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

共 30780 条记录，以下是4441-4450 订阅

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Optimal Placement of DG and Controlled Impedance FCL Sizing Using Salp Swarm Algorithm 2nd

Optimal Placement of DG and Controlled Impedance FCL Sizing ...

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2nd international conference on Power Engineering, computing and Control, PECCON 2019

作者： Vasavi, C. Gowri Manohar, T. Department of EEE Sri Venkateswara University Tirupati India

ISBN: (纸本)9789811572401

Smart grids have become one of the most emerging technologies in power systems by its fashionable design, reliability, and efficiency. Smart grid is the integration of multiple DGs. In this context, DG (distributed generation) plays a significant role in power system. When DG is connected to the distribution network, the impact of fault currents is high which can cause protection coordination failure in smart grids. In this paper, three phase fault current which is the highest fault current in distribution network and its effect on DG is discussed. Controlled Impedance Fault Current Limiter (CI FCL) combination of both resistive and reactive component is used to maintain fault currents. The problem is formulated as integer, non-linear constrained problem. Optimal location of DG and CI FCL sizing is determined by using Salp Swarm Algorithm (SSA) and it is tested on ieee 33 and 69 standard distribution bus systems in MATLAB2017. A comparison between the developed SSA and PSO is executed in terms of complexity, No. of iterations, and computational time. The results show that the proposed method is effective. © 2021, Springer Nature Singapore Pte Ltd.

关键词： distributed power generation

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The Tradeoff Between Coverage and Computation in Wireless Networks

The Tradeoff Between Coverage and Computation in Wireless Ne...

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ieee international conference on Communications (ieee ICC) / Workshop on NOMA for 5G and Beyond

作者： Koyuncu, Erdem Univ Illinois Dept Elect & Comp Engn Chicago IL 60607 USA

ISBN: (纸本)9781728150895

We consider a distributed edge computing scenario consisting of several wireless nodes that are located over an area of interest. Specifically, some of the "master" nodes are tasked to sense the environment (e.g., by acquiring images or videos via cameras) and process the corresponding sensory data, while the other nodes are assigned as "workers" to help the computationally-intensive processing tasks of the masters. A new tradeoff that has not been previously explored in the existing literature arises in such a formulation: On one hand, one wishes to allocate as many master nodes as possible to cover a large area for accurate monitoring. On the other hand, one also wishes to allocate as many worker nodes as possible to maximize the computation rate of the sensed data. It is in the context of this tradeoff that this work is presented. By utilizing the basic physical layer principles of wireless communication systems, we formulate and analyze the tradeoff between the coverage and computation performance of spatial networks. We also present an algorithm to find the optimal tradeoff and demonstrate its performance through numerical simulations.

关键词： Spatial coverage distributed edge computing

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A Comprehensive Study on Blockchain: Transforming the World

A Comprehensive Study on Blockchain: Transforming the World

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Innovation in Technology (INOCON), ieee international conference for

作者： Sujata Negi Thakur Sudhanshu Maurya Bhupesh Rawat Department of Computer Science & Engineering Graphic Era Hill University Haldwani Campus Nainital India School of Computing Graphic Era Hill University Bhimtal Campus Nainital India

We are going towards digitization, and while discussing it, “money” is the most common word that comes to everyone’s mind. We have “Bitcoins” to support this. The Blockchain, a shared ledger system, allows for the trading of Bitcoin and other types of digital money. In essence, bitcoins are long sequences of code that have been transformed into currency. Digital money that is created and held electronically is called bitcoin. Bitcoin transfers employ a shared ledger system called a blockchain. It is also being used in a number of other fields, including the government, the healthcare industry, and e-voting systems. These days, people are incredibly concerned about transaction security. Due to its comprehensive security characteristics, blockchain networks are increasingly being used. Throughout the world, people are embracing the blockchain network since it has complete security features. In our work, we have also covered some of the unique features of blockchain besides security. Every invention, including blockchains, must overcome numerous difficulties, as we all very well know. Some of the obstacles that the adoption of blockchain technology faces have been briefly discussed. We have covered the fundamentals of current blockchain technology, as well as its applications, features, and difficulties.

关键词： Technological innovation distributed ledger Government Bitcoin Medical services Regulation Blockchains

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Development of IoT Edge Hub for Wireless sensor Networks based on Docker Container 4

Development of IoT Edge Hub for Wireless Sensor Networks bas...

