2016 15th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN)最新文献_第7页

Poster Abstract: Enhanced Real-Time Transmission Using Time Gain in Wireless Sensor Networks 摘要:利用时间增益增强无线传感器网络的实时传输

2016 15th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN) Pub Date : 2016-04-11 DOI: 10.1109/IPSN.2016.7460702

Taehun Yang, Cheonyong Kim, Sangdae Kim, Euisin Lee, Sang-Ha Kim

引用次数: 1

Poster Abstract: The Impact of User Engagement in the Effectiveness of Energy Saving Programs 摘要:用户参与对节能项目有效性的影响

2016 15th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN) Pub Date : 2016-04-11 DOI: 10.1109/IPSN.2016.7460715

Hessam Mohammadmoradi, O. Gnawali, David Moss, Rainer Boelzle, Gene Wang

引用次数: 1

RNFD: Routing-Layer Detection of DODAG (Root) Node Failures in Low-Power Wireless Networks RNFD:低功耗无线网络中DODAG(根)节点故障的路由层检测

2016 15th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN) Pub Date : 2016-04-11 DOI: 10.5555/2959355.2959368

K. Iwanicki

{"title":"RNFD: Routing-Layer Detection of DODAG (Root) Node Failures in Low-Power Wireless Networks","authors":"K. Iwanicki","doi":"10.5555/2959355.2959368","DOIUrl":"https://doi.org/10.5555/2959355.2959368","url":null,"abstract":"While routing protocols for low-power wireless networks, such as CTP or RPL, handle link failures relatively well, node failures have received considerably less research attention. This paper thus studies crash-failures of destination nodes in distance-vector routing, that is, failures of so-called DODAG root nodes. First, it demonstrates empirically that handling root node crashes in existing state-of-the-art routing protocols leaves room for improvement or even fails completely in some cases. Second, based on an analysis of this behavior, the paper proposes RNFD, a new algorithm that explicitly tracks node failures at the routing layer. The algorithm is designed as a framework that complements rather than replaces regular route maintenance algorithms, which facilitates its integration with the existing protocols. Third, the paper evaluates a prototype implementation of RNFD through simulations and testbed experiments. In particular, it demonstrates that, with little information overhead, RNFD can speed up node failure detection by an order of magnitude and considerably reduce the traffic during the process.","PeriodicalId":137855,"journal":{"name":"2016 15th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN)","volume":"10 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":"122291934","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: 18

VibID: User Identification through Bio-Vibrometry VibID:通过生物振动法进行用户识别

2016 15th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN) Pub Date : 2016-04-11 DOI: 10.1109/IPSN.2016.7460725

L. Yang, Wei Wang, Qian Zhang

{"title":"VibID: User Identification through Bio-Vibrometry","authors":"L. Yang, Wei Wang, Qian Zhang","doi":"10.1109/IPSN.2016.7460725","DOIUrl":"https://doi.org/10.1109/IPSN.2016.7460725","url":null,"abstract":"User identification is an essential problem for security protection and data privacy preservation of wearable devices. With proper user identification, wearable devices can adopt personalized settings for different users, automatically label the corresponding data to protect user privacy, and help prevent illegal user spoofing attacks. Current user identification solutions proposed for wearable devices either rely on dedicated devices with high cost or require user intervention which is not convenient. In this work, we leverage the bio-vibrometry to enable a novel user identification solution for wearable devices in small-scale scenarios, e.g., household scenario. Unlike existing user identification solutions, our system only uses the low-cost sensors that are already available for most wearable devices. The key idea is that, when human body is exposed to a vibration excitation, the vibration response reflects the physical characteristics of user, i.e., the mass, stiffness and damping. Meanwhile, due to users' biological diversity, such physical characteristics of different users are quite distinctive. Therefore, we can leverage the discrepancy in users' vibration responses as an identifier. Based on this idea, we propose VibID, which only uses a low-cost vibration motor and accelerometer to generate an unobtrusive vibration to users' arms and capture the corresponding responses. By examining the vibration patterns at different frequencies, VibID builds an ensemble machine learning model to recognize who is using the device. Extensive experiments are conducted on human subjects to demonstrate that our system is reliable in small- scale scenarios and robust to various confounding factors, e.g., arm position, muscle state, user mobility and wearing location. We also show that, in an uncontrolled scenario of 8 users, our system can still ensure a identification accuracy above 91%.","PeriodicalId":137855,"journal":{"name":"2016 15th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN)","volume":"33 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":"123059340","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: 26

