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检索条件"任意字段=First IEEE International Conference on Distributed Computing in Sensor Systems, DCOSS 2005"

共 1159 条记录，以下是161-170 订阅

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distributed Mining of Popular Paths in Road Networks 14

Distributed Mining of Popular Paths in Road Networks

引用

14th Annual international conference on distributed computing in sensor systems (dcoss)

作者： Katsikouli, Panagiota Astefanoaei, Maria Sinziana Sarkar, Rik Univ Edinburgh Informat Edinburgh Midlothian Scotland Univ Lyon INRIA INSA Lyon CITI Lyon France

ISBN: (纸本)9781538654705

We consider the problem of finding large scale mobility patterns. A common challenge in mobility tracking systems is that large quantity of data is spread out spatially and temporally across many tracking sensors. We thus devise a spatial sampling and information exchange protocol that provides probabilistic guarantees on detecting prominent patterns. For this purpose, we define a general notion of significant popular paths that can capture many different types of motion. We design a summary sketch for the data at each tracking node, which can be updated efficiently, and then aggregated across devices to reconstruct the prominent paths in the global data. The algorithm is scalable, even with large number of mobile targets. It uses a hierarchic query system that automatically prioritizes important trajectories - those that are long and popular. We show further that this scheme can in fact give good results by sampling relatively few sensors and targets, and works for streaming spatial data. We prove differential privacy guarantees for the randomized algorithm. Extensive experiments on real GPS data show that the method is efficient and accurate, and is useful in predicting motion of travelers even with small samples.

关键词： Trajectories road networks sensor networks distributed algorithm clustering spatial query processing differential privacy

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Proceedings - ieee international conference on distributed computing in sensor systems, dcoss 2015

Proceedings - IEEE International Conference on Distributed C...

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11th ieee international conference on distributed computing in sensor systems, dcoss 2015

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Poster: SCARAB² - Scalable, Robust and Adaptive on Board Ballistocardiography 14

Poster: SCARAB<SUP>2</SUP> - Scalable, Robust and Adaptive o...

引用

14th Annual international conference on distributed computing in sensor systems (dcoss)

作者： Jaehne-Raden, Nico Guetschleg, Henrike Kallenbach, Mario Feuerle, Thomas Kulau, Ulf PL Reichertz Inst Med Informat Hannover Germany TU Braunschweig Inst Flight Guidance Braunschweig Germany TU Braunschweig Inst Comp Engn Braunschweig Germany

ISBN: (纸本)9781538654705

Since years the amount of medical incidents on passenger flights is increasing. Beside the personal stress and strains for concerned passenger, every incident leads to huge costs for the specific airline. To avoid both, the SCARAB(2) project proposes to monitor passenger's health condition to identify imminent risk of health issues. Therefore, SCARAB(2) faces the challenge of using Ballistocardiography (BCG) in passenger planes and noisy environments respectively. With accelerometer arrays mounted on the seats, cardiac signals of each passenger can be recorded. These data are collected non-invasive while several parameters can be measured, e.g. respiratory rate, heart rate, etc. but even complex parameters like blood pressure can be derived. However, the acceleration of BCG signals is rather small and the shaking and vibrating (noisy) environment of planes leads to strong requirements on hardware, signal processing and meaningful evaluations.

关键词： aircraft ballistocardiography health enabling technology vital monitoring wireless sensor network

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Resilient distributed Diffusion for Multi-task Estimation 14

Resilient Distributed Diffusion for Multi-task Estimation

引用

14th Annual international conference on distributed computing in sensor systems (dcoss)

作者： Li, Jiani Koutsoukos, Xenofon Vanderbilt Univ Inst Software Integrated Syst 221 Kirkland Hall Nashville TN 37235 USA

ISBN: (纸本)9781538654705

distributed diffusion is a powerful algorithm for multi-task state estimation which enables networked agents to interact with neighbors to process input data and diffuse information across the network. Compared to a centralized approach, diffusion offers multiple advantages that include robustness to node and link failures. In this paper, we consider distributed diffusion for multi-task estimation where networked agents must estimate distinct but correlated states of interest by processing streaming data. By exploiting the adaptive weights used for diffusing information, we develop attack models that drive normal agents to converge to states selected by the attacker. The attack models can be used for both stationary and non-stationary state estimation. In addition, we develop a resilient distributed diffusion algorithm under the assumption that the number of compromised nodes in the neighborhood of each normal node is bounded by F and we show that resilience may be obtained at the cost of performance degradation. Finally, we evaluate the proposed attack models and resilient distributed diffusion algorithm using stationary and non-stationary multi-target localization.