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4th ieee international conference on Smart Internet of Things, SmartIoT 2020

作者： Tansangworn, Natapon National Electronics and Computer Technology Center Center for Cyber-Physical Systems Bangkok Thailand

ISBN: (纸本)9781728165141

Wireless sensor network (WSN) is spatially distributed sensor for monitoring and recording the physical conditions of the environment. The organization of distributed sensor is essential for industrial, building, and agriculture. However, Creating systems for separately placed sensor nodes which gather and share data are complicated. Here we show the develop of IoT edge hub based on docker containers for Wireless sensor networks. The Edge hub is a lightweight system for real-Time monitoring which is consist of broker, storage, rule engine and visualization. The Internet of things (IoT) and wireless sensor network Internet of things (IoT) and wireless sensor network are combined in an edge hub for data transmission in global and local area network. Furthermore, the edge hub using docker containers and deployed using Docker Swarm-based orchestration. we have implemented an edge hub prototype based on docker container. Our discuss the prototype implementation of edge hub for efficient environmental management in the building from environment data. © 2020 ieee.

关键词： Internet of things

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Review of Several Address Assignment Mechanisms for distributed Smart Meter Deployment in Smart Grid 6th

Review of Several Address Assignment Mechanisms for Distribu...

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6th international conference on Advanced Intelligent systems and Informatics, AISI 2020

作者： Sung, Tien-Wen Hu, Xiaohui Ou, Haiyan College of Information Science and Engineering Fujian University of Technology Fuzhou China

ISBN: (纸本)9783030586683

Deploying wireless objects or devices is a fundamental basis for many network-based applications. The objects could be smart meters in a smart gird, sensors or actuators in a WSN, or IoT things. After the physical deployment of those devices, a network address allocation becomes another essential procedure to enable network communications among the devices for device controls or message delivery purposes. This paper gives a review on several notable address assignment mechanisms by describing the key technique of each of these proposed approaches. The advantages as well as weaknesses are also introduced and a brief comparison is also given in this paper. The review provides a valuable reference in making further improvement of distributed address allocations and a meaningful reference for the relevant applications in the topics of smart grid, sensor networks, and Internet of things. © 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Smart meters

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sensor based Smart Plant Monitoring using IOT and Deep Learning: A Systematic Approach

Sensor based Smart Plant Monitoring using IOT and Deep Learn...

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ieee international conference on computing, Communication and Security (ICCCS)

作者： Sukhdeep Kaur Kapil Joshi Mudduluru Charan Teja Ajay Singh Amen A. Khabeer Sunil Shukla Department of CSE Uttaranchal Institute of Technology Uttaranchal University Dehradun India Department of Information Science and Engineering Ramaiah Institute of Technology Bangalore India School of Applied and life Sciences Uttaranchal University Dehradun India Biomedical Engineering University of Technology Iraq University of Engineering and Technology Roorkee India

As we can see, only a select few gadgets, such as PCs and smartphones, are internet-connected in the modern world and since governments across the world instituted lockdowns to stop the spread of COVID-19, interest in home gardening has exploded. Internet of Things (IoT) and the internet have completely taken over today's world. All humans utilize the internet to fulfill basic needs. The network of actual items is known as the Internet of Things (IOT). Simply put, it refers to the process of keeping an eye on a physical machine or object. It can also refer to the interconnection of physical objects that have been implanted with electronics, sensors, software, and network connectivity. The foundation of our nation is agriculture. The main issue in agriculture is water scarcity. The water resource is not used in an effective manner, so the water is wasted. To overcome this problem, we proposed plant monitoring approach.

关键词： Systematics Agriculture Software sensor systems Internet of Things Security Water resources

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PerDL: 1st international Workshop on Deep Learning in Pervasive computing 2021 - Welcome and Committees

PerDL: 1st International Workshop on Deep Learning in Pervas...

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ieee Annual conference on Pervasive computing and Communications Workshops (PerCom)

The ieee PerDL workshop aims to address all relevant technologies, researches and discoveries in the field of distributed and pervasive Deep Learning (DL) techniques. The usage of deep learning techniques is becoming more and more widespread and needs to be properly incorporated into pervasive and distributed computing and communication architectures, in order to foster a fully connected environment of intelligent systems. The great development of Internet of Things devices and applications is fostering more and more pervasive communication paradigms, but smart devices and gateways need further capabilities to become fully connected intelligent things. What is still lacking is an in-depth study of the modalities and technologies to properly integrate all deep learning aspects and algorithms in all possible distributed and pervasive systems, making them actual intelligent distributed systems. The main aim is to support fast and on-the-field DL-based computations that may foster novel and fast services in the near future contexts, such as smart cities, smart agriculture, smart health, smart distance education, smart automotive, industry 4.0, and many more. On the other hand, DL could help in finding out better distributed and parallel configurations to increase the performance of pervasive computing itself. The objective of the PerDL workshop is to encourage the integration between the distributed and pervasive computing community and the deep artificial neural network community. This with the aim to foster the development of more and more widespread deep learning techniques in all computing and communication systems, as well as to increase pervasive computing performance by means of deep learning strategies.

