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18th international Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA)

作者： Sun, Wen Sun, QiBo Beijing Univ Posts & Telecommun State Key Lab Networking & Switching Technol Beijing 100876 Peoples R China

ISBN: (纸本)9789819722747;9789819722754

To achieve automation and intelligence in 5G networks, the 3rd Generation Partnership Project (3GPP) introduced the Network Data Analysis Function (NWDAF) as a novel network function. However, in the traditional 5G core network architecture, NWDAF relies on fixed configurations for data collection, lacking support for user customization and flexibility. Additionally, the current deployment of NWDAF is predominantly centralized, failing to provide real-time and reliable analysis services for the massive data in future 6G systems. Moreover, it is incapable of ensuring user privacy, making it incompatible with emerging scenarios like federated learning in 6G. Therefore, this paper proposes a user-customizable data collection approach and introduces a distributed NWDAF deployment based on the Raft algorithm, where the master node assigns data collection, analysis, and inference tasks to multiple worker NWDAFs. Our work and experimental results demonstrate that the proposed architecture effectively addresses these challenges and further achieves closed-loop network automation in 6G systems.

关键词： Core network Network data analysis Raft algorithm

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Dynamic Incentive Mechanism Design for distributed Learning in 5G Private networks: A Generalized Benders Decomposition Approach 4

Dynamic Incentive Mechanism Design for Distributed Learning ...

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4th international Conference on Electronic Information Engineering and computer Communication, EIECC 2024

作者： Zu, Xuefeng Hu, Fangzhou Liang, Duandan Liu, Yanfei Unit 31401 of the People's Liberation Army Changchun China

ISBN: (纸本)9798331534622

In the 5G private network environment, to incentivize data providers to contribute data and computational resources for enhancing the generalization capability and model accuracy of distributed learning systems, this paper proposes a dynamic incentive mechanism based on Generalized Benders Decomposition (GBD). We model the interaction between the system administrator and data providers as a Stackelberg game, where the incentive strategy of the system administrator is optimized to achieve maximum system revenue while meeting the generalization requirements. To address the coupling in the leader-follower problem, we design an algorithm based on GBD, enabling the system administrator to dynamically guide the resource contributions of data providers through iterative incentive adjustments. Experimental results demonstrate that the proposed dynamic incentive mechanism outperforms baseline schemes in terms of generalization capability, system revenue, resource contribution level, and model training accuracy. © 2024 IEEE.

关键词： 5G mobile communication systems

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Opposition Strategy with Harris Hawk Algorithm for Task Scheduling in Edge Computing

Opposition Strategy with Harris Hawk Algorithm for Task Sche...

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2024 international Conference on distributed systems, computer networks and Cybersecurity, ICDSCNC 2024

作者： Padmakala, S. Khond, Smita Al-Farouni, Mohammed Punitha, S. Kaliappan, S. Saveetha University Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Department of Computer Science and Engineering Chennai India Malla Reddy Engineering College for Women Department of Cse Hyderabad India The Islamic University College of Technical Engineering Department of Computers Techniques Engineering Najaf Iraq Deemed to Be University Vinayaka Mission's Kirupananda Variyar Engineering College Vinayaka Mission's Research Foundation Department of Mathematics Salem India Lovely Professional University Department of Research and Development Phagwara India

ISBN: (纸本)9798350375442

Edge computing (EC) nodes undertake an increasing number of tasks with rise of business density. However, unreasonable edge computing resource allocation suffers from high energy consumption and resource waste. This paper, Opposition-Based Learning with Harris Hawk Algorithm (OHHO) using task scheduling in EC, distributed involves complex and dynamic environment with changing tasks and resources availability. The HHO has mechanisms to maintain exploration and exploitation, reduce high dimensionality in search space where algorithm avoids to fall in local optima. OBL helps in this dynamic context by ensuring suboptimal solutions are quickly discarded and replaced with their opposites, which allows algorithm to adapt better to recent situation. This is adaptability is crucial in edge computing, where tasks and resources are constantly fluctuating. The resource allocation involved Dynamic Priority Task Scheduling Algorithm (DPTSA) helps in balancing system load by distributing tasks based on their priority and availability of resources. The proposed OHHO algorithm achieves high performance such energy 0.1mJ, Makespan of 1s and Delay of 45ms respectively when compared to existing techniques Deep Q Network (DQN) and Particle Swarm Optimization (PSO) - Grey Wolf Optimizer (GWO) approach. © 2024 IEEE.

关键词： Scheduling algorithms

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Optimizing Energy Efficiency in distributed Web systems 7

Optimizing Energy Efficiency in Distributed Web Systems

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7th international symposium on Innovative Approaches in Smart Technologies, ISAS 2023

作者： Ileana, Marian Piteşti University Center Department of Mathematics and Computer Science National University of Science and Technology Politehnica Bucharest Piteşti Romania

ISBN: (纸本)9798350383065

In the ever-evolving digital age, distributed web systems are an important part of the online infrastructure, delivering services and applications on a global scale. However, there are growing concerns about the exponential growth of energy consumption in such systems, which has a significant impact on operating costs and the environment. The article addresses key topics such as energy efficiency as well as optimization strategies, including source code optimization, the use of energy-saving technologies, and intelligent resource management. The paper provides a thorough analysis of the principals of energy efficiency in distributed web systems and serves as a basis for further research and the creation of practical solutions for a more energy-efficient online world. The purpose of this paper is to study strategies and methods for optimizing energy efficiency, with an emphasis on reducing energy consumption without compromising performance or availability. © 2023 IEEE.

