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检索条件"任意字段=6th IEEE International Conference on Distributed Computing in Sensor Systems"

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Wireless sensor deployment for 3D coverage with constraints

Wireless sensor deployment for 3D coverage with constraints

引用

6th international conference on Networked Sensing systems, INSS2009

作者： Andersen, Tycho Tirthapura, Srikanta Dept. of Electrical and Computer Engineering Iowa State University United States

ISBN: (纸本)9781424463145

We consider the problem of deploying wireless sensors in a three dimensional space to achieve a desired degree of coverage, while minimizing the number of sensors placed. Typical sensor deployment scenarios impose constraints on possible locations of the sensors, and on the desired coverage, but currently there is no unified way to handle these constraints in optimizing the number of sensors placed. We present a novel approach called discretization which allows us to cast the sensor deployment problem as a discrete optimization problem, and hence apply well-understood and flexible discrete optimization techniques for sensor deployment. Our results show that this approach yields solutions that nearly minimize the number of sensors used, while providing a high degree of coverage. Further, unlike typical approaches to sensor deployment, where 3D coverage is significantly more complex than 2D coverage, discretization is equally easy to apply for 2D as well as 3D coverage. ©2009 ieee.

关键词： Optimization

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Smart dust sensor network with piezoelectric energy harvesting

Smart dust sensor network with piezoelectric energy harvesti...

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6th international conference on Information Technology and Applications, ICITA 2009

作者： Shwe, Yee Win Liang, Yung C. Department of Electrical and Computer Engineering National University of Singapore Kent Ridge Singapore 119 260 Singapore

ISBN: (纸本)9789810830298

Piezoelectric materials can be used to convert mechanical energy, such as vibration into electrical energy which can be used to power up devices in a smart dust sensing network. this piezoelectric mechanism exhibits great potentials to resolve many energy supply problems in sensor network to supply energy to radio frequency (RF) circuits, microcontroller, micro electromechanical systems (MEMS) and sensors placed in remote locations. this paper presents the detailed development work of a self powered wireless sensor node which harvests the power energy from surrounding machinery vibration by the piezoelectric generator. the detailed design on a temperature sensing system is described in this paper. this approach is very useful in application in real-time remote monitoring of the machine temperature by sensor network in industries. © ICITA 2009.

关键词： Piezoelectricity

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Detection and Localization sensor Assignment with Exact and Fuzzy Locations

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5th ieee international conference on distributed computing in sensor systems

作者： Rowaihy, Hosam Johnson, Matthew P. Pizzocaro, Diego Bar-Noy, Amotz Kaplan, Lance La Porta, thomas Preece, Alun Penn State Univ Dept Comp Sci & Engn University Pk PA 16802 USA CUNY Grad Ctr Dept Comp Sci New York NY 10017 USA Cardiff Univ Sch Comp Sci Cardiff CF10 3AX S Glam Wales US Army Res Lab Adelphi MD 20783 USA

ISBN: (纸本)9783642020841

sensor networks introduce new resource allocation problems in which sensors need to be assigned to the tasks they best help. Such problems have been previously studied in simplified models in which utility from multiple sensors is assumed to combine additively. In this paper we study more complex utility models, focusing on two particular applications: event detection and target localization. We develop distributed algorithms to assign directional sensors of different types to multiple simultaneous tasks using exact location information. We extend our algorithms by introducing the concept of fuzzy location which may be desirable to reduce computational overhead and/or to preserve location privacy. We show that our schemes perform well using both exact or fuzzy location information.

关键词： Location

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Mote-Based Online Anomaly Detection Using Echo State Networks

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5th ieee international conference on distributed computing in sensor systems

作者： Chang, Marcus Terzis, Andreas Bonnet, Philippe Univ Copenhagen Dept Comp Sci Copenhagen Denmark Johns Hopkins Univ Dept Comp Sci Baltimore MD 21218 USA

ISBN: (纸本)9783642020841

sensor networks deployed for scientific data acquisition must inspect measurements for faults and events of interest. Doing so is crucial to ensure the relevance and correctness of the collected data. In this work we unify fault and event detection under a general anomaly detection framework. We use machine learning techniques to classify measurements that resemble a training set as normal and measurements that significantly deviate from that set as anomalies. Furthermore, we aim at an anomaly detection framework that can be implemented on motes, thereby allowing them to continue collecting scientifically-relevant data even in the absence of network connectivity. the general consensus thus far has been that learning-based techniques are too resource intensive to be implemented on mote-class devices. In this paper, we challenge this belief We implement an anomaly detection algorithm using Echo State Networks (ESN), a family of sparse neural networks, on a mote-class device and show that its accuracy is comparable to a PC-based implementation. Furthermore, we show that ESNs detect more faults and have fewer false positives than rule-based fault detection mechanisms. More importantly, while rule-based fault detection algorithms generate false negatives and misclassify events as faults, ESNs are general, correctly identifying a wide variety of anomalies.

