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检索条件"任意字段=3rd International Symposium on Information Processing in Sensor Networks"

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Cenwits: A sensor-based loosely coupled search and rescue system using witnesses 05

Cenwits: A sensor-based loosely coupled search and rescue sy...

引用

3rd ACM international Conference on Embedded Networked sensor Systems, SenSys 2005

作者： Huang, Jyh-How Amjad, Saqib Mishra, Shivakant Department of Computer Science University of Colorado Campus Box 0430 Boulder CO 80309-0430 United States

ISBN: (纸本)159593054X

This paper describes the design, implementation and evaluation of a search and rescue system called CenWits. CenWits uses several small, commonly-available RF-based sensors, and a small number of storage and processing devices. It is designed for search and rescue of people in emergency situations in wilderness areas. A key feature of CenWits is that it does not require a continuously connected sensor network for its operation. It is designed for an intermittently connected network that provides only occasional connectivity. It makes a judicious use of the combined storage capability of sensors to filter, organize and store important information, combined battery power of sensors to ensure that the system remains operational for longer time periods, and intermittent network connectivity to propagate information to a processing center. A prototype of CenWits has been implemented using Berkeley Mica2 motes. The paper describes this implementation and reports on the performance measured from it. Categories and Subject Descriptors C.2.4 [Computer-Communication networks]: Distributed Systems General Terms Algorithms, Design, Experimentation. © 2005 ACM.

关键词： sensor networks

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A protocol based on nonrandom selecting of cluster-heads for wireless sensor networks

A protocol based on nonrandom selecting of cluster-heads for...

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2012 3rd international Conference on Intelligent Control and information processing, ICICIP 2012

作者： Li, Ji'an Zhou, Jianzhong Xiao, Jian School of Hydropower and Information Engineering Huazhong University of Science and Technology Wuhan Hubei 430074 China

ISBN: (纸本)9781457721427

Generally the energy of each node in wireless sensor networks is restricted, energy efficient and energy evenly distributed route protocol is indispensable to prolong the lifetime of the network. Although Low-Energy Adaptive Clustering Hierarchy (LEACH) and protocols based on LEACH are all low-energy hierarchies, some nodes in network still quickly use up their limited energy, because cluster-heads (CHs) are selected randomly and the number of CHs is fluctuating heavily regardless of energy remaining in the nodes. In this paper, we develop and analyze a protocol which forms clusters like LEACH when first round or after one invalid node or more appear. During other rounds previous CHs can transfer the role of CH to the most energy nodes in corresponding clusters, instead of random reselection of CHs. The information of the residual energy of each node is reported to its cluster-head (CH) in data package at the end of the rounds before invalid one node appears. Moreover number of CHs could change with number of nodes alive. Simulation result shows that the protocol can maximize the time of the network without nodes using up energy, called 'no deaths period'. © 2012 IEEE.

关键词： sensor nodes

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An energy-efficient hybrid data collection scheme in wireless sensor networks

An energy-efficient hybrid data collection scheme in wireles...

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3rd Intelligent sensors, sensor networks and information processing Conference

作者： Rasheed, Amar Mahapatra, Rabi Texas A&M Univ College Stn TX 77843 USA

ISBN: (纸本)9781424415014

We propose an energy-efficient hybrid data collection architecture based on controllably mobile infrastructure for a class of applications in which sensor networks provide both low-priority and high-priority data. High-priority data require a data delivery scheme with low latency and high fidelity. Meanwhile low-priority data may tolerate high-latency data delivery. Our approach exploits the design of a network that supports a hybrid data delivery scheme to enhance the network performance and reduces total network energy usage. In our system design two delivery schemes are deployed for purposes of comparison. The first is the traditional ad hoc approach to deliver high-priority data with high fidelity and low latency. The second presents a controllable infrastructure in the sensor field, which acts as low-priority data collection agent. Through simulations, we show that our proposed approach can provide substantial energy saving in this class of sensor application compared to the traditional multihop approach used alone.

关键词： Data acquisition

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A Comparative Study of Datasets for Cyber-attacks Detection in Wireless sensor networks 3

A Comparative Study of Datasets for Cyber-attacks Detection ...

