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EnviroMic: Towards cooperative storage and retrieval in audio sensor networks

EnviroMic: Towards cooperative storage and retrieval in audi...

引用

27th international conference on distributed computing systems, ICDCS'07

作者： Luo, Liqian Cao, Qing Huang, Chengdu Abdelzaher, Tarek Stankovic, John A. Ward, Michael Dept. of Computer Science Univ.of Illinois Urbana-Champaign Dept. of Computer Science Univ. of Virginia Dept.of Natural Resources and Environmental Sciences Univ. of Illinois Urbana-Champaign

ISBN: (纸本)0769528376

This paper presents EnviroMic, a novel distributed acoustic monitoring, storage, and trace retrieval system. Audio represents one of the least exploited modalities in sensor networks to date. The relatively high frequency and large size of audio traces motivate distributed algorithms for coordinating recording tasks, reducing redundancy of data stored by nearby sensors, filtering out silence, and balancing storage utilization in the network. Applications of acoustic monitoring with EnviroMic range from the study of mating rituals and social behavior of animals in the wild to audio surveillance of military targets. EnviroMic is designed for disconnected operation, where the luxury of having a basestation cannot be assumed. We implement the system on a TinyOS-based platform and systematically evaluate its performance through both indoor testbed experiments and a preliminary outdoor deployment. Results demonstrate up to a 4-fold improvement in effective storage capacity of the network compared to uncoordinated recording. © 2007 ieee.

关键词： sensor networks

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A compilation framework for macroprogramming networked sensors

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3rd ieee international conference on distributed computing in sensor systems

作者： Pathak, Animesh Mottola, Luca Bakshi, Amol Prasanna, Viktor K. Picco, Gian Pietro Univ So Calif Ming Hsieh Dept EE Syst Los Angeles CA 90089 USA Politecn Milan Dept Elect & Informat Milan Italy Univ Trent Dept Informat & Commun Technol Trento Italy

ISBN: (纸本)9783540730897

Macroprogramming-the technique of specifying the behavior of the system, as opposed to the constituent nodes-provides application developers with high level abstractions that alleviate the programming burden in developing wireless sensor network (WSN) applications. However, as the semantic gap between macroprogramming abstractions and node-level code is considerably wider than in traditional programming, converting the high level specification to running code is a daunting process, and a major hurdle to the acceptance of macroprogramming. In this paper, we propose a general compilation framework for a data-driven macroprogramming language that allows for plugging in different modules implementing various stages of compilation. We also demonstrate an actual instantiation of our framework by showing an end-to-end solution for compiling macro-programs. Our compiler provides the final code to be deployed on real nodes as well as an estimate of the costs the running system will incur, e.g., in terms of messages exchanged. We compared the auto-generated code against a hand-coded version for the same application behavior to verify the outcome of our compiler.

关键词： sensor nodes

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Attack probability based deterministic key predistribution mechanism for non-uniform sensor deployment

Attack probability based deterministic key predistribution m...

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27th international conference on distributed computing systems Workshops, ICDCSW'07

作者： Yu, Chia-Mu Li, Cheng-Chung Lu, Chun-Shien Lee, Der-Tsai Kuo, Sy-Yen Institute of Information Science Academia Sinica Taipei 115 Taiwan Department of Electrical Engineering National Taiwan University Taipei 106 Taiwan Graduate Institute of Computer Science and Info. Eng. National Taiwan University Taipei 106 Taiwan

ISBN: (纸本)0769528384

Secure communication is a challenging problem in wireless sensor networks. In this paper, we investigate an attack probability-based deterministic key predistribution method for non-uniform sensor deployment. First, we design a reasonable model for group-based deployment to estimate the attack probability of each deployment group. Second, our proposed model further considers the location of data sink to meet the practical situation. Third, based on this attack model, a deterministic key predistribution mechanism is presented for group-based deployment. The proposed method mainly aims at preserving the integrity of network so that the functionality of each sensor node can be used. To evaluate the proposed method, the issues of memory overhead, communication overhead, and the fraction of total communications compromised after adversaries launch node capture attacks are studied analytically and numerically. © 2007 ieee.

关键词： Wireless sensor networks

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A weighted moving average-based approach for cleaning sensor data

A weighted moving average-based approach for cleaning sensor...

