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

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ARM-based robot platform for sensor networks 12

ARM-based robot platform for sensor networks

引用

10th acm conference on embedded networked sensor systems, SenSys 2012

作者： Antaw, Fiach Kusy, Branislav School of ITEE University of Queensland Australia CSIRO ICT Centre Australia

ISBN: (纸本)9781450311694

Robot platforms have been proposed to address challenges of wireless sensor network deployments in dynamic environments. Enabling a fraction of nodes to be mobile can lead to improvements in sensing coverage, network lifetime, and network connectivity. We present the design of Arm- Bot, a Cortex-M3 based robot platform, that natively supports TinyOS applications and system services. ArmBot is cost-efficient as it is built from off-the-shelf hardware components and versatile due to its power-efficient ARM processor core. We evaluate the platform in the context of core sensor network services, such as time-synchronization, and analyze its energy efficiency under varying mobility and computation loads. Copyright © 2012 acm.

关键词： ARM processors

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Dynamic switching-based reliable flooding in low-duty-cycle wireless sensor networks 12

Dynamic switching-based reliable flooding in low-duty-cycle ...

引用

10th acm conference on embedded networked sensor systems, SenSys 2012

作者： Cheng, Long Gu, Yu He, Tian Niu, Jianwei Singapore University of Technology and Design Singapore University of Minnesota Twin Cities United States Beihang University Beijing China

ISBN: (纸本)9781450311694

Reliable flooding in wireless sensor networks (WSNs) is desirable for a broad range of applications and network oper- ations. However, it is a challenging problem to ensure 100% flooding coverage efficiently considering the combined ef- fects of low-duty-cycle operation and unreliable wireless transmission. In this work, we propose a novel dynamic switching-based reliable flooding (DSRF) framework, which is designed as an enhancement layer to provide efficient and reliable flooding over a variety of existing flooding tree struc- tures in low-duty-cycle WSNs. through comprehensive sim- ulations, we demonstrate that DSRF can effectively improve both flooding energy efficiency and latency. Copyright © 2012 acm.

关键词： Wireless sensor networks

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Using anisotropic magnetoresistive (AMR) sensor arrays for electric sub-metering 12

Using anisotropic magnetoresistive (AMR) sensor arrays for e...

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10th acm conference on embedded networked sensor systems, SenSys 2012

作者： Viswanathan, Sreejaya Chen, Binbin Nguyen, Hoang Hai Chiang, Jerry T. Jung, Deokwoo Yau, David K.Y. Advanced Digital Sciences Center Singapore

ISBN: (纸本)9781450311694

In this demonstration, we present a working prototype that uses an Anisotropic Magnetoresistive (AMR) sensor array to estimate the electricity usage on individual branches of an electricity panel. Our design enables the general public to retrofit an electricity panel: one simply needs to attach a compact AMR sensor array onto the panel. Our system can then exploit the inherent power patterns of electric loads to automatically infer the system parameters and estimate the per-branch currents accurately. Even for branches carrying small loads (e.g., a 30W fan), the estimation error of our system is below 10%. Copyright © 2012 acm.

关键词： Anisotropy

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Collaborative reactive behavior in heterogeneous wireless sensor networks 12

Collaborative reactive behavior in heterogeneous wireless se...

引用

10th acm conference on embedded networked sensor systems, SenSys 2012

作者： McClurg, Jedidiah Trajcevski, Goce Yanutola, Jesse Dept. of Electrical Engineering and Computer Science Northwestern University Evanston IL 60208 United States

ISBN: (纸本)9781450311694

Wireless sensor Networks (WSN) which contain heterogeneous nodes and monitor multiple phenomena present a unique set of challenges in regards to efficient management of reactive behavior. the ECA (on Event if Condition then Action) paradigm from Active Databases offers a solution via event-based synchronization which provides reduced energy consumption compared to continuous monitoring. In our demo, we show how to utilize this approach via compilation of system-level ECA triggers to mote-specific trigger code. We also demonstrate the practicality of the approach by constructing a heterogeneous WSN of TelosB/SunSPOT motes and using our tools to implement reactive behaviors based on temperature/luminance data. Copyright © 2012 acm.

关键词： Energy utilization

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Pattern-based matrix-size optimization algorithm for compressive sensing in real-world wireless sensor networks 12

Pattern-based matrix-size optimization algorithm for compres...

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10th acm conference on embedded networked sensor systems, SenSys 2012

作者： Ito, Akito Namatame, Naoya Nakazawa, Jin Tokuda, Hideyuki Faculty of Policy Management Keio University Japan Faculty of Environment and Information Studies Keio University Japan Graduate School of Media and Governance Keio University Japan

ISBN: (纸本)9781450311694

Compressive Sensing (CS) is a novel approach for data representation, which can represent signals at a rate below the Nyquist rate with low computation costs on encoder. For these characteristics, CS is very suitable for low power sensor nodes to save power consumption that is a primary problem inWireless sensor Networks (WSN). But there are many problems when using CS in a real environment. One of these is that pattern of sensor values change dynamically. It decreases the efficiency of power consumption and accuracy of recovery. To solve the problem, we propose Pattern-based Matrix-size Optimization Algorithm (PMOA), which aims to improve the accuracy of exact recovery and power consumption. Copyright © 2012 acm.

关键词： Compressed sensing

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sensor network architecture for soil and weather data extraction and database generation 12

Sensor network architecture for soil and weather data extrac...

