2016 15th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN)最新文献_第3页

Poster Abstract: Exploiting Temporal Variation of Received Radio Signal Strength for Indoor Human Tracking 摘要:利用接收无线电信号强度的时间变化进行室内人体跟踪

2016 15th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN) Pub Date : 2016-04-11 DOI: 10.1109/IPSN.2016.7460703

Tzu-Ting Lin, Chun-Ju Lin, Chia-Min Su, Yi-Chun Lin, Huang-Chen Lee

{"title":"Poster Abstract: Exploiting Temporal Variation of Received Radio Signal Strength for Indoor Human Tracking","authors":"Tzu-Ting Lin, Chun-Ju Lin, Chia-Min Su, Yi-Chun Lin, Huang-Chen Lee","doi":"10.1109/IPSN.2016.7460703","DOIUrl":"https://doi.org/10.1109/IPSN.2016.7460703","url":null,"abstract":"Indoor positioning is one of the key technologies for enabling location-aware applications. To the best of our knowledge, existing indoor positioning technologies are aimed at providing very high-accuracy location information, but are hindered by the need of a infrastructure with high installation and maintenance costs. In addition, their accuracy is usually highly variable and vulnerable to environmental changes or external interference. Thus, for applications of indoor human tracking, the practical considerations of choosing a suitable indoor positioning technique should be to provide adequate accuracy while also being economical. Based on this observation, our study presents an indoor, room-level tracking method characterized by an infrastructure with low costs to build and maintain. The user carries a mobile device that can determine his/her location with the help of Bluetooth beacons installed at the intersections between rooms and hallways. In contrast to traditional radio-fingerprint map and proximity approaches, in this study the mobile device tracks the user's moving direction and the temporal variation of the radio signal strength from nearby Bluetooth beacons, to determine when the device enters or leaves a given room or hallway. Therefore, by determining the sequence of a user's movements, his/her moving path can be recorded for indoor tracking or navigation.","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":"127847191","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

Burnout: A Wearable System for Unobtrusive Skeletal Muscle Fatigue Estimation 倦怠:一个可穿戴系统的不显眼的骨骼肌疲劳估计

2016 15th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN) Pub Date : 2016-04-11 DOI: 10.5555/2959355.2959363

Frank Mokaya, R. Lucas, H. Noh, Pei Zhang

{"title":"Burnout: A Wearable System for Unobtrusive Skeletal Muscle Fatigue Estimation","authors":"Frank Mokaya, R. Lucas, H. Noh, Pei Zhang","doi":"10.5555/2959355.2959363","DOIUrl":"https://doi.org/10.5555/2959355.2959363","url":null,"abstract":"Skeletal muscles are pivotal for sports and exercise. However, overexertion of skeletal muscles causes muscle fatigue which can lead to injury. Consequently, understanding skeletal muscle fatigue is important for injury prevention. Current ways to estimate exhaustion revolve around self-estimation or inference from such sensors as force sensors, electromyography e.t.c. These methods are not always reliable, especially during isotonic exercises. Toward this end, we present Burnout - a wearable system for quantifying skeletal muscle fatigue in an exercise setting. Burnout uses accelerometers to sense skeletal muscle vibrations. From these vibrations, Burnout obtains a region based feature (R- Feature), in the case of this work, the region mean power frequency (R-MPF) gradient to correlate the sensed vibrations to a known ground truth measure of skeletal muscle fatigue, i.e., Dimitrov's spectral fatigue index gradient. We evaluate Burnout on the biceps and quadriceps of 5 healthy participants through four different exercises, collected in a real world environment. Our results show that by using this R-MPF feature on our real world data set, Burnout is able to reduce the error of estimating the ground truth fatigue index gradient by up to 50% on average compared to using the standard MPF feature.","PeriodicalId":137855,"journal":{"name":"2016 15th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN)","volume":"22 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":"115168107","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: 41

Poster Abstract: An Efficient Authentication Model in Smart Grid Networks 摘要:智能电网中一种高效的认证模型

2016 15th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN) Pub Date : 2016-04-11 DOI: 10.1109/IPSN.2016.7460693

Pardeep Kumar, A. Gurtov, P. Ha

引用次数: 0

Generic Route Repair: Augmenting Wireless Ad Hoc Sensor Networks for Local Connectivity 通用路由修复:增强无线自组织传感器网络的本地连接

2016 15th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN) Pub Date : 2016-04-11 DOI: 10.1109/IPSN.2016.7460674

Stefan Hoffmann, Egon Wanke

引用次数: 2

Poster Abstract: Scaling IoT Device APIs and Analytics 海报摘要:扩展物联网设备api和分析

2016 15th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN) Pub Date : 2016-04-11 DOI: 10.1109/IPSN.2016.7460712