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3rd international Conference on Computing and Machine Intelligence (ICMI)

作者： Ismail, Shereen Dawoud, Diana W. Reza, Hassan Univ N Dakota Sch Elect Engn & Comp Sci Grand Forks ND 58202 USA Univ Dubai Coll Engn & Informat Technol Dubai U Arab Emirates

ISBN: (纸本)9798350372977;9798350372984

Machine Learning (ML) is one of the effective security approaches to build cyber-attacks detection systems in Wireless sensor networks (WSNs). ML leverages the power of data analysis and pattern recognition to detect and classify various types of cyber-attacks to enhance the security of WSNs. A well-constructed dataset is one of the key factors that significantly impact the performance and generalization capabilities of any ML classifier trained on it. In this paper, we evaluate the effectiveness of two datasets: WSN-DS and WSN-BFSF which are specialized for Denial-of-Service (DoS) attacks targeting WSNs. We compare the two datasets in terms of their key characteristics, dataset quality, and ML classification performance. Mutual information (MI) and Recursive Feature Elimination (RFE) are used for feature selection. The dataset quality is measured using statistical information calculation. The ML classification performance is investigated for three supervised ensemble techniques: LightGBM, bagging, and stacking using evaluation metrics including probability of detection, probability of false alarm, probability of misdetection, classification accuracy, model size, and processing time.

关键词： Machine Learning Security cyber-attacks Detection Dataset Quality Classification Performance

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RETRACTED ARTICLE: An enhanced streaming pattern discovery algorithm for sensor networks

RETRACTED ARTICLE: An enhanced streaming pattern discovery a...

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作者： Cheng, Wei Shi, Haoshan Li, Dong School of Electronics and Information Northwestern Polytechnical University Xi'an China

ISBN: (纸本)9781424455386

This paper proposes an enhanced pattern discovery algorithm for data streams processing of sensor networks, in order to improve the performance of SPIRIT. The new algorithm adapts the optimized correction for tracking weights vectors, and the dynamic expanding in detecting the number of hidden variables. Simulation results show that compared to the original algorithm, the proposed algorithm can reduce the reconstruction error, increase the energy fraction of reconstruction, and decrease the number of hidden variables, so it extract the principal components and discover patterns among streams more efficiently. © 2010 IEEE.

关键词： sensor networks

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Efficient transfer of human motion data over a wireless delay tolerant network

Efficient transfer of human motion data over a wireless dela...

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3rd Intelligent sensors, sensor networks and information processing Conference

作者： Klingbeil, Lasse Wark, Tim Bidargaddi, Niranjan CSIRO ICT Ctr Autonomous Syst Lab Brisbane Qld Australia CSIRO ICT Ctr E Hlth Res Ctr Autonomous Syst Lab Brisbane Qld Australia

ISBN: (纸本)9781424415014

In this paper we describe the recent development of a wireless sensor network to monitor human motion and stream relevant events over the network. The events are locally generated based on accelerometer, magnetometer and gyroscope data, taken by a sensor node, which is worn by a person. A reduced radio transmission range enables implicit coarse-grain localization. To minimize the number of radio messages, the events indicate changes in the person's motion state. This paper describes a case study, where walking steps are detected using realtime wavelet analysis of accelerometer data, which can be used for finer grain localization purposes. To enable the reliable transfer of every event with a minimal radio packet overhead, a delay tolerant network using an implicit acknowledge protocol has been implemented and tested.

关键词： Delay tolerant networks

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Micro Implementation of Join Operation at Clustering Nodes of Heterogenous sensor networks

Micro Implementation of Join Operation at Clustering Nodes o...

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3rd international United information Systems Conference (UNISCON 2009)

作者： Vossough, Ehsan Getta, Janusz R. Univ Western Sydney Sch Comp & Math Campbelltown NSW Australia Univ Wollongong Sch Comp Sci & Software Engn Wollongong NSW Australia

ISBN: (纸本)9783642011115

A wireless sensor network, is in information technology infrastructure capable of processing theoretically unlimited sequences of data commonly called as data streams. dA heterogeneous sensor network consists of sensing nodes creating the streams of atomic data items and clustering nodes joining several data streams into one stream of complex data items and performing the preliminary data processing. This work investigates the microprogramming implementation of join operation at the clustering nodes. We define a data stream join operation and we prove that it can be computed in an incremental way. Then, we propose a number of optimisation techniques for its processing. The micro implementation of join operation on 8-bit microprocessor controller with memory and interfacing ports is derived from the incremental processing algorithm. We describe architecture of firmware implementation of join operation and we propose a network implementation of a number of join modules. The experimental results include testing of join operation on two and many data streams.

