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检索条件"任意字段=Proceedings of the 19th ACM Conference on Embedded Networked Sensor Systems"

共 791 条记录，以下是311-320 订阅

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Piggyback CrowdSensing (PCS): Energy efficient crowdsourcing of mobile sensor data by exploiting smartphone app opportunities 13

Piggyback CrowdSensing (PCS): Energy efficient crowdsourcing...

引用

11th acm conference on embedded networked sensor systems, SenSys 2013

作者： Lane, Nicholas D. Chon, Yohan Zhou, Lin Zhang, Yongzhe Li, Fan Kimz, Dongwon Ding, Guanzhong Zhao, Feng Cha, Hojung Microsoft Research Asia United States Yonsei University Korea Republic of UC Santa Barbara United States Shanghai Jiao Tong University China Pearson China National Tsing Hua University China

ISBN: (纸本)9781450320276

Fueled by the widespread adoption of sensor-enabled smart-phones, mobile crowdsourcing is an area of rapid innova-tion. Many crowd-powered sensor systems are now part of our daily life { for example, providing highway congestion information. However, participation in these systems can easily expose users to a significant drain on already limited mobile battery resources. For instance, the energy burden of sampling certain sensors (such as WiFi or GPS) can quickly accumulate to levels users are unwilling to bear. Crowd system designers must minimize the negative energy side-effects of participation if they are to acquire and maintain large-scale user populations. To address this challenge, we propose Piggyback Crowd-Sensing (PCS), a system for collecting mobile sensor data from smartphones that lowers the energy overhead of user participation. Our approach is to collect sensor data by exploiting Smartphone App Opportunities { that is, those times when smartphone users place phone calls or use ap-plications. In these situations, the energy needed to sense is lowered because the phone need no longer be woken from an idle sleep state just to collect data. Similar savings are also possible when the phone either performs local sensor computation or uploads the data to the cloud. To eficiently use these sporadic opportunities, PCS builds a light weight, user specific prediction model of smartphone app usage. PCS uses this model to drive a decision engine that lets the smartphone locally decide which app opportunities to exploit based on expected energy/quality trade-offs. We evaluate PCS by analyzing a large-scale dataset (con- taining 1,320 smartphone users) and building an end-to-end crowdsourcing application that constructs an indoor WiFi localization database. Our findings show that PCS can ef- fectively collect large-scale mobile sensor datasets (e.g., accelerometer, GPS, audio, image) from users while using less energy (up to 90% depending on the scenario) compared t

关键词： Smartphones

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A Rule Verification and Resolution Framework in Smart Building System

A Rule Verification and Resolution Framework in Smart Buildi...

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19th IEEE International conference on Parallel and Distributed systems (ICPADS)

作者： Luo, Hong Wang, Ruosi Li, Xinming Beijing Univ Posts & Telecommun Sch Comp Sci Beijing 100876 Peoples R China Acad Equipment Sci & Technol Complex Elect Syst Simulat Lab Beijing 101416 Peoples R China

ISBN: (纸本)9781479920815

In smart building, services are stored as rules and achieved by rule analyzing and executing. However, the irrational contents of rules and conflicts between rules may bring confusion and maloperation in the rule system. In this paper, we propose a lightweight rule verification and resolution framework to solve the problem which provides content anomaly detection and rule conflict detection. We also provide a quick resolution strategy for rule conflicts based on conflict-scenario-analysis so as to guarantee the rule system performing appropriately.

关键词： wireless sensor-actuator networks rule verification rule conflict anomaly detection knowledge-based

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Development of Efficient Role-based sensor Network Applications with Excel Spreadsheets

Development of Efficient Role-based Sensor Network Applicati...

