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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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A Neural-Network-Based Realization of In-Network Computation for the Internet of Things

A Neural-Network-Based Realization of In-Network Computation...

引用

IEEE international Conference on Communications (ICC) / Wireless Communications symposium / 3rd Workshop on Optical Wireless Communications (OWC)

作者： Kaminski, Nichoas Macaluso, Irene Di Pascale, Emanuele Nag, Avishek Brady, John Kelly, Mark Nolan, Keith Guibene, Wael Doyle, Linda Trinity Coll Dublin CONNECT Ctr Dublin Ireland Intel Labs Dublin Ireland

ISBN: (纸本)9781467389990

Ultra-dense Internet of Things (IoT) networks and machine type communications herald an enormous opportunity for new computing paradigms and are serving as a catalyst for profound change in the evolution of the Internet. We explore leveraging the communication within IoT to serve data processing by appropriately shaping the aggregate behavior of a network to parallel more traditional computation methods. This paper presents an element of this vision, whereby we map the operations of an artificial neural network onto the communication of an IoT network for simultaneous data processing and transfer. That is, we provide a framework to treat a network holistically as an artificial neural network, rather than placing neural networks within the network. The operation of components of a neural network, neurons and connections between neurons, are performed by the various elements of the IoT network, i.e., the devices and their connections. The proposed approach reduces the latency in delivering processed information and supports the locality of information inherent to IoT by removing the need for transfer to remote data processing sites.

关键词： Internet of Things Artificial Neural networks Wireless sensor networks

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Target Coverage-Aware Clustering for Directional sensor networks 15

Target Coverage-Aware Clustering for Directional Sensor Netw...

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15th IEEE international symposium on Parallel and Distributed processing with Applications (ISPA) / 16th IEEE international Conference on Ubiquitous Computing and Communications (IUCC)

作者： Sharmin, Selina Nur, Fernaz Narin Razzaque, Md Abdur Rahman, Md Mustafizur Univ Dhaka Dept Comp Sci & Engn Dhaka 1000 Bangladesh

ISBN: (纸本)9781538637906

In this work, we develop a target coverage-aware clustering algorithm for directional sensor networks, namely TRACE, that enhances the network lifetime. The TRACE nodes exploit single-hop neighborhood information only to elect cluster heads (CHs) and gateways. Thus, the TRACE is a fully distributed and light-weight clustering algorithm. The TRACE CHs greedily maximize the number of targets covered by as minimum number of sensor nodes as possible. The performances of the proposed TRACE system are studied on Network Simulator version 3 (ns- 3), and the results show that, it outperforms a state-of-the-art- work.

关键词： Cluster Directional sensor networks NS3 Target Coverage

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Multi-Breath: Separate Respiration Monitoring for Multiple Persons with UWB Radar

Multi-Breath: Separate Respiration Monitoring for Multiple P...

引用

IEEE Annual international Computer Software and Applications Conference (COMPSAC)

作者： Yanni Yang Jiannong Cao Xiulong Liu Xuefeng Liu The Hong Kong Polytechnic University ShenZhen Research Institute Shenzhen China The Hong Kong Polytechnic University Hong Kong China Beihang University Beijing China

Human respiration state is an important indicator to reflect health conditions. Recent advances in wireless human sensing have enabled device-free respiration monitoring using narrow-band wireless signals, which, however, fail to map the estimated respiration states to multiple persons. In this paper, we present Multi-Breath, a UWB-based system to achieve separate respiration monitoring for multiple persons. The UWB radar can accurately measure the travelling distance of the signals, which helps to separate the signals affected by different persons and map the detected respiration patterns to the corresponding persons with the location information. However, the radar signal time series of each person are quite noisy due to the multi-path effects caused by the respiration movements of other persons, making it difficult to accurately estimate the respiration state. To overcome this challenge, we propose to transform the UWB radar signal matrices of different persons as separate RGB images to reveal the respiration pattern of each individual. Then, the image processing operations, including image smoothing, edge detection, dilation and erosion, are applied to identify the breathing cycles. Finally, the respiration state, including the respiration rate and the presence of apnea, is estimated via blob detection and calibration. Extensive experiments show that the mean absolute error on respiration rate estimation is 0.3 - 0.6 bpm, and the percentage of missed and false detected apnea is 3% - 7%.

关键词： Ultra wideband radar Monitoring Time series analysis Wireless communication Wireless sensor networks Estimation

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Demo Abstract: A Motion-Triggered Stereo Camera for 3D Experience Capture

Demo Abstract: A Motion-Triggered Stereo Camera for 3D Exper...