关键词： Anomaly detection Real-time Wireless sensor Networks

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Impact of Correlation in Node Locations on the Performance of distributed Compression

Impact of Correlation in Node Locations on the Performance o...

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6th international conference on Wireless On-Demand Network systems and Services

作者： Oldewurtel, Frank Riihijaervi, Janne Maehoenen, Petri Rhein Westfal TH Aachen Dept Wireless Networks D-52072 Aachen Germany

ISBN: (纸本)9781424433742

In this paper we analyze the impact of correlation in both node locations and sensed phenomenon on the performance of distributed compression. In particular, we consider the optimization of Wireless sensor Networks (WSNs) in realistic environments. distributed Source Coding (DSC) is a compression technique performed by, for example, data gathering applications in which energy consumption and bandwidth usage are important factors. In this work, we consider different node deployment strategies and include in our study models of sensed data with different correlation types in order to model more realistic WSNs. Our evaluation takes into account the transmission overhead and signal processing costs associated with distributed compression. the energy model applied makes use of measurements obtained from real experiments. From the analysis we derive a novel metric which is essentially based on correlations of node locations and sensed phenomena. this metric enables the performance estimation or WSNs applying DSC prior to the costly real deployment. Furthermore, we show that significant average energy savings and average lifetime extensions are possible using DSC under different node deployment strategies and different data correlation structures.

关键词： Energy conservation

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A switch agent for wireless sensor nodes with dual interfaces: Implementation and evaluation

A switch agent for wireless sensor nodes with dual interface...

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2009 6th international conference on Broadband Communications, Networks and systems, BROADNETS 2009

作者： Zheng, Tao Radhakrishnan, Sridhar Sarangan, Venkatesh School of Computer Science University of Oklahoma Norman OK 73019-6151 United States Computer Science Department Oklahoma State University Stillwater OK 74078 United States

ISBN: (纸本)9789639799493

Data generation in wireless sensor networks could be bursty as it is dictated by the presence or absence of events of interest that generate these data. While conventional sensor nodes possessed only one radio interface, next generation sensor nodes are expected to have two (possibly more) radio interfaces, each with different range, capacity, and power consumption. Equipping sensor nodes with dual radios has its own benefits and can be quite useful in handling bursty traffic while at the same time satisfying the application's delivery requirements. In this paper, we propose an adaptive interface switch agent that intelligently selects the interface to be used for data transmission at a sensor node based on the data burst length while taking into consideration power consumption, throughput, and end-to-end delay. the proposed work generalizes earlier works in this area to enable both the source nodes and intermediate data forwarding nodes to initiate the activation of high power radios so that they can be utilized to a higher degree for converge-cast communication. We have performed extensive simulations with sensor nodes containing both ieee 802.15.4 and ieee 802.11 compatible radios. Our simulation results indicate that: (i) the end-to-end delay and throughput achieved by the proposed interface switch agent are comparable to those achieved in a network of sensor nodes equipped only with ieee 802.11 radios, (ii) the energy consumed in the network using our interface switch agent is a fraction of that consumed in a network of the ieee 802.11 sensor nodes and is comparable to that of sensors using only ieee 802.15.4 radios.

关键词： sensor nodes

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Finding Symbolic Bug Patterns in sensor Networks

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5th ieee international conference on distributed computing in sensor systems

作者： Khan, Mohammad Maifi Hasan Abdelzaher, Tarek Han, Jiawei Ahmadi, Hossein Univ Illinois Dept Comp Sci Urbana IL 61801 USA

