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Optimized Clustering and Routing with Sink Mobility for Enhanced Lifetime in IoT-based Wireless sensor Networks for Smart Farming 3

Optimized Clustering and Routing with Sink Mobility for Enha...

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3rd international conference on Artificial Intelligence For Internet of Things, AIIoT 2024

作者： Biyani, Raghav Toshniwal, Radhika Karthikeyan, A. Srividhya, V. School of Electronics Engineering Vellore Institute of Technology Vellore India Annai Mira College of Engineering and Technology Department of ECE Vellore India

ISBN: (纸本)9798350372120

The rise of the Internet of Things (IoT) is due to the wide usage of mobile devices, cloud computing, data analytics, and other technological advancements. This has led to the integration of sensors, microcontrollers, and transceivers into everyday objects, particularly in IoT-enabled smart farming. Wireless sensor Network (WSN) nodes are essential as it enables real-time data collection on parameters like temperature and soil moisture. This allows farmers to remotely monitor their fields and address issues such as damage caused by animals. However, the effectiveness of WSN can be hindered by factors like low bandwidth and sub-optimal energy optimization. To address these challenges, the proposed study introduces the Multi-Objective Comprehensive Learning Particle Swarm Optimization (MOCLPSO) clustering algorithm. The algorithm aims to optimize energy usage and enhance decision-making by evaluating solutions based on factors like Throughput, Number of Alive Nodes, Residual Energy, and Cluster count. The study also integrates Sink Mobility in MOCLPSO, enabling the central sink node to move towards remote sensor nodes, thereby improving communication efficiency and reducing energy consumption for data transmission. © 2024 ieee.

关键词： MATLAB

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An Adaptive Load Balancing Strategy for distributed Machine Learning 3

An Adaptive Load Balancing Strategy for Distributed Machine ...

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3rd international conference on Frontiers of Electronics, Information and Computation Technologies, ICFEICT 2023

作者： Min, Haozhe Xue, Meiting Zhu, Weibo Zeng, Yan Zhao, Nailiang Zhang, Jilin Hangzhou Dianzi University College of Cyberspace HangZhou China Hangzhou Dianzi University School of Computer Seience and Techrology HangZhou China

ISBN: (纸本)9798350302356

Within a distributed deep learning training system, variances in performance among computing nodes, as well as the influence of external environmental factors, can result in training interruptions or reduced convergence speed. As such, this paper presents an approach to address this issue by proposing a dynamic task allocation strategy among nodes, aimed at mitigating the impact of performance discrepancies on the training efficiency of distributed deep learning systems. This proposed approach is referred to as the 'Auto weight-based load balancing strategy' (Auto-WLBS) and involves dynamically adjusting the task allocation among computing nodes based on their performance characteristics. In order to maximize computing power while minimizing the lag effect on the training of the entire system, Auto-WLBS partitions and alters the errands by introductory division and halfway alteration. Combined with LSP model, AW-LSP model is proposed. Finally, a comparative experiment was conducted on the cifar10 and cifar100 datasets, and Auto-WLBS was experimentally verified from the perspective of model training loss function changes, model accuracy, and training time. The experimental findings demonstrate that compared to the BSP model, SSP model, and LSP model, the AW-LSP model has a smaller communication overhead, and the communication overhead can be reduced by up to 23.70%. Compared with the SSP model and the LSP model, the model accuracy can be improved by up to 14.5% and 8.6%, respectively. © 2023 ieee.

关键词： computing power

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Design and Simulation Analysis of Different Diaphragm Shapes for Piezoresistive Pressure sensor 3

Design and Simulation Analysis of Different Diaphragm Shapes...