关键词： Energy efficiency

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A Current-Mode Discrete-Time Analog computer for Solving Maxwell's Equations in 2D 56

A Current-Mode Discrete-Time Analog Computer for Solving Max...

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56th IEEE international symposium on Circuits and systems (ISCAS)

作者： Liang, Jifu Tang, Xinyao Hariharan, S. I. Madanayake, Arjuna Mandal, Soumyajit Case Western Reserve Univ Dept Elect Comp & Syst Engn Cleveland OH 44106 USA Florida Int Univ Dept Elect & Comp Engn Miami FL 33174 USA Brookhaven Natl Lab Instrumentat Div Upton NY 11973 USA

ISBN: (纸本)9781665451093

This paper describes an analog CMOS IC for fast and fully-parallel finite-difference time-domain (FDTD) simulations of 2D electromagnetic (EM) problems. The chip uses discrete-time switched-current (SI) networks to model Maxwell's equations in 2D while minimizing the effects of device mismatch on solver accuracy. A prototype design in 180 nm technology implements a 16x16 solver grid within an active area of 44.5 mm(2) while consuming 345 mW at a clock frequency of 20 MHz.

关键词： Maxwell's equations analog computing FDTD

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A comprehensive survey on 6G-security: physical connection and service layers

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Discover Internet of Things 2025年第1期5卷 1-30页

作者： Saeed, Mamoon M. Saeed, Rashid A. Hasan, Mohammad Kamrul Ali, Elmustafa Sayed Mazha, Tehseen Shahzad, Tariq Khan, Sunawar Hamam, Habib Sana00967 Yemen Department of Computer Engineering College of Computers and Information Technology Taif University P.O. Box 11099 Taif21944 Saudi Arabia Department of Electronics Engineering College of Electronics Engineering Sudan University of Science and Technology Omdurman Sudan Bangi43600 Malaysia Department of Electrical and Electronic Engineering Faculty of Engineering Red Sea University Port Sudan33312 Sudan School of Computer Science National College of Business Administration and Economics Lahore54000 Pakistan Faculty of Engineering Uni de Moncton MonctonNBE1A3E9 Canada Department of Computer Engineering COMSATS University Islamabad Sahiwal Campus Sahiwal57000 Pakistan Department of Computer Science and Software Engineering International Islamic University Islamabad44000 Pakistan School of Electrical Engineering University of Johannesburg Johannesburg2006 South Africa BP 1989 Av. Grandes Ecoles Libreville Gabon Bridges for Academic Excellence-Spectrum Tunis Tunisia Department of Computer Science School Education Department Government of Punjab Layyah31200 Pakistan Chitkara University Institute of Engineering and Technology Chitkara University Punjab Rajpura140401 India

After adopting 5G technology, businesses and academia have started working on sixth-generation wireless networking (6G) technologies. Mobile communications options are expected to expand in areas where previous generations could not do so. 6G networks are anticipated to be constructed using various diverse technologies. These encompass diverse cutting-edge advancements, such as distributed ledger systems like blockchain, visible light communications (VLC), post-quantum cryptography, edge computing, molecular communication, THz, and other advances. These advances necessitate a reassessment of previous security strategies from a security perspective. In the future, networks must adhere to stricter criteria for authentication, encryption, access control, connectivity, and detection of harmful activities. Ensuring privacy and dependability necessitates the implementation of supplementary security protocols. The essay explores the primary concerns and challenges related to the security of the 6G network. This paper describes the improvements in security in communications from 1G through 6G. This paper divides security in the sixth generation into three layers: physical, connection, and service. Each layer-by-layer discusses the standard technologies and security issues for each technology proposed in each sixth-generation security layer. All proposed solutions for each of the three layers are discussed in Sixth Generation Security. It also reviews all proposed solutions for each layer, indicating the proposed solution and its limitations. © The Author(s) 2025.

关键词： 5G mobile communication systems

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Diverse Localization Techniques in Wireless Sensor networks: A Review 23rd

Diverse Localization Techniques in Wireless Sensor Networks:...

