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

共 6276 条记录，以下是121-130 订阅

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Demo: Taking Advantage of the Shock Hazard: How to Use an Electric Fence for Data Transfers 14

Demo: Taking Advantage of the Shock Hazard: How to Use an El...

引用

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

作者： Huchtkoetter, Jana Reinhardt, Andreas Tech Univ Clausthal Dept Informat Clausthal Zellerfeld Germany

ISBN: (纸本)9781538654705

the deployment of embedded sensing devices on croplands and pastures is an enabling element for precision agriculture applications. Changing conditions (e.g., different crops being grown), however, may require the occasional reconfiguration of the resulting networks of wireless sensors, e.g., to modify data reporting rates or synchronize internal clocks. In this demo we showcase an opportunistic broadcast channel to forward such configuration messages to embedded systems. the transmitting station is realized by means of an electric fence energizer, a device frequently utilized in agricultural settings. On the receiver side, only little hardware efforts are required to capture the high-voltage pulses and decode transmitted configuration messages.

关键词： Electric fences Wireless sensor networks Wireless communication Receivers Microcontrollers sensors Data communication

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Decentralizing and Adding Portability to an IoT Test-bed through Smartphones

Decentralizing and Adding Portability to an IoT Test-bed thr...

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9th ieee international conference on distributed computing in sensor systems (DCOSS)

作者： Nikoletseas, Sotiris Rapti, Maria Raptis, theofanis P. Veroutis, Konstantinos Univ Patras Dept Comp Engn & Informat GR-26110 Patras Greece Comp Technol Inst & Press Diophantus CTI Patras Greece

ISBN: (纸本)9781479946181

In this work, we develop an IPv6 enabled smart building test-bed facility, by combining sensing and communication devices and functionalities. We address the Internet of things paradigm by using diverse heterogeneous devices such as smartphones, sensor motes, NFC technology and traditional electrical devices, each one serving a specific role in the test-bed facility. Also, we extend a basic actuation component by making it self-aware, in terms of supported resources. those enhancements allow us to enrich the test-bed's capabilities in terms of M2M communication, portability and decentralization of the actuation process. Finally, we provide a simple smart room scenario for a tunable combination of energy efficiency and comfort, which automatically adjusts the room's light level based on ambient conditions and user preferences and demonstrate the feasibility of our system.

关键词： Deployment Emerging wireless technologies Smartphones Test-beds Wireless sensor Networks Smartphone deployment Wireless sensor networks Portability communication equipment User preferences IPv6 decentralization

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Batterfly: Battery-Free Daily Living Activity Recognition System through distributed Execution over Energy Harvesting Analog PIR sensors 17

Batterfly: Battery-Free Daily Living Activity Recognition Sy...

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17th Annual ieee international conference on distributed computing in sensor systems (ieee DCOSS)

作者： Stirapongsasuti, Sopicha Misaki, Shinya Matsui, Tomokazu Suwa, Hirohiko Yasumoto, Keiichi Nara Inst Sci & Technol Ikoma Nara 6300192 Japan

ISBN: (纸本)9781665439299

In recent years, the use of energy harvesting (EH) sensors has led to the proposal of activity sensing systems that are easy to install and do not require maintenance such as battery replacement. In this study, we aim to construct a system that can not only sense but also recognize activities of daily living (ADLs) using only power generated by EH sensors. To achieve this goal, in this paper, we propose a fully EH-based ADL recognition system called Batterfly, which consists of EH analog PIR sensor nodes that can operate with indoor light, continuously senses human movement, and recognizes daily activities through machine learning. We applied the distributed execution method of the activity recognition model with five sensor nodes to five types of activities by five participants, and found that the system could recognize them with an average accuracy of 63.59%, comparable to the performance of the centralized model running on a gateway.

关键词： wireless sensor network energy harvesting distributed computing

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Poster: Frequency Scaling in Time Synchronization for Wireless sensor Networks 14

Poster: Frequency Scaling in Time Synchronization for Wirele...