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19th IEEE International conference on Parallel and Distributed systems (ICPADS)

作者： Boelmann, Christopher Weis, Torben Univ Duisburg Essen Distributed Syst Grp Duisburg Germany

ISBN: (纸本)9781479920815

Natural scientists use large scale sensor networks for gathering and analyzing environmental data. However, the implementation work requires expert programmers. the problem is complicated by limited battery lifetime, processing power and memory capacity of the nodes, because this requires a low-level programming language. Since scientists are used to analyzing data with spreadsheets, researchers have studied the possibility of applying spreadsheet-based programming to sensor networks. the approaches so far either require a central server to execute the spreadsheet, or they execute a spreadsheet run-time on each node. the first approach causes higher communication cost since all data has to be routed to the central server and the second one causes computational overhead, because evaluating a spreadsheet is slower than executing handcrafted NesC-code. Hence, we present a spreadsheet driven tool-chain that can create efficient NesC-code and allows for simulation in the spreadsheet itself. the nodes have to recompute the spreadsheet formulas upon new data. However, we can avoid a large fraction of this recomputation by applying several optimization strategies during code generation. In our example scenario, sensor nodes compute the variance across a series of sensor readings. We can show that the optimizations save 65% CPU cycles and the code size decreases by 12% when compared to non-optimized execution of the spreadsheet. thus, our approach can deliver an easy way of developing sensor network programs while yielding very efficient code.

关键词： Spreadsheet Programming Designing sensor Networks Computation Optimization

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Social Web of things: A Survey

Social Web of Things: A Survey

引用

19th IEEE International conference on Parallel and Distributed systems (ICPADS)

作者： Chung, Tein-Yaw Mashal, Ibrahim Alsaryrah, Osama Huy, Van Kuo, Wen-Hsing Agrawal, Dharma P. Yuan Ze Univ Dept Comp Sci & Engn Taoyuan Taiwan Yuan Ze Univ Dept Elect Engn Taoyuan Taiwan Univ Cincinnati Dept EECS Ctr Distributed & Mobile Comp Cincinnati OH 45221 USA

ISBN: (纸本)9781479920815

Recently, Wireless sensor Networks (WSNs) are spread all over the world, and are commonly used to collect physical information from the surrounding world. WSNs play a central role in the Internet of things (IoT) vision. IoT is a new paradigm that aims to integrate and connect anything at anytime, anyplace, with anything and by anyone. However, addressing objects is the main challenge for IoT. IPv6 over Low power Wireless Personal Area Networks (6LoWPAN) has been introduced to cope with this issue. the emerging paradigm Social web of thing (SWoT) enables users to manage, access, share, and integrate smart objects with Social Network Site (SNS). this paper investigates different SWoT platforms and architectures, provides an overview of the current state-of-the-art on WSN communication standards.

关键词： Home and Building Automation Internet Of things IPv6 over Low-power Personal Area Networks Social Network Site Social Web of things Web of things Wireless sensor Network ZigBee

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SenSys 2011 - proceedings of the 9th acm conference on embedded networked sensor systems

SenSys 2011 - Proceedings of the 9th ACM Conference on Embed...

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9th acm conference on embedded networked sensor systems, SenSys 2011

ISBN: (纸本)9781450307185

the proceedings contain 75 papers. the topics discussed include: on the implications of the log-normal path loss model: an efficient method to deploy and move sensor motes;lossy links, low power, high throughput;industry: beyond interoperability - pushing the performance of sensor network IP stacks;hierarchical aggregate classification with limited supervision for data reduction in wireless sensor networks;balancing energy, latency and accuracy for mobile sensor data classification;EasyTracker: automatic transit tracking, mapping, and arrival time prediction using smartphones;mobility prediction-based smartphone energy optimization for everyday location monitoring;acoustic shooter localization with a minimal number of single-channel wireless sensor nodes;stochastic radio interferometric positioning in the 2.4 GHz;CarMA: towards personalized automotive tuning;and EasiCPRS: design and implementation of a portable Chinese pulse-wave retrieval system.

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SmartLoc: Push the limit of the inertial sensor based metropolitan localization using smartphone 13

SmartLoc: Push the limit of the inertial sensor based metrop...