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Conservative Quantization of Fast Covariance Intersection

Conservative Quantization of Fast Covariance Intersection

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ieee international conference on Multisensor Fusion and Integration for Intelligent systems (MFI)

作者： Funk, Christopher Noack, Benjamin Hanebeck, Uwe D. Karlsruhe Inst Technol Kit Inst Anthropomat & Robot Intelligent Sensor Actuator Syst Lab ISAS Karlsruhe Germany

ISBN: (纸本)9781728164229

sensor data fusion in wireless sensor networks poses challenges with respect to both theory and implementation. Unknown cross-correlations between estimates distributed across the network need to be addressed carefully as neglecting them leads to overconfident fusion results. In addition, limited processing power and energy supply of the sensor nodes prohibit the use of complex algorithms and high-bandwidth communication. In this work, fast covariance intersection using both quantized estimates and quantized covariance matrices is considered. The proposed method is computationally efficient and significantly reduces the bandwidth required for data transmission while retaining unbiasedness and conservativeness of fast covariance intersection. The performance of the proposed method is evaluated with respect to that of fast covariance intersection, which proves its effectiveness even in the case of substantial data reduction.

关键词： Covariance matrix

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A Fire Detection System Using Multi-sensor Networks Based on Fuzzy Logic in Indoor Scenarios 8

A Fire Detection System Using Multi-Sensor Networks Based on...

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8th international conference on Information and Communication Technology, ICoICT 2020

作者： Rachman, Fathur Zaini Hendrantoro, Gamantyo Wirawan Institut Teknologi Sepuluh Nopember Department of Electrical Engineering Surabaya Indonesia State Polytechnic of Balikpapan Balikpapan Indonesia

ISBN: (纸本)9781728161426

This paper presents the development of a fire detection system using a wireless multi-sensor network based on fuzzy logic rules. Until recently, the fire detection systems have been limited in the coverage area and installation of the device, so that the sensitivity of the sensor becomes limited indoor. This research proposes the use of multi-sensor system to detect indoor phenomena. The Fuzzy logic method is used to process data on multiple sensors and the cluster head (CH). The result of multi-sensor data processing is the condition level on the end device (ED). The test results show that the data processing using fuzzy logic for the measurements from distributed sensors reduces the data storage and computing complexity at the fusion center (FC). Fire detection application (FDA) displays the status condition (SC), where data sources from multi-sensor nodes are displayed as room conditions. © 2020 ieee.

关键词： Fuzzy logic

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Edge Intelligence in Mobile Nodes: Opportunistic Pipeline via 5G D2D for On-site Sensing

Edge Intelligence in Mobile Nodes: Opportunistic Pipeline vi...

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ieee conference on Vehicular Technology (VTC)

作者： Terry N. Guo Hawzhin Mohammed Syed R. Hasan Center for Manufacturing Research Tennessee Tech University Cookeville TN USA Information Science and Technology Penn State University Altoona PA USA Department of ECE Tennessee Tech University Cookeville TN USA

ISBN: (纸本)9781665454698

Foreseeing several potential use cases, this paper proposes a node-level edge intelligence (EI) based mobile pipeline computing concept in a Device-to-Device (D2D) communication setup and studies the related issues, where D2D is likely based on millimeter-wave (mmWave) in the 5G mobile communication. Different from traditional distributed computing systems, the proposed opportunistic system employs a chain of wirelessly pipelined resource-limited node-level edge devices (NEDs) on the move to handle real-time computation-intensive multi-stage processing for which current cloud computing technology may not be suitable. The feasibility of such a mobile pipeline can be anticipated as high-speed and low-latency wireless technologies get mature. We present a system model by defining the architecture and basic functions and introducing a possible optimal pipeline finding procedure. As part of the feasibility assessment, the impact of mmWave blockage on the pipeline stability is analyzed and examined for both single-pipeline and concurrent-multiple-pipeline scenarios. Our design and analysis results provide specific insight to guide system design and lay a foundation for further work along this line.

关键词： Wireless communication Wireless sensor networks Pipelines Real-time systems Device-to-device communication sensors Millimeter wave communication

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