关键词： Estimation Resilience Integrated circuits distributed databases Adaptation models Degradation Task analysis

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Adaptive Secrecy Amplification With Radio Channel Key Extraction 14

Adaptive Secrecy Amplification With Radio Channel Key Extrac...

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14th Annual international conference on distributed computing in sensor systems (dcoss)

作者： Nemec, Lukas Ostadal, Radim Matyas, Vashek Svenda, Petr Masaryk Univ Fac Informat Ctr Res Cryptog & Secur Brno Czech Republic

ISBN: (纸本)9781538654705

Wireless sensor networks with a large number of cheap low-power interconnected devices bring up challenging tasks when considering the security of their communications. Our paper addresses the issue how cryptographic link keys between communicating sensor nodes can be continuously re-secured even in presence of an attacker who can read the memory of captured nodes. distributed sensor systems enable us to use two different approaches to link key (re-)establishment - secrecy amplification and key extraction from radio channel fading. A secrecy amplification protocol lets a group of neighboring nodes cooperate together to re-secure previously compromised link keys using the non-compromised paths, and previous research showed the ability of secrecy amplification protocols to improve the security of a network from 50% of compromised link keys to 90% of secure keys. Key extraction then exploits radio channel properties to generate secret bits shared between two radio-enabled devices. We propose to combine secrecy amplification and key extraction into a dynamic protocol, where every node will dynamically decide what approach provides a greater benefit, considering the probability of getting the link key re-secured and the resources available. In principle, the more standard traffic messages are exchanged on a given link, the more beneficiary is the usage of key extractions. And less busy links then rely on secrecy amplification(1).

关键词： adaptive autonomous cryptography distributed protocol security wireless radio communication

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White Space Prediction for Low-power Wireless Networks: A Data-Driven Approach 14

White Space Prediction for Low-power Wireless Networks: A Da...

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14th Annual international conference on distributed computing in sensor systems (dcoss)

作者： Dhanapala, Indika S. A. Marfievici, Ramona Palipana, Sameera Agrawal, Piyush Pesch, Dirk Cork Inst Technol Nimbus Ctr Embedded Syst Res Cork Ireland United Technol Res Ctr Cork Ireland

ISBN: (纸本)9781538654705

In the 2.4 GHz unlicensed spectrum, the coexistence of WiFi, Bluetooth and ieee 802.15.4 devices generates increased channel contention. Notably, low-power wireless networks experience packet loss and delays due to interference. To improve the performance of low-power wireless networks under interference, we propose a data driven proactive approach based on interference modeling for white space prediction. We leverage statistical analysis of real-world traces from two indoor environments characterized by varying channel conditions to identify interference patterns. We characterize interference in terms of Inter-Arrival Time (IAT) and number of interfering signals and use a Gaussian Mixture Model (GMM) to accurately estimate the interference distribution as observed by the low-power wireless nodes. Then, we use a Hidden Markov Model (HMM) for white space prediction. Our validation w.r.t. real-world traces from two environments show that our GMM model can estimate interference with an accuracy higher than 94.7%. Moreover, the white space prediction evaluation shows an average accuracy of 97.7% and 89.5% across the two environments.

关键词： Cross Technology Interference low-power wireless communication wireless sensor networks interference modeling white space predictive models

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Design and Research of a distributed and Scalable Information Platform for Electric Power Sensing

Design and Research of a Distributed and Scalable Informatio...

引用

ieee Joint international Information Technology and Artificial Intelligence conference (ITAIC)

作者： Pengfei Zeng Yun Liang Wenfeng Tian Xiaoyan Sun Global Energy Interconnection Research Institute Co.Ltd. Beijing China Electric Power Intelligent Sensing Technology and Application State Grid Corporation Joint Laboratory Beijing China

ISBN: (数字)9781728152448

ISBN: (纸本)9781728152455

The development of power systems has called higher requirements for sensor information platforms, and sensor information platforms have become one key supporting technology for efficient and stable operation of power grids. This article first analyzes the current IoT reference architecture and the development trend of IoT platforms. Then, a distributed sustainable integrated architecture sensor information platform is proposed to cater to the sensor requirements of the current power grid. Specifically, for the architecture, the distributed design and continuous integration design of the platform are introduced in detail. Finally, based on the designed architecture in this article, the practical work carried out by the information platform is introduced. This platform can be used for partial discharge detection of power equipment, providing edge intelligent computing support for the detection and analysis of radio frequency pulse signals.

关键词： Partial discharges Image edge detection Computer architecture Market research Power grids Information technology Intelligent sensors

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PULSEHV: Opportunistic Data Transmissions over High Voltage Pulses for Smart Farming Applications 14

PULSEHV: Opportunistic Data Transmissions over High Voltage ...

