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An Optimal Algorithm for Resource Allocation in D2D Communication

computers, Materials & Continua 2023年第4期75卷 531-546页

作者： Shahad Alyousif Mohammed Dauwed Rafal Nader Mohammed Hasan Ali Mustafa Musa Jabar Ahmed Alkhayyat Research Centre University of MashreqBaghdadIraq College of Engineering Department of Electrical&Electronic EngineeringGulf UniversityAlmasnadKingdom of Bahrain Medical Instrumentation Techniques Engineering Dijlah University CollegeBaghdadIraq Department of Pharmacy Al-Mustaqbal University CollegeHilla51001Iraq Computer Techniques Engineering Department Faculty of Information TechnologyImam Ja’afar Al-Sadiq UniversityNajaf10023Iraq Department of Medical Instruments Engineering Techniques Al-Turath University CollegeBaghdad10021Iraq Department of Medical Instruments Engineering Techniques Al-Farahidi UniversityBaghdad10021Iraq College of Technical Engineering The Islamic UniversityNajafIraq

The number of mobile devices accessing wireless networks isskyrocketing due to the rapid advancement of sensors and wireless communicationtechnology. In the upcoming years, it is anticipated that mobile datatraffic would rise even more. The development of a new cellular networkparadigm is being driven by the Internet of Things, smart homes, and moresophisticated applications with greater data rates and latency *** are being used up quickly due to the steady growth of smartphonedevices andmultimedia apps. Computation offloading to either several distantclouds or close mobile devices has consistently improved the performance ofmobile devices. The computation latency can also be decreased by offloadingcomputing duties to edge servers with a specific level of computing ***-to-device (D2D) collaboration can assist in processing small-scaleactivities that are time-sensitive in order to further reduce task delays. The taskoffloading performance is drastically reduced due to the variation of differentperformance capabilities of edge nodes. Therefore, this paper addressed thisproblem and proposed a new method for D2D communication. In thismethod, the time delay is reduced by enabling the edge nodes to exchangedata samples. Simulation results show that the proposed algorithm has betterperformance than traditional algorithm.

关键词： D2D communication resource allocation latency optimization

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Power Allocation and Client Selection For Privacy-Preserving Federated Learning in IoMT

Power Allocation and Client Selection For Privacy-Preserving...

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2024 IEEE Global Communications Conference, GLOBECOM 2024

作者： Liu, Jingyuan Chang, Zheng Wang, Kai Min, Geyong University of Electronic Science and Technology of China School of Computer Science and Engineering Chengdu China University of Jyväskylä Faculty of Information Technology P.O. Box 35 JyväskyläFIN-40014 Finland Sichuan Provincial People's Hospital Department of Acute Care Surgery Chengdu China University of Exeter Department of Computer Science ExeterEX4 4QF United Kingdom

ISBN: (纸本)9798350351255

In recent years, the Internet of Medical Things (IoMT) has significantly boosted the healthcare industry. In the IoMT, federated learning (FL) can be applied, which can increase the utilization of patient data while protecting patient privacy. This work proposes a cutting-edge framework that combines differential privacy (DP) with FL and utilizes game theory to optimize power allocation and client selection in IoMT environments. Utilizing a Stackelberg game model, we orchestrate power allocation strategies among IoMT devices to enhance communication efficiency while meeting stringent privacy standards. We propose non-uniform and uniform pricing strategies based on the availability of network state information. Then, we derive the optimal interference price and power for the IoMT devices using nonlinear programming and convex optimization. In addition, our approach integrates DP to protect patients' data, carefully balancing between privacy and the accuracy of the learning model. The conducted simulations show that our proposed method is effective in terms of communication efficiency, privacy preservation and FL performance. © 2024 IEEE.

关键词： Federated learning

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Natural Language Processing: Bridging the Gap between Human Language and Machine Understanding 2

Natural Language Processing: Bridging the Gap between Human ...

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2nd IEEE International Conference on Trends in Quantum Computing and Emerging Business Technologies, TQCEBT 2024

作者： Kumar, Keerthipati Syed, Mohammad Haider Bhargava, Saumya Mohakud, Lalit Lalitav Serajuddin, Mohammad Lourens, Melanie S.V. College of Engineering Computer Science and Engineering Department Andhra Pradesh Tirupati India Saudi Electronic University Department of Computer Science Saudi Arabia Pgdm Indira School of Business Studies Pune India Jadavpur University Department of Education Kolkata700032 India King Saud University College of Dentistry Saudi Arabia Durban University of Technology South Africa Faculty of Management Sciences South Africa

ISBN: (纸本)9798350384277

NLP in relation to deep learning models is focused on the review of NLP evolution from the middle of the 1950s up to present days. Today, NLP remains the pillar on which rests our digital age, connecting speech nuances of a human language and the computational power of machines. It is tracked along with the historical evolution from rule based systems to the paradigm shift to the machine learning decade since the nineties and constellations of the NLP components. The methodology involves using a conventional linguistic model alongside ultra-modern machine learning models to overcome ambiguity as well as contexts associated with other languages. The technical specifics and continuity loops under the Human-in-the-loop (HITL) framework are discussed. For example, they look at words like "uncommon"words, which have cultural implications in showing how involved human speech is. For instance, the strength of NPL can be depicted by being used in diverse sectors like health and social media. Finally, this article illustrates an advanced time when smart NPL units give topnotch solutions proving that interconnection between linguistics, computing and artificial intelligence is ongoing. © 2024 IEEE.