引用

3rd ieee international conference on computing, Communication, and Intelligent systems, ICCCIS 2022

作者： Jayaram, U. Swapna, P. Andhra University College of Engg Department of Instrument Technology Visakhapatnam India

ISBN: (纸本)9781665462006

Pressure sensors are widely employed in a variety of industries, including the automotive, medical, pneumatic, and military professions. The piezoresistive type of pressure sensor is the most used transduction mechanism since it has simple readout circuitry and is inexpensive to manufacture. A piezoresistive pressure sensor is made up of a sensing device, which is a diaphragm, and appropriate circuitry to translate the diaphragm's deflection into an electrical signal. The design of the diaphragm has a considerable impact on the sensitivity of a sensor. This study undertakes a theoretical analysis of a piezoresistive pressure sensor design with different diaphragm designs as a consequence. A square diaphragm has been shown to be ideal for the creation of very sensitive pressure sensors. © 2022 ieee.

关键词： Pressure sensors

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Droop-Control-Aided State Estimation in Active Distribution systems 3

Droop-Control-Aided State Estimation in Active Distribution ...

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3rd international conference on Energy Transition in the Mediterranean Area, SyNERGY MED 2024

作者： Dimoulias, Stelios C. Kryonidis, Georgios C. Malamaki, Kyriaki-Nefeli D. Kontis, Eleftherios O. Fotellis, Fotios P. Milioudis, Apostolos N. Romero-Ramos, Esther Aristotle University of Thessaloniki School of Electr. & Comput. Eng. Thessaloniki Greece University of Thessaly School of Electr. & Comput. Eng. Volos Greece Hellenic Distrib. Netw. Oper. Grid Oper. & Develop. Thessaloniki Greece Universidad de Sevilla Dept. of Electr. Eng. Seville Spain

ISBN: (纸本)9798350375923

In this paper, an enhanced state estimation algorithm for active distribution systems (DSs) is presented. Its distinct characteristic is the integration of the local control logic of the distributed renewable energy sources, i.e., the droop control, into the mathematical formulation of the state estimation problem. Numerical results on a real medium-voltage DS are presented to highlight the superior performance of the proposed method against the conventional weighted least squares estimation algorithm in terms of increased accuracy and observability. © 2024 ieee.

关键词： distributed energy

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Optimal sensor Placement and Battery Pack Configuration in Electrochemical Energy Storage systems: A Mixed-integer Non-linear Programming Approach 3

Optimal Sensor Placement and Battery Pack Configuration in E...

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3rd international conference on computing, Communication, Perception and Quantum Technology, CCPQT 2024

作者： Wei, Shibo Jiang, Liping Zhang, Xiaojun Zhang, Jingwen Tian Di Technology Co. Ltd. CCTEG Beijing Technology Research Branch Beijing100013 China Xiaoshan District Fire Rescue Brigade Hangzhou311201 China West Lake Scenic Area Fire Rescue Brigade Hangzhou311607 China Chinese Institute of Coal Science CCTEG Beijing100013 China

ISBN: (纸本)9798331528386

The integration of electrochemical energy storage (EES) systems in diverse applications from portable devices to grid storage is crucial for the transition to sustainable energy sources. Efficient battery management is vital for optimizing performance and ensuring safety, with a focus on the strategic placement of sensors and battery pack configuration. This paper introduces a mixed-integer nonlinear programming (MINLP) model that optimizes these aspects by considering three-dimensional spatial configurations and diverse battery types. The model aims to minimize costs while ensuring comprehensive coverage and stringent safety standards. It extends beyond traditional methods by incorporating adaptive strategies that enhance predictive capabilities and operational efficiency. By applying this model in detailed case studies, the paper demonstrates significant improvements in cost efficiency and system reliability, offering a robust framework for enhancing battery management systems in various technological and operational settings. This approach not only addresses current challenges but also adapts to dynamic conditions, highlighting its potential to significantly impact the future of energy storage solutions. © 2024 ieee.

关键词： Mixed-integer linear programming

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Efficient Signal Processing: Harnessing distributed Arithmetic for High-Speed FFT Operations 3

Efficient Signal Processing: Harnessing Distributed Arithmet...