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14th Annual international conference on distributed computing in sensor systems (dcoss)

作者： Huchtkoetter, Jana Reinhardt, Andreas Kulau, Ulf Tech Univ Clausthal Dept Informat Clausthal Zellerfeld Germany TU Braunschweig Inst Operating Syst & Comp Networks Braunschweig Germany

ISBN: (纸本)9781538654705

Wireless sensor Networks establish the foundation for a revolution in precision agriculture. As an integral part of smart farming systems, they can collect detailed information about crop health, air and soil conditions, and other relevant parameters to support agriculturists in their decision-making. Likewise, decentralized actuation (e.g., opening sprinkler valves) becomes possible when embedded sensor and actuator devices are deployed. From a technical point of view, smart farming systems strongly rely on embedded devices with wireless communication interfaces to cater for their convenient deployment. The operation of their wireless radio transceivers, however, often represents a significant energetic burden. This is particularly conspicuous when compared to the low-power microcontrollers that have become ubiquitous on current-generation sensing systems. We mitigate this issue by following an entirely different approach in this work, namely by exploiting the presence of electric fence energizers that are widely used in farming scenarios. Our solution called PULSEHV modulates data onto the high-voltage electric pulses emitted by fence energizers and thus enables broadcast communications at no extra overhead. As electrical fences commonly encircle entire patches of cropland, they act as large sending antennas;a proximity between deployed sensing devices and this antenna is implicitly ensured thereby. We practically demonstrate how PULSEHV accomplishes an effective data rate of 2.7 bit/s through the application of pulse position modulation. This limited throughput is counterbalanced by the fact that receiving the broadcast transmissions incurs virtually no energy overhead.

关键词： Wireless sensor networks Electric fences Wireless communication Receivers Agriculture Antennas Data communication

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Water Quality Prediction Approach Based on t-SNE and SA-BiLSTM

Water Quality Prediction Approach Based on t-SNE and SA-BiLS...

引用

ieee international conference on High Performance computing and Communications (HPCC)

作者： Jian Zhou Feifei Chu Xin Li Haoyang Ma Fu Xiao Lijuan Sun Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks College of Computer Nanjing University of Posts and Telecommunications Nanjing China

ISBN: (纸本)9781728176505

Water quality prediction is a basic work in water resource management. High performance computing and communications (HPCC) provide conditions for accurate water quality prediction. Water quality data are time and index correlated. In the meantime, the water quality data at different time contribute differently to the prediction result. According to these characteristics of water quality data, a water quality prediction approach based on t-distributed stochastic neighbor embedding (t-SNE) and self attention- bidirectional long short term memory neural network (SA-BiLSTM) is proposed in this paper. first, according to the index correlation of water quality data, a water quality feature extraction algorithm based on tSNE is proposed to obtain the effective features. Second, according to the time correlation and time difference of water quality data, a water quality prediction model based on SABiLSTM is established to predict the water quality accurately. Finally, the proposed approach is tested in two actual water quality datasets: Victoria Bay and Tai Lake. Experimental results show that compared with the state-of-the-art approaches, the proposed approach can make full use of the characteristics of water quality data to obtain better prediction performance.

关键词： Training Correlation High performance computing Water quality Transforms Predictive models Feature extraction

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A LoRaWAN-MAC Protocol Based on WSN Residual Energy to Adjust Duty Cycle

A LoRaWAN-MAC Protocol Based on WSN Residual Energy to Adjus...

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international conference on distributed computing systems

作者： Ting Xu Ming Zhao School of computer science and engineering Central South University Changsha China

ISBN: (数字)9781728170022

ISBN: (纸本)9781728170039

With the expansion of the scale of wireless sensor networks, people have higher requirements for the real-time nature of receiving information and the power consumption of network equipment. LoRa technology for low-power wide-area networks has been produced, but the energy consumption of network terminal nodes is still facing huge problems. Challenge. In this thesis, the REDS strategy based on LoRa technology is proposed. first, the residual energy is used to detect the preamble in the beacon, so that CAD can judge the effective preamble from the noise to avoid false wake up. Then use the remaining energy of the nodes in the remote Sink area of the network to activate the node and perform CAD channel detection. The node selects the communication access method according to the channel quality. When the network traffic load is low, the node communicates according to the CSMA-CA competition method. When the traffic load in the network is high, the nodes communicate and access according to the dynamic duty cycle method. It is proved that the network delay can be reduced by 29% and the energy efficiency can be improved by 19%. Thereby avoiding data collisions, improving channel utilization, and weighing the trade-off between network delay and network energy consumption.

关键词： Wireless sensor networks Energy consumption Protocols Power demand Telecommunication traffic Real-time systems Delays

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