关键词： Adversarial machine learning

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NFC Implementation Methods for ESP32 Based IoT Systems

NFC Implementation Methods for ESP32 Based IoT Systems

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International Conference on Telecommunications in Modern Satellite, Cable and Broadcasting Service (TELSIKS)

作者： Nikola Mitrović Antonio Pousibet-Garrido Sandra Veljković Isidoro Ruiz-Garcia Danijel Danković Alberto J. Palma Goran Ristić Miguel A. Carvajal Department of Microelectronics Faculty of Electronic Engineering University of Niš Serbia Department of Electronics and Computer Technology University of Granada Spain

This paper presents research on methods for implementation of NFC technology into ESP32 based IoT systems. Two main methods are proposed, first with the commercial modules that incorporate built-in antenna and module that is universal transceiver and decoder, and second method, where all of the integral parts of the system are designed separately. Methods are analyzed and compared in terms of feasibility, speed, resources and cost, using specially developed tests. Tests consist of multiple writing and reading tasks from the NFC tag, ESP32 and the smartphone. Tests also examine the compatibility with the ESP32 for IoT applications and with NFC enabled smartphones. Results point out that first implementation method offers higher performance rate in terms of the most of criteria, while the second method gives broader versatility and wider compatibility range.

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Tailoring Free Electron Spontaneous Emission from Graphene using Shaped Electron Wavepackets

Tailoring Free Electron Spontaneous Emission from Graphene u...

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CLEO: Science and Innovations, S and I 2022

作者： Wong, Lee Wei Wesley Shi, Xihang Karnieli, Aviv Kaminer, Ido Wong, Liang Jie School of Electrical and Electronic Engineering Nanyang Technological University 50 Nanyang Avenue Singapore639798 Singapore Solid State Institute Faculty of Electrical and Computer Engineering Technion - Israel Institute of Technology Haifa32000 Israel

Photons emitted via bremsstrahlung are inherently incoherent and non-directional. We show that the intrinsic cross-section of bremsstrahlung from crystalline solids can be enhanced and made directional by shaping the ... 详细信息

ISBN: (纸本)9781557528209

关键词： Electrons

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Decagonal C-Shaped CSRR Textile-Based Metamaterial for Microwave Applications

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computers, Materials & Continua 2022年第4期71卷 1677-1693页

作者： Kabir Hossain Thennarasan Sabapathy Muzammil Jusoh Ping Jack Soh Samir Salem Al-Bawri Mohamed Nasrun Osman Hasliza A.Rahim Danai Torrungrueng Prayoot Akkaraekthalin Advanced Communication Engineering(ACE)Centre of Excellence Universiti Malaysia Perlis(UniMAP)Jalan TigaPengkalan Jaya Business CentreKangar01000Malaysia Faculty of Electronic Engineering Technology Universiti Malaysia Perlis(UniMAP)Kampus Alam UniMAP Pauh PutraArau02600Malaysia Centre for Wireless Communications(CWC) University of Oulu90014Finland Space Science Centre Climate Change InstituteUniversiti Kebangsaan MalaysiaBangi43600Malaysia Department of Teacher Training in Electrical Engineering Faculty of Technical EducationKing Mongkut’s University of Technology North Bangkok(KMUTNB)WongsawangBangsue10800Thailand Department of Electrical and Computer Engineering Faculty of EngineeringKing Mongkut’s University of Technology North Bangkok(KMUTNB)WongsawangBangsue10800Thailand

This paper introduces a decagonal C-shaped complementary splitring resonator(CSRR)textile-based metamaterial(MTM).The overall size of the proposed sub-wavelength MTM unit cell is 0.28λ0×0.255λ0 at 3 *** stopband behaviour was first studied prior analysing the negative index properties of the proposed *** is worth noting that in this work a unique way the experiments were *** both simulations and measurements,the proposed MTM exhibited negative-permittivity and negative-refractive index characteristics with an average bandwidth of more than 3 GHz(considering 1.7 to 8.2 GHz as the measurements were carried out within this range).In simulations,the MTM exhibited negative-permittivity properties within the range of 1.7 to 7.52 GHz and 7.96 to 8.2 GHz;and negative-refractive index from 1.7 to 2.23 GHz and 2.33 to 5.09 GHz and 5.63 to 7.45 *** measured from 1.7 to 8.2 GHz,negative-permittivity and negative-refractive index characteristics are exhibited throughout an average bandwidth of more than 3 ***,the transmission coefficient attained in simulations and measurements indicated about 3 GHz of bandwidth,from 1.7 to 3.88 GHz and from 6.68 to 7.4 *** satisfactory agreement between simulations and experiments indicates the potential of the proposed MTM for microwave applications.