关键词： sensor network join operation data stream clustering data streams incremental processing optimization

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A Variational Message Passing Algorithm for sensor Self-Localization in Wireless networks

A Variational Message Passing Algorithm for Sensor Self-Loca...

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IEEE international symposium on information Theory (ISIT)

作者： Pedersen, Claus Pedersen, Troels Fleury, Bernard H. Aalborg Univ Sect Nav & Commun Dept Elect Syst Aalborg Denmark

ISBN: (纸本)9781457705953

We propose a novel algorithm for sensor self-localization in cooperative wireless networks where observations of relative sensor distances are available. The variational message passing (VMP) algorithm is used to implement a mean field solution to the estimation of the posterior probabilities of the sensor positions in an R-2 scenario. Extension to R-3 is straight-forward. Compared to non-parametric methods based on belief propagation, the VMP algorithm features significantly lower communication overhead between sensors. This is supported by performance simulations which show that the estimated mean localization error of the algorithm stabilizes after approximately 30 iterations.

关键词： Approximation algorithms Message passing Mobile communication Noise Signal processing algorithms VMP algorithm Wireless networks Wireless sensor networks belief propagation communication overhead cooperative communication cooperative wireless network estimated mean localization iterative methods mean field solution implementation nonparametric method performance simulation posterior probabilities estimation probability sensor placement sensor self-localization variational message passing algorithm wireless sensor networks

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Enabling Autonomic Power-Aware Management of Instrumented Data Centers

Enabling Autonomic Power-Aware Management of Instrumented Da...

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23rd IEEE international Parallel and Distributed processing symposium

作者： Jiang, Nanyan Parashar, Manish Rutgers State Univ Dept Elect & Comp Engn Ctr Auton Comp Piscataway NJ 08855 USA

ISBN: (纸本)9781424437511

sensor networks support flexible, non-intrusive and fine-grained data collection and processing and can enable online monitoring of data center operating conditions as well as autonomic data center management. This paper describes the architecture and implementation of an autonomic power aware data center management framework, which is based on the integration of embedded sensors with computational models and workload schedulers to improve data center performance in teens of energy consumption and throughput. Specifically, workload schedulers use online information about data center operating conditions obtained from the sensors to generate appropriate management policies. Furthermore, local processing within the sensor network is used to enable timely responses to changes in operating conditions and determine job migration strategies. Experimental results demonstrate that the framework achieves near optimal management, and in-network analysis enables timely response while reducing overheads.

关键词： sensor networks

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Local aggregation in the internet of things

Local aggregation in the internet of things

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3rd international Conference on sensor networks, sensorNETS 2014

作者： Coelho, Bruno Graça Rocha, Rui M. Instituto Superior Técnico Technical University of Lisbon Av. Prof. Dr. Cavaco Silva 2744-016 Porto Salvo Portugal Instituto de Telecomunicações Instituto Superior Técnico Technical University of Lisbon Av. Prof. Dr. Cavaco Silva 2744-016 Porto Salvo Portugal

ISBN: (纸本)9789897580017

The Internet of Things concept is leaving its toddler age where essentially it is a research issue and becoming a key player in many current applications where Smart Cities are perhaps its greatest exponent. In such realworld scenarios, efficient large scale machine-to-machine communication is of utmost importance. However, the current 6LoWPAN standard, proposed by the IETF, has some efficiency problems which can make its application to the Internet of Things very difficult to scale up. This work transforms the existent 6LoWPAN implementation enabling a data-centric solution that will overcome the current viability issues of 6LoWPAN in these networks through the integration of an in-network data processing aggregation mechanism. The proposed data aggregation mechanism increases dramatically the sustainability and network lifetime of 6LoWPAN based sensor networks, contributing directly to the Internet of Things revolution.

关键词： Wireless sensor networks

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