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3rd international conference on Intelligent and Innovative Technologies in computing, Electrical and Electronics, IITCEE 2025

作者： Bharathi, M. Mohanarangam, Krithikaa Shirur, Yasha Jyothi M. Andhra Pradesh Tirupati India Symbiosis Institute of Technology Pune India Bnm Institute of Technology Electronics and Communication Engineering Bangalore India

ISBN: (纸本)9798331515911

The present article introduces a novel approach to significantly enhance the computational efficiency of modern Digital Signal Processing (DSP) processors. The algorithm enhances the efficiency of Sum of Products (SOP) operations, which are essential for real-time signal processing applications, by utilizing distributed Arithmetic (DA) techniques for the Fast Fourier Transform (FFT) and its inverse (Inverse FFT) (IDFT) computations. The present study undertakes an exhaustive quantitative analysis to assess the computational delays of the proposed 2, 4, and 8-point Fast Fourier Transform (FFT) and Inverse Discrete Fourier Transform (IDFT) across various bit representations (4, 8, and 16-bit). For example, when using 4-bit representations, the computational delays for a 2-point Fast Fourier Transform (FFT) are measured to be 13.318ns, 30.629ns for a 4-point FFT, and 27.779ns for an 8-point FFT. Similarly, the delays for the 2-point Fast Fourier Transform (FFT) in an 8-bit representation are 13.727ns, the 4-point FFT in 22.276ns, and the 8-point FFT in 30.592ns. The study further includes the addition of appropriate delays for IDFT operations, which enhances the understanding of the effectiveness of the approach suggested in various scenarios. Furthermore, the research presents and evaluates three distinct categories of transforms, namely 2-point, 4-point, and 8-point FFT and IDFT structures. These structures utilize different quantities of Look-Up Tables (LUTs) for computational purposes. The research showcases the exceptional computing efficiency of the suggested design through detailed quantitative analysis, emphasizing its potential advantages in improving DSP implementations in practical situations. © 2025 ieee.

关键词： Inverse problems

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Adaptive Grasshopper Optimization Algorithm based Dynamic Cluster Head Selection and Energy Efficient Routing for Wireless sensor Network (WSN) 3

Adaptive Grasshopper Optimization Algorithm based Dynamic Cl...

引用

3rd international conference on Applied Artificial Intelligence and computing, ICAAIC 2024

作者： Kanimozhi, T. Belina, S. Sara, V.J. Srm Institute of Science and Technology Faculty of Science and Humanities Department of Computer Science Tamil Nadu Chennai India Srm Institute of Science and Technology Faculty of Science and Humanities Department of Computer Applications Tamil Nadu Chennai India

ISBN: (纸本)9798350375190

Wireless sensor Network (WSN) clustering is useful for developing routing algorithms that improves the scalability and longevity of the network. Cluster Head (CH) is essential for data transmission in the clustered WSN paradigm. Thus several cluster-based routing protocols have been introduced recently. As such, energy constraints affect both the duration of the network and energy-efficient routing. In this paper, Adaptive Grasshopper Optimization Algorithm (AGOA) is introduced for cluster-based routing and CH selection which increases routing efficiency, and maximizes network lifetime. Furthermore, high convergence rate and lower parameter complexity as compared to other optimization techniques. Here, Residual Energy (RE), distance to the Base Station (BS), distance to neighbors, node degree, and node centrality has been used for choosing the best CH. Additionally, the path between the BS and CH can be determined using AGOA. Lastly, the results routing protocols are evaluated using metrics including Packet Delivery Ratio (PDR), Packet Loss Ratio (PLR), Average energy consumption, and Network Lifetime. © 2024 ieee.

关键词： Energy utilization

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Multi-Terminal Collaborative distributed Garden Planning System Integrating CG Technology 3

Multi-Terminal Collaborative Distributed Garden Planning Sys...