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international symposium on information processing in sensor networks (IPSN)

作者： Bashima Islam Md Tamzeed Islam Shahriar Nirjon University of North Carolina Chapel Hill

This demo is an implementation of our motion-triggered camera system that captures, processes, stores, and transmits 3D visual information of a real-world environment using a low-cost camera-based sensor system that is constrained by its limited processing capability, storage, and battery life. This system can be used in applications such as capturing and sharing 3D content in the social media, training people in different professions, and post-facto analysis of an event. This system uses off-the-shelf hardware and standard computer vision algorithms. Its novelty lies in the ability to optimally control camera data acquisition and processing stages to guarantee the desired quality of captured information and battery life. The design of the controller is based on extensive measurements and modeling of the relationships between the linear and angular motion of a camera and the quality of generated 3D point clouds as well as the battery life of the system. To achieve this, we 1) devise a new metric to quantify the quality of generated 3D point clouds, 2) formulate an optimization problem to find an optimal trigger point for the camera system and prolongs its battery life while maximizing the quality of captured 3D environment and 3) make the model adaptive so that the system evolves and its performance improves over time.

关键词： Three-dimensional displays Cameras Batteries Computer vision Solid modeling Optimization Standards

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Glimpse.3D: A Motion-Triggered Stereo Body Camera for 3D Experience Capture and Preview

Glimpse.3D: A Motion-Triggered Stereo Body Camera for 3D Exp...

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international symposium on information processing in sensor networks (IPSN)

作者： Bashima Islam Md Tamzeed Islam Shahriar Nirjon UNC at Chapel Hill

The Glimpse.3D is a body-worn camera that captures, processes, stores, and transmits 3D visual information of a real-world environment using a low-cost camera-based sensor system that is constrained by its limited processing capability, storage, and battery life. The 3D content is viewed on a mobile device such as a smartphone or a virtual reality headset. This system can be used in applications such as capturing and sharing 3D content in the social media, training people in different professions, and post-facto analysis of an event. Glimpse.3D uses off-the-shelf hardware and standard computer vision algorithms. Its novelty lies in the ability to optimally control camera data acquisition and processing stages to guarantee the desired quality of captured information and battery life. The design of the controller is based on extensive measurements and modeling of the relationships between the linear and angular motion of a body-worn camera and the quality of generated 3D point clouds as well as the battery life of the system. To achieve this, we 1) devise a new metric to quantify the quality of generated 3D point clouds, 2) formulate an optimization problem to find an optimal trigger point for the camera system that prolongs its battery life while maximizing the quality of captured 3D environment, and 3) make the model adaptive so that the system evolves and its performance improves over time.

关键词： Three-dimensional displays Cameras Batteries Visualization Mobile handsets Standards Solid modeling

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A Flexible IoT Energy Monitoring Solution

A Flexible IoT Energy Monitoring Solution

引用

international Multidisciplinary Conference on Computer and Energy Science (SpliTech)

作者： Danielly B. Avancini Simion G.B. Martins Ricardo A.L. Rabelo Petar Solic Joel J.P. C. Rodrigues National Institute of Telecommunications (Inatel) Santa Rita do Sapucaf MG Brazil Federal University of Piaui (UFPI) Teresina PI Brazil University of Split Split Croatia Instituto de Telecomunicacoes Portugal

ISBN: (纸本)9781538662960

Energy management is a current major concern due to several reasons. Increasing energy consumption brought new challenges to energy networks, leading their development towards an intelligent direction with the advent of smart meters. Intelligence in energy systems provides results in many heterogeneous applications taking advantage from IoT, such as energy delivery efficiency, reliability, and fault recovery. Energy in smart environments is an important research topic of IoT since energy efficiency is vital for the environment and global sustainability. Smart meters create the basis for intelligent energy networks, providing real-time information regarding quality and usage of appliances, data consumption, and energy flow information. Besides, the use of an energy management system, capable for collecting data from distinct sensors, generate various reports using collected data, and perform alarm reports based on data analysis, is a need for both consumers and suppliers. The authors proposed, designed, and implemented a cost effective three phase smart energy meter, IoT enabled, multi-protocol and modular, capable to collect, process, and transmit several electric energy related information, mainly focused on consumer-side, to any smart energy control system. It is also proposed the use of a specific software platform to manage collected information, performing data analysis and post-processing. The proposed platform is client-server based, expandable, and future-proof, allowing further integration.

关键词： Meters Intelligent sensors Monitoring Energy consumption Wireless sensor networks Wireless communication

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Leak Detection in Water Pipeline by Means of Pressure Measurements for WSN 3

Leak Detection in Water Pipeline by Means of Pressure Measur...

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3rd international Conference on Advanced Technologies for Signal and Image processing (ATSIP)

作者： Ayadi, Aya Ghorbel, Oussama Obeid, Abdelfateh Bensaleh, M. S. Abid, Mohamed Gabes Univ Natl Engineers Sch Gabes CES Res Lab Gabes Tunisia Sfax Univ Natl Engineers Sch Gabes Sfax Tunisia King Abdulaziz City Sci & Technol Riyadh Saudi Arabia Technopark Sfax Digital Res Ctr CRNS Sfax Tunisia

ISBN: (纸本)9781538605516

During the last decade, many types of research have put prominence on the potential feasibility and sustainable management of water pipeline leakage. Unlike the traditional methods, using wireless sensors networks is greatly helpful in terms of high performance, low cost and simple exploitation. However, many researchers have concentrated their efforts on solutions based on WSNs for pipeline monitoring in relation to sensing techniques, mathematical formulation, reading acquisition techniques, and information processing methods. This study investigates various leakage detection formulations based on WSN in order to identify, locate and estimate the leak size. In addition, a computerized techniques based on the analysis of pressure measurement in water distribution system is presented to find the defective pipe.