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10th acm conference on embedded networked sensor systems, SenSys 2012

作者： Agrawal, Rakshit Atray, Mridu Krishna Sundari, S. CSC India Pvt. Ltd. Noida India Department of Computer Science Indian Institute of Technology Delhi India Jaypee Institute of Information Technology Noida India

ISBN: (纸本)9781450311694

In this paper, the authors design a sensor network architecture for soil and weather data collection and database generation. A multi-sensor device containing sensors for extracting soil characteristics operates as the first component of this architecture. It connects to a mobile phone which further connects to a base server system. An XML file containing location and time specific data travels through the network with soil information. At the base server, the system fetches weather information based on location parameters and a database is created where XML files provide values for every entry. the authors describe few potential applications of this architecture and express how this database can grow more with continuous participation. Copyright © 2012 acm.

关键词： sensor networks

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City-scale traffic estimation from a roving sensor network 12

City-scale traffic estimation from a roving sensor network

引用

10th acm conference on embedded networked sensor systems, SenSys 2012

作者： Aslam, Javed Lim, Sejoon Pan, Xinghao Rus, Daniela College of Computer and Information Science Northeastern University United States CSAIL Massachusetts Institute of Technology United States DSO National Laboratories Singapore

ISBN: (纸本)9781450311694

Traffic congestion, volumes, origins, destinations, routes, and other road-network performance metrics are typically collected through survey data or via static sensors such as traffic cameras and loop detectors. this information is often out-of-date, difficult to collect and aggregate, difficult to analyze and quantify, or all of the above. In this paper we conduct a case study that demonstrates that it is possible to accurately infer traffic volume through data collected from a roving sensor network of taxi probes that log their locations and speeds at regular intervals. Our model and inference procedures can be used to analyze traffic patterns and conditions from historical data, as well as to infer current patterns and conditions from data collected in real-time. As such, our techniques provide a powerful new sensor network approach for traffic visualization, analysis, and urban planning. Copyright © 2012 acm.

关键词： sensor networks

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A fast gradient projection algorithm for efficient cross-correlation via sparse representation in sensor networks 12

A fast gradient projection algorithm for efficient cross-cor...

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10th acm conference on embedded networked sensor systems, SenSys 2012

作者： Misra, Prasant Yang, Mingrui Hu, Wen Jha, Sanjay School of Computer Science and Engineering University of New South Wales Sydney Australia Autonomous Systems Laboratory CSIRO ICT Centre Brisbane Australia

ISBN: (纸本)9781450311694

Cross-correlation is a popular signal processing technique used for obtaining reliable range information. Recently, a practical and efficient implementation of cross-correlation (via sparse approximation) was demonstrated on resource constrained wireless sensor network platforms, where the key idea was to compress the received signal samples, and transfer them to central device where the range information was retrieved by 1-minimization. Although, this mechanism yields accurate ranging results, its applicability is limited due to its slow execution speed and inaccurate recovery of the correlation peak magnitude, which implicitly provides the useful measure of signal-to-noise ratio. In this work, we propose Fast Gradient Projection (F-GP), a new 1- minimization algorithm, which overcomes the existing limitations, and provides fast and accurate ranging. Copyright © 2012 acm.

关键词： Signal to noise ratio

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Prius: Generic hybrid trace compression for wireless sensor networks 12

Prius: Generic hybrid trace compression for wireless sensor ...

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10th acm conference on embedded networked sensor systems, SenSys 2012

作者： Sundaram, Vinaitheerthan Eugster, Patrick Zhang, Xiangyu Purdue University West Lafayette IN United States

ISBN: (纸本)9781450311694

Several diagnostic tracing techniques (e.g., event, power, and control-flow tracing) have been proposed for run-time debugging and postmortem analysis of wireless sensor networks (WSNs). Traces generated by such techniques can become large, defying the harsh resource constraints of WSNs. Compression is a straightforward candidate to reduce trace sizes, yet is challenged by the same resource constraints. Established trace compression algorithms perform unsatisfactorily under these constraints. We propose Prius, a novel hybrid (offline/online) trace compression technique that enables application of established trace compression algorithms for WSNs and achieves high compression rates and significant energy savings. We have implemented such hybrid versions of two established compression techniques for TinyOS and evaluated them on various applications. Prius respects the resource constraints of WSNs (5% average program memory overhead) whilst reducing energy consumption on average by 46% and 49% compared to straightforward online adaptations of established compression algorithms and the state-of-the-art tracespecific compression algorithm respectively. Copyright © 2012 acm.

关键词： Wireless sensor networks

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How was your journey? Uncovering routing dynamics in deployed sensor networks with multi-hop network tomography 12

How was your journey? Uncovering routing dynamics in deploye...

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10th acm conference on embedded networked sensor systems, SenSys 2012

作者： Keller, Matthias Beutel, Jan thiele, Lothar Computer Engineering and Networks Laboratory ETH Zurich Switzerland

ISBN: (纸本)9781450311694

In the context of wireless data collection, a common application class in wireless sensor networks, this paper presents a novel, non-intrusive algorithm for the precise reconstruction of the packet path, the per-hop arrival order and the per-hop arrival times of individual packets from partial in-band information at runtime. Information is reconstructed outside the network immediately after a packet is received at the sink. After establishing the correctness of our proposed algorithm, we evaluate its performance in testbed experiments using CTP and Dozer, two well-known data collection protocols. Foremost interested in obtaining a better understanding of the performance of long-term real-world deployments, Multi-hop Network Tomography (MNT) is applied to in total more than 140 million packets that have been obtained from three multi-year WSN deployments of the PermaSense project. the capabilities of the performance analysis of deployed systems using the proposed algorithm and methodology are demonstrated in a case study. Copyright © 2012 acm.

关键词： Wireless sensor networks

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