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

作者： Asgarian, Farzad Najafi, Khalil Univ Michigan Elect & Comp Engn Dept Ann Arbor MI 48109 USA

ISBN: (纸本)9781538654705

Many wireless sensor networks rely on synchronization protocols to correlate measurements on different nodes. In order to save power in these applications, we consider two stages for the nodes as synchronization timeslot and the synchronous task that can run on different clock frequencies. Implemented on a Bluetooth Low Energy (BLE) chip, decreasing the clock frequency from 16 MHz to 1 MHz results in 2x and 7.5x reduction in crystal oscillator and timer run currents, respectively. Experimental results show that when the synchronization timeslot runs on the 16 MHz clock and then the clock frequency reduces to 1 MHz for executing the task, synchronization accuracies are similar to the case where only the high frequency clock is used.

关键词： time synchronization frequency scaling Bluetooth

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Design and Development of an Adjustable Angle sensor Based on Rotary Potentiometer for Measuring Finger Flexion 6

Design and Development of an Adjustable Angle Sensor Based o...

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6th ieee international conference on Control System, computing and Engineering (ICCSCE)

作者： Othman, Azizul Hamzah, Norhazimi Hussain, Zakaria Baharudin, Rohaiza Rosli, Anis Diyana Ani, Adi Izhar Che UiTM Pulau Pinang Fac Elect Engn Permatang Pauh Malaysia

ISBN: (纸本)9781509011780

In this paper, an adjustable angle sensor based on rotary potentiometer for measuring and monitoring finger flexion is proposed. Most of the current system is unadjustable, inaccurate, costly and hard to calibrate. the proposed system in this study consists of a rotary potentiometers and adjustable case, which makes it adjustable, compact and lightweight with the ability to produce a better measurement result. As the rotary potentiometer rotated due to the motion of the finger, the joint angles are calculated by measuring the change in resistance of the rotary potentiometer. the proposed system can widely be applied for the angle measurement systems at small and complex structure surface such as finger joint, which require to measure finger flexion for developing related device such as robotic hand control system, virtual reality or teleoperation systems. the experiment study shows that the proposed system is adjustable and has better accuracy, small repeatability error and more reliable compared to the popular flex sensor.

关键词： finger flexion rotary potentiometer GUI wearable sensor

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Energy Efficient Data Collection via Supervised In-Network Classification of sensor Data 12

Energy Efficient Data Collection via Supervised In-Network C...

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12th ieee Annual international conference on distributed computing in sensor systems (DCOSS)

作者： Rossi, Lorenzo A. Krishnamachari, Bhaskar Kuo, C. -C. Jay Univ Southern Calif Ming Hsieh Dept Elect Engn Los Angeles CA 90089 USA

ISBN: (纸本)9781509014590

In wireless sensor networks, data collection (or gathering) is the task of transmitting rounds of measurements of physical phenomena from the sensor nodes to a sink node. We study how to increase the efficiency of data collection via supervised in-network classification of rounds of measurements. We assume that the end users of the data are interested only in rounds characterized by certain patterns. Hence the wireless sensor network uses classification to select the rounds of measurements that are transmitted to the base station. the energy consumption is potentially reduced by avoiding the transmission of rounds of measurements that are not of interest to the end users. Innetwork classification requires distributed feature extraction and transmission. Such tasks can be less or more energy expensive than the transmission of measurements without classification. We provide analytical results and simulations on real data to show requirements and key trade-offs for the design of in-network data classification systems that can improve the collection efficiency. Besides, we study the impact of spatial subsampling of the sensor data (a way to further decrease energy consumption) on the classification performance.

关键词： Classification (of information)

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distributed Deep Neural Networks over the Cloud, the Edge and End Devices 37

Distributed Deep Neural Networks over the Cloud, the Edge an...