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27th international conference on distributed computing systems, ICDCS'07

作者： Zhuang, Yongzhen Chen, Lei Wang, X. Sean Lian, Jie Department of CSE Hong Kong University of Science and Technology Hong Kong Hong Kong Department of CS University of Vermont Burlington VT Department of E and CE University of Waterloo Waterloo

ISBN: (纸本)0769528376

Nowadays, wireless sensor networks have been widely used in many monitoring applications. Due to the low quality of sensors and random effects of the environments, however, it is well known that the collected sensor data are noisy. Therefore, it is very critical to clean the sensor data before using them to answer queries or conduct data analysis. Popular data cleaning approaches, such as the moving average, cannot meet the requirements of both energy efficiency and quick response time in many sensor related applications. In this paper, we propose a hybrid sensor data cleaning approach with confidence. Specifically, we propose a smart weighted moving average (WMA) algorithm that collects confidence data from sensors and computes the weighted moving average. The rationale behind the WMA algorithm is to draw more samples for a particular value that is of great importance to the moving average, and provide higher confidence weight for this value, such that this important value can be quickly reflected in the moving average. Based on our extensive simulation results, we demonstrate that, compared to the simple moving average (SMA), our WMA approach can effectively clean data and offer quick response time. © 2007 ieee.

关键词： Wireless sensor networks

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Improving event-to-sink throughput in wireless sensor networks 07

引用

3rd ieee international conference on distributed computing in sensor systems, dcoss 2007

作者： Chen, Wang Li, Xiao Department of Computer Science and Engineering Michigan State University East Lansing MI 48824 United States

ISBN: (纸本)3540730893

Disaster relief is an important application of sensor networks, in which bursting data needs to be collected in a short period to the sink through a multi-hop wireless network. In general, packets containing the reported data have few correlations among each other, such that meaningful information can be inferred from partially received packets. For better understanding of monitored events, it is more important to capture the total number of unique reports rather than to reliably deliver each individual packet. Therefore, in the case of monitoring disaster filed with bursting data, communication channel throughput has higher priority than the channel reliability. Under this circumstance, we revisit the sensor network transport protocols, which use hop-by-hop recovery to provide reliable data transmission over unreliable links. We found that the complex recovery mechanism, while assuring high reliable individual packet delivery, reduces channel throughput when measured data is reported at high rate. To provide optimal data transport in a sensor network with bursting data generation, we propose a light weight sink centric transport protocol, which maximizes the channel throughput by minimizing the interference of packet recovery process. We implement the sink centric transport protocol in TinyOS and evaluate its performance in the TOSSIM simulator. The comparison shows that our proposed approach outperforms the hop-by-hop recovery approach in terms of event reporting throughput and transmission costs. © Springer-Verlag Berlin Heidelberg 2007.

关键词： Recovery

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Separating the wheat from the chaff: Practical anomaly detection schemes in ecological applications of distributed sensor networks

引用

3rd ieee international conference on distributed computing in sensor systems

作者： Bettencourt, Luis M. A. Hagberg, Aric A. Larkey, Levi B. Los Alamos Natl Lab Div Theoret Los Alamos NM 87545 USA Los Alamos Natl Lab Comp & Comp Sci Div Los Alamos NM 87545 USA

ISBN: (纸本)9783540730897

We develop a practical, distributed algorithm to detect events, identify measurement errors, and infer missing readings in ecological applications of wireless sensor networks. To address issues of non-stationarity in environmental data streams, each sensor-processor learns statistical distributions of differences between its readings and those of its neighbors, as well as between its current and previous measurements. Scalar physical quantities such as air temperature, soil moisture, and light flux naturally display a large degree of spatiotemporal coherence, which gives a spectrum of fluctuations between adjacent or consecutive measurements with small variances. This feature permits stable estimation over a small state space. The resulting probability distributions of differences, estimated online in real time, are then used in statistical significance tests to identify rare events. Utilizing the spatio-temporal distributed nature of the measurements across the network, these events are classified as single mode failures-usually corresponding to measurement errors at a single sensor- or common mode events. The event structure also allows the network to automatically attribute potential measurement errors to specific sensors and to correct them in real time via a combination of current measurements at neighboring nodes and the statistics of differences between them. Compared to methods that use Bayesian classification of raw data streams at each sensor, this algorithm is more storage-efficient, learns faster, and is more robust in the face of non-stationary phenomena. Field results from a wireless sensor network (sensor Web) deployed at Sevilleta National Wildlife Refuge are presented.

关键词： Measurement errors

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Simulation of distributed wireless networked control systems over MANET using OPNET

Simulation of distributed wireless networked control systems...