Poster Abstract: An Embedded Gateway with Mobile Network Connectivity Can Talk Directly to Cloud Storage 摘要:具有移动网络连接的嵌入式网关可以直接与云存储对话

2016 15th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN) Pub Date : 2016-04-11 DOI: 10.1109/IPSN.2016.7460694

Yen-Shuo Huang, Wei-Kuan Wang, K. Cheng, Huang-Chen Lee

{"title":"Poster Abstract: An Embedded Gateway with Mobile Network Connectivity Can Talk Directly to Cloud Storage","authors":"Yen-Shuo Huang, Wei-Kuan Wang, K. Cheng, Huang-Chen Lee","doi":"10.1109/IPSN.2016.7460694","DOIUrl":"https://doi.org/10.1109/IPSN.2016.7460694","url":null,"abstract":"Taking advantages of off-the-shelf cloud platform services, rather than maintaining a private database for logging the data from sensors, can significantly reduce labor and equipment costs for using a reliable database system. In this study, we present an inexpensive (less than 30 USD) embedded gateway with mobile network connectivity that can talk directly to cloud storage service providers, such as Google Apps Engine (hereafter called GAE). This embedded gateway can be used to collect data from networked wireless sensors in the field. The proposed design is characterized by: (1) using mobile networks to upload collected data without the need to pre-deploy conventional network equipment in the field; and (2) using cloud platform services for the logging of data. We designed and implemented this framework and installed it in a test site to evaluate its performance. This gateway framework can facilitate the design of a sensor system for collecting on-site signals, leveraging the benefits of cost-effective, always-ready, and reliable data storage service.","PeriodicalId":137855,"journal":{"name":"2016 15th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN)","volume":"42 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":"132245757","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

Poster Abstract: The TWECIS Testbed Architecture 摘要:TWECIS测试平台架构

2016 15th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN) Pub Date : 2016-04-11 DOI: 10.1109/IPSN.2016.7460716

Albert Potsch, Stefan Hujber, A. Springer

引用次数: 2

Walkie-Talkie: Motion-Assisted Automatic Key Generation for Secure On-Body Device Communication 对讲机:用于安全身体设备通信的运动辅助自动密钥生成

2016 15th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN) Pub Date : 2016-04-11 DOI: 10.5555/2959355.2959358

Weitao Xu, G. Revadigar, Chengwen Luo, N. Bergmann, Wen Hu

{"title":"Walkie-Talkie: Motion-Assisted Automatic Key Generation for Secure On-Body Device Communication","authors":"Weitao Xu, G. Revadigar, Chengwen Luo, N. Bergmann, Wen Hu","doi":"10.5555/2959355.2959358","DOIUrl":"https://doi.org/10.5555/2959355.2959358","url":null,"abstract":"Ubiquity of wearable and implantable devices sparks a new set of mobile computing applications that leverage the prolific information of sensors. For many of these applications, to ensure the security of communication between legitimate devices is a crucial problem. In this paper, we design Walkie-Talkie, a shared secret key generation scheme that allows two legitimate devices to establish a common cryptographic key by exploiting users' walking characteristics (gait). The intuition is that the sensors on different locations of the same body experience similar accelerometer signal when the user is walking. However, the accelerometer also captures motion signal produced by other body parts (e.g., swinging arms). We address this issue by employing Blind Source Separation (BSS) technique to extract the informative signal produced by the unique gait pattern. Our experimental results show that the keys generated by two independent devices on the same body are able to achieve up to 100% bit agreement rate. To demonstrate the feasibility, we implement the proposed key generation scheme on modern smartphones. The evaluation results show that the proposed scheme can run in real-time on modern mobile devices and incurs low system overhead.","PeriodicalId":137855,"journal":{"name":"2016 15th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN)","volume":" 17","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113947277","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: 76

Poster Abstract: Human Tracking and Activity Monitoring Using 60 GHz mmWave 摘要:利用60ghz毫米波进行人体跟踪和活动监测

2016 15th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN) Pub Date : 2016-04-01 DOI: 10.1109/IPSN.2016.7460704

Yunze Zeng, P. Pathak, Zhicheng Yang, P. Mohapatra

引用次数: 10