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37th ieee international conference on distributed computing systems (ICDCS)

作者： Teerapittayanon, Surat McDanel, Bradley Kung, H. T. Harvard Univ Cambridge MA 02138 USA

ISBN: (纸本)9781538617915

We propose distributed deep neural networks (DDNNs) over distributed computing hierarchies, consisting of the cloud, the edge (fog) and end devices. While being able to accommodate inference of a deep neural network (DNN) in the cloud, a DDNN also allows fast and localized inference using shallow portions of the neural network at the edge and end devices. When supported by a scalable distributed computing hierarchy, a DDNN can scale up in neural network size and scale out in geographical span. Due to its distributed nature, DDNNs enhance sensor fusion, system fault tolerance and data privacy for DNN applications. In implementing a DDNN, we map sections of a DNN onto a distributed computing hierarchy. By jointly training these sections, we minimize communication and resource usage for devices and maximize usefulness of extracted features which are utilized in the cloud. the resulting system has built-in support for automatic sensor fusion and fault tolerance. As a proof of concept, we show a DDNN can exploit geographical diversity of sensors to improve object recognition accuracy and reduce communication cost. In our experiment, compared with the traditional method of offloading raw sensor data to be processed in the cloud, DDNN locally processes most sensor data on end devices while achieving high accuracy and is able to reduce the communication cost by a factor of over 20x.

关键词： distributed deep neural networks deep neural networks dnn ddnn embedded dnn sensor fusion distributed computing hierarchies edge computing cloud computing

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Design and Implementation of a Robust sensor Data Fusion System for Unknown Signals

Design and Implementation of a Robust Sensor Data Fusion Sys...

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6th ieee international conference on distributed computing in sensor systems

作者： Kim, Younghun Schmid, thomas Srivastava, Mani B. Univ Calif Los Angeles Dept Elect Engn Los Angeles CA 90024 USA

ISBN: (纸本)9783642136504

In this work, we present a robust sensor fusion system for exploratory data collection, exploiting the spatial redundancy in sensor networks. Unlike prior work, our system design criteria considers a heterogeneous correlated noise model and packet loss, but no prior knowledge of signal characteristics. the former two assumptions are both common signal degradation sources in sensor networks, while the latter allows exploratory data collection of unknown signals. through both a numerical example and an experimental study on a large military site, we show that our proposed system reduces the noise in an unknown signal by 58.2% better than a comparable algorithm.

关键词： Exploratory Data Collection Robust distributed Sensing Data Fusion

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Wireless sensor Network Data Description and Encoding in Heterogeneous Building systems

Wireless Sensor Network Data Description and Encoding in Het...

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7th ieee international conference on distributed computing in sensor systems (DCOSS)

作者： Conway, Chris Barnes, Matthew Univ Edinburgh Sch Informat Ctr Speckled Comp Edinburgh EH8 9AB Midlothian Scotland

ISBN: (纸本)9781457705137

this paper presents initial results and future directions for data description and payload encodings for heterogeneous networks in IP based building intelligence systems. the efficiency of several open standards for sensor data representation are evaluated along with a consideration of the complexity of implementation and suitability for use in development of 6lowPAN based intelligent building systems. A combination of a simplified generic XML schema for data description combined with Google Protobuffer encoding is suggested as the basis for further development of the architecture as this combines simple, platform independent implementation for developers with efficient compression and payload encoding for limited bandwidth 6lowPAN networks.

关键词： Architecture Buildings Encoding Google Protobuffer Internet Internet protocol Payloads Protocols Wireless sensor networks XML XML schema building management systems data description data encoding data handling heterogeneous network intelligent building sy

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A new broadcast-Key Management Scheme for distributed Wireless sensor Networks

A new broadcast-Key Management Scheme for Distributed Wirele...

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6th international conference on Mobile Adhoc and sensor systems

作者： Zeng, YingZhi Xia, Yan Su, JinShu Zhao, BaoKang Yu, WanRong Natl Univ Def Technol Sch Comp Changsha Hunan Peoples R China

ISBN: (纸本)9781424451142

the management of broadcast-key is one of the most important security problems in the distributed wireless sensor networks. Firstly, the broadcast-key should be calculated and used by each node. Secondly, the broadcast-key should also be updated according to the variation of security condition. In this paper, we propose a new broadcast-key management scheme which has many advantages over the famous mu TESLA protocol. the analysis in this paper demonstrates its feasibility, efficiency and security for broadcast-key establishment and renewing in distributed Wireless sensor Networks.

关键词： broadcast-key key management wireless sensor networks network security

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