O. Gnawali, David Moss, Dmitry Shirkalin, Russ Clark, Brian Jones, William Eason

引用次数: 0

MAGIC: Model-Based Actuation for Ground Irrigation Control MAGIC:基于模型的地面灌溉控制驱动

2016 15th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN) Pub Date : 2016-04-11 DOI: 10.1109/IPSN.2016.7460680

Daniel A. Winkler, Robert Wang, F. Blanchette, M. A. Carreira-Perpiñán, Alberto Cerpa

{"title":"MAGIC: Model-Based Actuation for Ground Irrigation Control","authors":"Daniel A. Winkler, Robert Wang, F. Blanchette, M. A. Carreira-Perpiñán, Alberto Cerpa","doi":"10.1109/IPSN.2016.7460680","DOIUrl":"https://doi.org/10.1109/IPSN.2016.7460680","url":null,"abstract":"Lawns make up the largest irrigated crop by surface area in North America, and carries with it a demand for over 9 billion gallons of freshwater each day. Despite recent developments in irrigation control and sprinkler technology, state-of-the-art irrigation systems do nothing to compensate for areas of turf with heterogeneous water needs. In this work, we overcome the physical limitations of the traditional irrigation system with the development of a sprinkler node that can sense the local soil moisture, communicate wirelessly, and actuate its own sprinkler based on a centrally- computed schedule. A model is then developed to compute moisture movement from runoff, absorption, and diffusion. Integrated with an optimization framework, optimal valve scheduling can be found for each node in the space. In a turf area covering over 10,000ft2, two separate deployments spanning a total of 7 weeks show that MAGIC can reduce water consumption by 23.4% over traditional campus scheduling, and by 12.3% over state-of-the- art evapotranspiration systems, while substantially improving conditions for plant health. In addition to environmental, social, and health benefits, MAGIC is shown to return its investment in 16-18 months based on water consumption alone.","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":"122024327","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

Poster Abstract: Automatic Calibration of Device Attitude in Inertial Measurement Unit Based Traffic Probe Vehicles 摘要:基于惯性测量单元的交通探测车辆装置姿态自动标定

2016 15th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN) Pub Date : 2016-04-11 DOI: 10.1109/IPSN.2016.7460698

M. Mousa, Kapil Sharma, C. Claudel

引用次数: 2

Demonstration Abstract: Enabling Robust Data Collection in Unplanned Cross-Technology Interference of Urban Environments 摘要:实现城市环境中计划外跨技术干扰的鲁棒数据收集

2016 15th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN) Pub Date : 2016-04-11 DOI: 10.1109/IPSN.2016.7460668

Mobashir Mohammad, Xiangfa Guo, M. Chan

引用次数: 0

Poster Abstract: BouKey: Location-Based Key Sharing Using Visible Light Communication 海报摘要:BouKey:基于位置的密钥共享使用可见光通信

2016 15th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN) Pub Date : 2016-04-11 DOI: 10.1109/IPSN.2016.7460699

Abdalah Hilmia, Kasun Hewage, Ambuj Varshney, C. Rohner, T. Voigt

引用次数: 1

Oppcast: Exploiting Spatial and Channel Diversity for Robust Data Collection in Urban Environments Oppcast:利用空间和渠道多样性在城市环境中进行稳健的数据收集

2016 15th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN) Pub Date : 2016-04-11 DOI: 10.1109/IPSN.2016.7460681

Mobashir Mohammad, Xiangfa Guo, M. Chan

{"title":"Oppcast: Exploiting Spatial and Channel Diversity for Robust Data Collection in Urban Environments","authors":"Mobashir Mohammad, Xiangfa Guo, M. Chan","doi":"10.1109/IPSN.2016.7460681","DOIUrl":"https://doi.org/10.1109/IPSN.2016.7460681","url":null,"abstract":"ZigBee shares the 2.4 GHz ISM band with a number of wireless technologies like WiFi, Bluetooth, and common household appliances like a microwave and a cordless phone to name a few. Due to the large-scale penetration of these technologies in urban environments, ZigBee communication suffers from severe cross-technology interference (CTI). Data collection in the presence of such highly dynamic CTI is quite challenging. Our work first examines the different deployment environments under the influence of planned and unplanned CTI and later proposes Oppcast, a robust and energy- efficient data collection protocol that carefully exploits a combination of spatial and channel diversity to eliminate the need for performing expensive channel estimation in advance. Our extensive evaluation in both a large-scale testbed (Academic Institution) and various urban environments (Carpark, Residential Complex, Shopping Mall and Cafeteria) shows that Oppcast is not only robust to CTI with reliability consistently maintained above 98.55%, but is also up to 2.4 times more energy efficient than the state-of-the-art data collection protocols. The rationale behind Oppcast exhibiting high robustness in highly dynamic environments is a significant increase in the number of communication opportunities it gets by exploiting multiple routes over multiple channels towards the destination.","PeriodicalId":137855,"journal":{"name":"2016 15th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN)","volume":"20 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":"114722987","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: 42