引用

2007 ieee international conference on Networking, Sensing and Control, ICNSC'07

作者： Hasan, M.S. Yu, Hongnian Griffiths, Alison Yang, T.C. Faculty of Computing Engineering and Technology Staffordshire University United Kingdom Department of Engineering and Design University of Sussex United Kingdom

ISBN: (纸本)1424410762

This paper investigates the simulation of distributed Wireless Networked Control systems (WNCS) over Mobile Ad-hoc NETwork (MANET). The simulation model includes multiple plants with a single controller and random node mobility. The widely used network simulation software Optimised Network Engineering Tool (OPNET) has been utilised to implement a realistic wireless signal propagation model using path loss and fading effects. System performances for two ad-hoc network routing protocols: DSR and AODV have been explored. © 2007 ieee.

关键词： Wireless sensor networks

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Compromising location privacy in wireless networks using sensors with limited information

Compromising location privacy in wireless networks using sen...

引用

27th international conference on distributed computing systems, ICDCS'07

作者： Zhu, Ye Bettati, Riccardo Electrical and Computer Engineering Department Cleveland State University Cleveland OH 44115 United States Department of Computer Science Texas A and M University College Station TX 77843-3112 United States

ISBN: (纸本)0769528376

We propose a methodology to identify nodes in fully anonymized wireless networks using collections of very simple sensors. Based on time series of counts of anonymous packets provided by the sensors, we estimate the number of nodes using Principal Component Analysis. We then proceed to separate the collected packet data into traffic flows that, with help of the spatial diversity in the available sensors, can be used to estimate the location of the wireless nodes. Our simulation experiments indicate that the estimators show high accuracy and high confidence for anonymized TCP traffic. Additional experiments indicate that the estimators perform very well in anonymous wireless networks that use traffic padding. © 2007 ieee.

关键词： Wireless sensor networks

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Statistical trast establishment in wireless sensor networks

Statistical trast establishment in wireless sensor networks

引用

13th international conference on Parallel and distributed systems, ICPADS

作者： Probst, Matthew J. Kasera, Sneha Kumar School of Computing University of Utah

ISBN: (纸本)9781424418909

We present a new distributed approach that establishes reputation-based trust among sensor nodes in order to identify malfunctioning and malicious sensor nodes and minimize their impact on applications. Our method adapts well to the special characteristics of wireless sensor networks, the most important being their resource limitations. Our methodology computes statistical trust and a confidence interval around the trust based on direct and indirect experiences of sensor node behavior. By considering the trust confidence interval, we are able to study the tradeoff between the tightness of the trust confidence interval with the resources used in collecting experiences. Furthermore, our approach allows dynamic scaling of redundancy levels based on the trust relationship between the nodes of a wireless sensor network. Using extensive simulations we demonstrate the benefits of our approach over an approach that uses static redundancy levels in terms of reduced energy consumption and longer life of the network. We also find that high confidence trust can be computed on each node with a relatively small memory overhead and used to determine the level of redundancy operations among nodes in the system. © 2007 ieee.

关键词： sensor nodes

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LIMOS: a Lightweight Multi-threading Operating System dedicated to Wireless sensor Networks

LIMOS: a Lightweight Multi-threading Operating System dedica...

引用

3rd international conference on Wireless Communications, Networking and Mobile computing (WiCOM 2007)

作者： Zhou, Hai-ying Hou, Kun-mean Harbin Inst Technol Sch Comp Sci & Technol Harbin 150006 Peoples R China Univ Blaise Pascal CNRS Clermont Ferrand II UMR 6158LIMOS Lab Clermont Ferrand France

ISBN: (纸本)9781424413119

The operating systems of Wireless sensor networks should he suitable for strict-constrained system resources and support two operation modes: event-driven & multi-threading. Traditional embedded operating systems are generally not fit for WSN applications. This paper presents a smart, resource-aware, low-power-consuming and distributed real-time micro-kernel: LIMOS. LIMOS adopts an event & thread two-level system architecture and a two-level scheduling policy: 'non pre-emption priority based' high level scheduling for events;and 'preemptive priority-based' low level scheduling for threads. The scheduling scheme is predictable and deterministic with respect to real-time applications. A unique system interface and a system primitive-pair, i.e. tuple and IN & OUT, are proposed for all kinds of system synchronization and communication. LIMOS integrates the advantages of tinyOS and SDREAM. It allows running in different modes. The combination of two kernels extends greatly the application range of LIMOS from simple single-task to multitask applications. In present, LIMOS has been evaluated on several hardware platforms and ported for different applications.

关键词： WSN tinyOS LIMOS LINDA

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