引用

19th Annual International conference on Mobile Computing and Networking, MobiCom 2013

作者： Bo, Cheng Li, Xiang-Yang Jung, Taeho Mao, Xufei Tao, Yue Yao, Lan Illinois Institute of Technology Chicago IL 60616 United States Tsinghua University Beijing China Northeastern University Shenyang China

ISBN: (纸本)9781450319997

We present SmartLoc, a localization system to estimate the location and the traveling distance by leveraging the lower-power inertial sensors embedded in smartphones as a supplementary to GPS. To minimize the negative impact of sensor noises, SmartLoc exploits the intermittent strong GPS signals and uses the linear regression to build a prediction model which is based on the trace estimated from inertial sensors and the one computed from the GPS. Furthermore, we utilize landmarks (e.g., bridge, traffic lights) detected automatically and special driving patterns (e.g., turning, uphill, and downhill) from inertial sensory data to improve the localization accuracy when the GPS signal is weak. Our evaluations of SmartLoc in the city demonstrates its technique viability and significant localization accuracy improvement compared with GPS and other approaches: the error is approximately 20m for 90% of time while the known mean error of GPS is 42.22m. © 2013 by the Association for Computing Machinery, Inc.

关键词： Smartphones

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Communication in extreme wireless sensor networks 13

Communication in extreme wireless sensor networks

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proceedings of the 11th acm conference on embedded networked sensor systems

作者： Marco Cattani Marco Zuniga Matthias Woehrle Koen Langendoen Delft University of Technology The Netherlands

In spite of using unreliable resource-constrained devices, sensor networks can nowadays deliver 99.9% of their data with duty cycles well below 1%. this remarkable performance is, however, dependent on one or more of ...

ISBN: (纸本)9781450320276

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Comparison of two paradigms for image analysis in visual sensor networks 13

Comparison of two paradigms for image analysis in visual sen...

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proceedings of the 11th acm conference on embedded networked sensor systems

作者： A. Canclini L. Baroffio M. Cesana A. Redondi M. Tagliasacchi Politecnico di Milano

this interactive demo presents and compares two different paradigms for image analysis in visual sensor networks (VSN), using a testbed based on battery-operated Beagle-Bone platforms with sight and wireless communica... 详细信息

ISBN: (纸本)9781450320276

关键词： visual features image analysis visual sensor networks

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Building embedded applications via REST services for the internet of things 13

Building embedded applications via REST services for the int...

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proceedings of the 11th acm conference on embedded networked sensor systems

作者： Floris Van den Abeele Jeroen Hoebeke Isam Ishaq Girum K. Teklemariam Jen Rossey Ingrid Moerman Piet Demeester Ghent University - iMinds

ISBN: (纸本)9781450320276

As embedded networks are evolving to open systems, it's becoming possible to create new applications on top of these existing embedded systems. However, developing new applications can be difficult due to the large diversity of protocols that exist today. In this paper, the authors demonstrate how employing the CoAP protocol can enable rapid application development by re-using well-known principles from the Web development world. Furthermore, we also demonstrate how a number of extensions to CoAP help to lower the barrier for developing applications even further.

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A robust iterative filtering technique for wireless sensor networks in the presence of malicious attacks 13

A robust iterative filtering technique for wireless sensor n...

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proceedings of the 11th acm conference on embedded networked sensor systems

作者： Mohsen Rezvani Aleksandar Ignjatovic Elisa Bertino Sanjay Jha University of New South Wales Purdue University

ISBN: (纸本)9781450320276

In this paper we introduce a novel sophisticated collusion attack scenario against a number of existing iterative filtering algorithms. To address this security issue, we propose an improvement for iterative filtering techniques by providing an initial approximation for such algorithms which makes them not only collusion robust, but also more accurate and faster converging.

关键词： collusion attacks WSN robust data aggregation

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