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3rd international conference on Pervasive computing and Social Networking, ICPCSN 2023

作者： Wang, Ye Liu, Qi School of Art Design and Media Sanda University Shanghai201209 China

ISBN: (纸本)9798350322842

The fast distributed garden planning system in colleges and universities is one of the mainstream applications of contemporary computers. The latest traditional methods usually use the GPU full virtualization technology as an entry point to improve the problem of a single user and a single computer, so that a physical computer can shared by multiple users without interfering with each other. With this basis, this research study designs the novel multi-terminal collaborative distributed garden planning system integrating CG technology. Key innovations are: (1) The parallel SSOR-AI preconditioning combined with the CG algorithm is proposed to improve the traditional CG model. (2) The designed multi-terminal collaboration model considers the heterogeneous structure that will be more robust for the complex data. (3) The virtual image model is designed to finish the whole work flow. In the experiment part, the data is collected from Baidu search engine with the size of more than 1000000, the various tests are conducted to validate the performance. © 2023 ieee.

关键词： Search engines

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Research and Development of Grid Infrastructure Intelligent Monitoring Platform Based on distributed Real-time sensor Network 3

Research and Development of Grid Infrastructure Intelligent ...

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3rd ieee international conference on Power, Electronics and Computer Applications, ICPECA 2023

作者： Yan, Yan Wang, Chunli Zhang, Na Chen, Bingqian Chen, Xilong Chen, Xiaomin State Grid Fujian Economic Research Institute Fujian Fuzhou350012 China

ISBN: (纸本)9781665472784

The construction of the power grid is a huge project involving various aspects such as electricity, communication and transportation. distributed systems have the characteristics of convenient and flexible nonlinear data collection, so higher requirements are put forward for distributed equipment monitoring. At present, domestic research on intelligent network technology is still in its infancy. However, with the rapid development of social and economic levels, more and more demands for power supply security and reliability have also increased. At the same time, the traditional power grid has serious network failure problems in the construction process, it cannot adapt to the modern communication system of modern cities, which has caused a huge impact on the power grid construction. The distributed real-time monitoring platform can timely detect the problems in the urban power system for the power supply department, and provide reliable, accurate, stable and safe services. This paper first analyzes the distributed optical fiber sensing technology, which uses the unique characteristics of optical fibers to connect the distributed optical fiber sensor array to the power grid monitoring network, and then uses the traditional power transmission method to monitor the urban distribution network in real time, determines grid operating status through data analysis and simulation measurements. Secondly, this paper analyzes the software scheme and implementation of remote real-time monitoring system, which provides technical support for the construction of distributed real-time monitoring system. Finally, this paper proposes the data transmission based on distributed gateway and monitoring network communication, and uses network routing protocol to monitor and protect parameters such as grid voltage, current and signal in real time, so as to realize the real-time monitoring of grid voltage. © 2023 ieee.

关键词： Electric power distribution

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Design of Digital Technology Product Management System Based on distributed Architecture 3

Design of Digital Technology Product Management System Based...

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3rd international conference on Artificial Intelligence and Autonomous Robot systems, AIARS 2024

作者： Kun, Chen Jianning, Zheng Shicong, Li Xingjiang, Yu Gaojie, Wu Fujian Great Power Science and Technology Co. Ltd Fuzhou Fujian350000 China State Grid Information & Telecommunication Group Co. Ltd Changping Beijing102200 China

ISBN: (纸本)9798350376173

The design of digital technology product management system based on distributed architecture is the focus of this article. This article analyzes the importance and development trends of digital technology product life cycle management, and explores the advantages of distributed architecture in digital technology product management systems. On this basis, this article proposes a design scheme for a digital technology product management system based on microservice architecture, and introduces the system architecture and module design in detail. The system includes product reserve, research and development, production, sales, upgrades and elimination. It achieves high scalability, high availability and high concurrency of the system through distributed architecture, and has been tested and verified in a laboratory environment. Experimental results show that this system can effectively improve the efficiency and quality of digital technology product management. The main contribution of this article is to propose a design scheme for a digital technology product management system based on distributed architecture, which was tested and verified in a laboratory environment. This design solution has good scalability, high availability and high concurrency, and can meet the actual needs of digital technology product management. Future research can further explore issues such as system intelligence and data analysis to improve the efficiency and quality of digital technology product management. © 2024 ieee.

关键词： Research and development management

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