tear down this communication barrier, the majority of existing sign language translation systems are either intrusive or constrained by resolution or ambient lighting conditions. Moreover, these existing systems can only perform single-sign ASL translation rather than sentence-level translation, making them much less useful in daily-life communication scenarios. In this work, we fill this critical gap by presenting DeepASL, a transformative deep learning-based sign language translation technology that enables ubiquitous and non-intrusive American Sign Language (ASL) translation at both word and sentence levels. DeepASL uses infrared light as its sensing mechanism to non-intrusively capture the ASL signs. It incorporates a novel hierarchical bidirectional deep recurrent neural network (HB-RNN) and a probabilistic framework based on Connectionist Temporal Classification (CTC) for word-level and sentence-level ASL translation respectively. To evaluate its performance, we have collected 7, 306 samples from 11 participants, covering 56 commonly used ASL words and 100 ASL sentences. DeepASL achieves an average 94.5% word-level translation accuracy and an average 8.2% word error rate on translating unseen ASL sentences. Given its promising performance, we believe DeepASL represents a significant step towards breaking the communication barrier between deaf people and hearing majority, and thus has the significant potential to fundamentally change deaf people's lives.","PeriodicalId":424262,"journal":{"name":"Proceedings of the 15th ACM Conference on Embedded Network Sensor Systems","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115719014","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: 88

Using LEDs for Visible Light Communication and as a Wake-up Mechanism in the Internet of Things 将led用于可见光通信并作为物联网中的唤醒机制

Proceedings of the 15th ACM Conference on Embedded Network Sensor Systems Pub Date : 2017-11-06 DOI: 10.1145/3131672.3136995

E. Vercellone, Vicent Ferrandiz, Jo Aubert, M. Gasulla

引用次数: 3

Secure Sharing of Partially Homomorphic Encrypted IoT Data 部分同态加密物联网数据的安全共享

Proceedings of the 15th ACM Conference on Embedded Network Sensor Systems Pub Date : 2017-11-06 DOI: 10.1145/3131672.3131697

Hossein Shafagh, Anwar Hithnawi, Lukas Burkhalter, Pascal Fischli, S. Duquennoy

{"title":"Secure Sharing of Partially Homomorphic Encrypted IoT Data","authors":"Hossein Shafagh, Anwar Hithnawi, Lukas Burkhalter, Pascal Fischli, S. Duquennoy","doi":"10.1145/3131672.3131697","DOIUrl":"https://doi.org/10.1145/3131672.3131697","url":null,"abstract":"IoT applications often utilize the cloud to store and provide ubiquitous access to collected data. This naturally facilitates data sharing with third-party services and other users, but bears privacy risks, due to data breaches or unauthorized trades with user data. To address these concerns, we present Pilatus, a data protection platform where the cloud stores only encrypted data, yet is still able to process certain queries (e.g., range, sum). More importantly, Pilatus features a novel encrypted data sharing scheme based on re-encryption, with revocation capabilities and in situ key-update. Our solution includes a suite of novel techniques that enable efficient partially homomorphic encryption, decryption, and sharing. We present performance optimizations that render these cryptographic tools practical for mobile platforms. We implement a prototype of Pilatus and evaluate it thoroughly. Our optimizations achieve a performance gain within one order of magnitude compared to state-of-the-art realizations; mobile devices can decrypt hundreds of data points in a few hundred milliseconds. Moreover, we discuss practical considerations through two example mobile applications (Fitbit and Ava) that run Pilatus on real-world data.","PeriodicalId":424262,"journal":{"name":"Proceedings of the 15th ACM Conference on Embedded Network Sensor Systems","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133306580","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: 70