ISBN: (纸本)9783642020841

this paper presents a failure diagnosis algorithm for summarizing and generalizing patterns that lead to instances of anomalous behavior in sensor networks. Often multiple seemingly different event patterns lead to the same type of failure manifestation. A hidden relationship exists, in those patterns, among event attributes that is somehow responsible for the failure. For example, in some system, a message might always get corrupted if the sender is more than two hops away from the receiver (which is a distance relationship) irrespective of the senderId and receiverId. To uncover such failure-causing relationships, we present a new symbolic pattern extraction technique that identifies and symbolically expresses relationships correlated with anomalous behavior. Symbolic pattern extraction is a new concept in sensor network debugging that is unique in its ability to generalize over patterns that involve different combinations of nodes or message exchanges by extracting their common relationship. As a proof of concept, we provide synthetic traffic scenarios where we show that applying symbolic pattern extraction can uncover more complex bug patterns that are crucial to the understanding of real causes of problems. We also use symbolic pattern extraction to diagnose a real bug and show that;it generates much fewer and more accurate patterns compared to previous approaches.

关键词： symbolic pattern interactive bugs wireless sensor network

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Energy-efficient medium access for wireless sensor networks under slow fading conditions

Energy-efficient medium access for wireless sensor networks ...

引用

2009 6th international conference on Broadband Communications, Networks and systems, BROADNETS 2009

作者： Wang, Changmian Yin, Liuguo Øien, Geir E. Let Department NTNU Trondheim Norway School of Aerospace Tsinghua University Beijing China

ISBN: (纸本)9789639799493

In this work, we first study and then propose an optimal version on the medium access control mechanism known as carrier sense multiple access with collision avoidance (CSMAlCA). this protocol is adopted by many wireless communication standards, such as the ieee 802.11 series and ieee 802.15.4 (ZigBee).Wefirst identify its drawbacks in a slow fading channel environment, and show that the CSMA/CA can be very energy-inefficient, especially in many wireless sensor network (WSN) applications where the traffic demand is *** particular, we study communication over a Rayleigh fading channel, which we model by means of a time invariant Markov process. We then show that the decision regarding the optimal access time on such a channel can be formulated as an optimization problem, and that an optimal solution can be accurately derived. We also simulate a ZigBee node in a Rayleigh fading environment and the result shows that optimum channel access can save significant amount of energy compared to conventional CSMA/CA.

关键词： Zigbee

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Adaptation of wireless sensor network for farming industries

Adaptation of wireless sensor network for farming industries

引用

6th international conference on Networked Sensing systems, INSS2009

作者： Kwong, Kae Hsiang Sasloglou, Konstantinos Goh, Hock Guan Wu, Tsung Ta Stephen, Bruce Gilroy, Michael Tachtatzis, Christos Glover, Ian A. Michie, Craig Andonovic, Ivan Department of Electronic and Electrical Engineering University of Strathclyde 204 George Street Glasgow United Kingdom

ISBN: (纸本)9781424463145

In recent years, wireless sensor networks (WSN) have received considerable attention within agriculture and farming as a means to reduce operational costs and enhance animal health care. this paper examines the application of WSNs to livestock monitoring and the issues related to hardware realization. the core of this study is to overcome the aforementioned drawbacks by using alternative cheap, low power consumption sensor nodes capable of providing real-time communication at a reasonable hardware cost. In this paper, various factors i.e. radio frequency selection, channel bandwidth, etc. have been evaluated to provide a solution which can obtain real-time data from diary cattle whilst conforming to the limitations associated with WSNs implementations. ©2009 ieee.

关键词： sensor nodes

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A Channel Aware Contention based Forwarding scheme in Wireless sensor Network

A Channel Aware Contention based Forwarding scheme in Wirele...

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6th international conference on Embedded Software and systems

作者： Zhou, Xiaofang Qu, Yugui Ji, Yusheng Univ Sci & Technol China Dept Elect Engn & Informat Sci Hefei 230027 Anhui Peoples R China State Key Lab Networking & Switching Technol Beijing Peoples R China Natl Inst Informat Informat Syst Architect Sci Res Tokyo Japan

ISBN: (纸本)9780769536781

this paper presents a channel aware contention based forwarding scheme (CACF) for wireless sensor network (WSN). In order to improve the probability of correct packet transmission in wireless channel and ensuring successful contention, CACF selects the appropriate relay node by the integrated consideration of access probability, routing cost metrics and wireless channel characteristics. In the scheme, a well-defined access space mechanism (ASM) is proposed and used as criterion for relay selection during each contention round. the simulation results show that CACF achieves better network performance in terms of packet delivery ratio and improves the node efficiency consequently.

关键词： forwarding crosslayer WSN

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