关键词： Pipeline monitoring Leak detection Localization Wireless sensor networks

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A Factoring Algorithm for Probabilistic Localization in Underwater sensor networks

A Factoring Algorithm for Probabilistic Localization in Unde...

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IEEE international Conference on Communications (ICC) / Wireless Communications symposium / 3rd Workshop on Optical Wireless Communications (OWC)

作者： Abougamila, Salwa Elmorsy, Mohammed Elmallah, Ehab S. Univ Alberta Dept Comp Sci Edmonton AB T6G 2E8 Canada

ISBN: (纸本)9781467389990

In this paper we consider Underwater sensor networks (UWSNs) employing nodes that move freely with water currents. Localization of nodes in UWSNs depends on collaborative work of nodes in the network since GPS signals fade quickly underwater. Using the concept of probabilistic graphs to capture node location information, we formalize a problem called the Probabilistic Localization Problem (P-LOC) that calls for computing the probability that a given target node in a given probabilistic graph can localize itself during some interval of time. We then devise an iterative algorithm that gives exact solution to the problem if allowed to execute a sufficient number of iterations, otherwise, the algorithm provides a lower bound on the solution. We present numerical results to show the performance of the algorithm.

关键词： Probabilistic logic Global Positioning System Ad hoc networks Wireless sensor networks Electronic mail Computational modeling Trajectory

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An Electric Power sensor Data Oriented Data Cleaning Solution 14

An Electric Power Sensor Data Oriented Data Cleaning Solutio...

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14th international symposium on Pervasive Systems, Algorithms and networks (I-SPAN) / 11th international Conference on Frontier of Computer Science and Technology (FCST) / 3rd international symposium of Creative Computing (ISCC)

作者： Liu, He Chen, Jiangqi Huang, Fupeng Li, Han Global Energy Interconnect Res Inst Adv Comp & Big Data Technol Lab SGCC Beijing Peoples R China North China Univ Technol Coll Comp Sci Beijing Key Lab Integrat & Anal Large Scale Strea Beijing Peoples R China

ISBN: (纸本)9781538608401

With the development of Smart Grid Technology, more and more electric power sensor data are utilized in various electric power systems. To guarantee the effectiveness of such systems, it is necessary to ensure the quality of electric power sensor data, especially when the scale of electric power sensor data is large. In the field of large-scale electric power sensor data cleaning, the computational efficiency and accuracy of data cleaning are two vital requirements. In order to satisfy these requirements, this paper presents an electric power sensor data oriented data cleaning solution, which is composed of a data cleaning framework and a data cleaning method. Based on Hadoop, the given framework is able to support large-scale electric power sensor data acquisition, storage and processing. Meanwhile, the proposed method which achieves outlier detection and reparation is implemented on the basis of a time-relevant k-means clustering algorithm in Spark. The feasibility and effectiveness of the proposed method is evaluated on a data set which originates from charging piles. Experimental results show that the proposed data cleaning method is able to improve the data quality of electric power sensor data by finding and repairing most outliers. For large-scale electric power sensor data, the proposed data cleaning method has high parallel performance and strong scalability.

关键词： electric power senser data data cleaning k-means clustering outlier Spark

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IoT based wearable device using WSN technology for miners

IoT based wearable device using WSN technology for miners

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IEEE international Conference on Recent Trends in Electronics, information & Communication Technology (RTEICT)

作者： Maviya Noorin KV Suma VLSI & Embedded Systems Ramaiah Institute of Technology Bangalore Karnataka India Ramaiah Institute of Technology Bangalore Karnataka India

ISBN: (数字)9781538624401

ISBN: (纸本)9781538624418

Safety is of great importance in mining regions. An IoT based wearable device inculcating the safety features for mine workers is developed. It consists of helmet module and the base station module. sensors used in this wearable device are the temperature sensor (DHT11), humidity sensor (DHT11), gas sensor (MQ4) and collision detection sensor (SW420). The various quantities monitored are communicated by wireless sensor Network (WSN) technology. Helmet detection circuit checks for the presence of the device. The base station module consists of personal computer having access to the cloud. An IoT platform is used to update the real time data to the cloud, which can be accessed from anywhere around the restricted area. Miner is alerted using Organic LED (OLED) for temperature as well as humidity monitoring while a buzzer alert is made available to detect the gas level in the mine. Communication is through the inbuilt wi-fi of the controller. A notification alert is sent to the supervisor if any unusual situation is encountered. Thus a wearable device incorporating the various sensors, alerting mechanism and communication system is developed to enhance safety of the miner.

关键词： Temperature sensors Fuel processing industries Gas detectors Biomedical monitoring Wireless sensor networks Safety

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