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23rd international Conference on Next Generation Wired/Wireless networks and systems (NEW2AN) / 16th Conference on Internet of Things and Smart Spaces (RuSMART)

作者： Khedr, Ahmed M. Aziz, Ahmed Osamy, Walid Sharjah Univ Dept Comp Sci Sharjah 27272 U Arab Emirates Benha Univ Fac Comp & AI Dept Comp Sci Banha Egypt Tashkent State Univ Econ Tashkent Uzbekistan

ISBN: (纸本)9783031609961;9783031609978

A wireless sensor network (WSN) is a network comprised of a collection of small, specialized sensors with limited memory, processing capacities, and energy resources. These sensors are employed to monitor and record various physical characteristics of the surrounding environment, such as temperature, sound, light, pressure, pollution, among others. Localization has emerged as a prominent research area in the realm of wireless sensor networks, garnering significant interest from academia and researchers alike. This work aims to present a comprehensive survey of diverse techniques and strategies employed to determine the precise location of nodes within the network. Initially, we discuss the available classifications for localization algorithms in wireless sensor networks. Subsequently, we elucidate the techniques and algorithms utilized within each classification. Lastly, we delve into a detailed examination of the existing challenges and issues encountered in the field of wireless sensor network localization.

关键词： Localization wireless sensor network Centralized and distributed Algorithms Anchor free and Anchor based Algorithms Range free and Range based Algorithms

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Moving small files in a networked environment

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FUTURE GENERATION computer systems-THE international JOURNAL OF ESCIENCE 2023年 139卷 167-180页

作者： Jin, Chao Abramson, David Carroll, Jake Liu, Zhengchun Kettimuthu, Rajkumar Univ Queensland St Lucia Qld 4072 Australia Argonne Natl Lab Data Sci & Learning Div Argonne IL 60439 USA

Globally distributed computing infrastructures, such as clouds and supercomputers, are currently used to manage data that is generated with an unprecedented speed from a variety of resources. Coping with this trend, the volume of data exchanged across distant sites increases substantially. To accelerate data transfer, high-speed networks are provided to connect remote sites. Most existing data movement solutions are optimized for moving large files. However, it is still challenging to transfer a large number of small files across networks. This disadvantage not only lowers data transfer performance, but also decreases overall system utilization. We identify that moving small files is mainly constrained by degraded file system throughput, not just network performance as might be suspected. We have built a data transfer pipeline model to analyze the impact of small network I/O and storage I/O on data movement. Extending one of the widely used open source data movement solutions, GridFTP, we demonstrate several appropriate engineering approaches that mitigate the bottleneck and increase data transfer efficiency. We show optimizations that improve data transfer performance more than 5 times. In comparison to existing solutions, our approaches can save a significant amount of system resources for moving lots of small *** Copyright (c) 2022 Published by Elsevier B.V. All rights reserved.

关键词： Data movement File transfer Small files High-speed networking distributed computing Data transfer pipeline GridFTP

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Validation of ESDS Using Epidemic-Based Data Dissemination Algorithms 19

Validation of ESDS Using Epidemic-Based Data Dissemination A...

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19th Annual international Conference on distributed Computing in Smart systems and the Internet of Things, DCOSS-IoT 2023

作者： Guegan, Loic Rais, Issam Anshus, Otto UiT the Arctic University of Norway Department of Computer Science Tromso Norway

ISBN: (纸本)9798350346497

The study of distributed systems (DS) is important as novel solutions in this area impact many sub-fields of computer Science. Although, studying DS is not an easy task. A common approach is to deploy a test-bed to perform a precise evaluation of the system. This can be costly and time consuming for large scale platforms. Another solution is to perform network simulations, allowing for more flexibility and simplicity. Simulators implement various models such as wired/wireless network models and power consumption models. Extensible Simulator for distributed systems (ESDS) is a simulator designed for simulation of systems that include edge platforms, namely Internet of Things (IoT), Wireless Sensor networks (WSN) and Cyber-Physical systems (CPS). ESDS uses coarse-grained (flow-level) models for wired and wireless networks, and provides nodes power consumption models. However, to ensure accurate predictions, these models must be validated. In this paper, we propose to validate the flow-level wire-less model and the power consumption model of ESDS using epidemic-based data dissemination simulations. We show that ESDS has similar predictions than another validated flow-level network simulator, in terms of network performance and energy consumption. © 2023 IEEE.

关键词： Internet of things

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Electricity theft detection using neural networks and Particle Swarm Optimization optimization 9

Electricity theft detection using neural networks and Partic...

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9th international symposium on computer and Information Processing Technology, ISCIPT 2024

作者： Jia, Shangru Shanxi Agricultural University 030801 China

ISBN: (纸本)9798350388404

Electricity theft poses significant challenges to the integrity and sustainability of power systems. In this study, we address this issue by combining neural networks with Particle Swarm Optimization (PSO) algorithm for effective detection of electricity theft across different risk levels. Using three datasets representing high, medium, and low-risk theft users, we trained and optimized a neural network to achieve rapid convergence and excellent predictive accuracy, as demonstrated by iterative and accuracy curves. Our results showcase the robustness of the PSO-optimized neural network in accurately detecting theft phenomena regardless of user density, highlighting its applicability in diverse scenarios. The study's findings not only validate the effectiveness of our approach but also pave the way for future enhancements in electricity theft detection, such as optimizing parameters and incorporating deep learning techniques. Overall, this research contributes to advancing the field of electricity theft detection, ensuring the safety and reliability of power grids. © 2024 IEEE.

关键词： Particle swarm optimization (PSO)

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