关键词： Metamaterial textile metamaterial bioelectromagnetics metasurface antennas

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An Agent Based Travel Assistant for the Dutch Railway Network

An Agent Based Travel Assistant for the Dutch Railway Networ...

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International Conference on Information Technologies (InfoTech)

作者： Leon Rothkrantz Martijn Beelen Faculty of Electronic Engineering Mathematics and Computer Science Delft University of Technology Delft Netherlands Faculty of Transportation Sciences Czech Technical University in Prague

For many years the Dutch NS Railway Company runs all trains in the Netherlands. It can be expected that next year different transport companies will exploit the Dutch railway network. Possible that they will use different systems to design timetables, generate travel plans and to handle delays. In this paper we research the coordination between different systems. A prototype of distributed systems in different areas has been developed using agent technology. The system has been tested in simulation studies.

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Decentralized Spectrum Sharing Networks Based on Blockchains

Decentralized Spectrum Sharing Networks Based on Blockchains

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International Wireless Communications and Mobile Computing Conference, IWCMC

作者： Shuyue Ai Yuna Jiang Qiang Li Xiaohu Ge Aduwati Sali School of Electronic Information and Communications Huazhong University of Science and Technology Wuhan China Dept. of Computer and Communication Systems Engineering Faculty of EngineeringUPM WiPNET Research Centre

ISBN: (数字)9798350361261

ISBN: (纸本)9798350361278

The dynamic spectrum sharing technology in cognitive radio can effectively improve the utilization rate of spectrum and relieve the current spectrum pressure. To realize spectrum sharing without trust between SUs and PUs belonging to various operators, a decentralized spectrum sharing scheme based on blockchain is proposed in this paper. A latency model and a decentralization degree model of blockchain-enabled spectrum sharing network are formulated. Network scale law in this paper is defined as the change law of structure and scale in a network. Based on the proposed decentralization degree and latency model, the scale law of blockchain networks under the constraints of latency and decentralization is studied. The simulation analyzes the change of the proportion of consensus nodes in the blockchain network with different requirements for latency and decentralization. The results show that when blockchain networks have both low latency and decentralization characteristics, the upper limit of the total number of nodes is 390, and the value range of the proportion of consensus nodes is between 0.13 and 0.56.

关键词： Blockchains Cognitive radio Low latency communication Mobile computing

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Flexible HTTP-based Video Adaptive Streaming for good QoE during sudden bandwidth drops

EAI Endorsed Transactions on Industrial Networks and Intelli...

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EAI Endorsed Transactions on Industrial Networks and Intelligent Systems 2023年第2期10卷

作者： Hung, Nguyen Viet Chien, Trinh Dac Nam, Pham Ngoc Huong, Truong Thu Faculty of Information Technology East Asia University of Technology Viet Nam College of Engineering and Computer Science VinUniversity Hanoi Viet Nam School of Electrical and Electronic Engineering Hanoi University of Science and Technology Viet Nam

We have observed a boom in video streaming over the Internet, especially during the Covid-19 pandemic, that could exceed the network resource availability. In addition to upgrading the network infrastructure, finding a way to smartly adapt the streaming system to the network and users’ conditions to satisfy clients’ perceptions is exceptionally critical, too. This paper proposes a new QoE-aware adaptive streaming scheme over HTTP - ABRA - to make flexible adaptations based on the network and the client’s current status. Besides, we propose a technique that can keep the buffer at an average high for more than 10s. We were limiting the phenomena of rebuffering due to unexpected and unpredictable bandwidth changes. The algorithm keeps the quality of subsequent versions’ quality constant even when the average bitrate decreases, increasing the QoE. Experimental results show that our method can improve QoE from 7.86% to 20.41% compared to state-of-theart methods. ABRA can provide better performance in terms of QoE score in all buffer conditions compared to the existing solutions while maintaining a minimum secured buffer level for the worst case. © 2023 Nguyen Viet Hung et al., licensed to EAI. This is an open access article distributed under the terms of the CC BY-NC-SA 4.0, which permits copying, redistributing, remixing, transformation, and building upon the material in any medium so long as the original work is properly cited.

关键词： HTTP

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WiFi-based Positioning System with k-means Clustering and Outlier Removal: Evidence from Multiple Datasets 23

WiFi-based Positioning System with k-means Clustering and Ou...

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12th International Symposium on Information and Communication technology, SOICT 2023

作者： Pham-Hai, Dang Duong-Bao, Ninh He, Jing Nguyen Thi, Luong Lee, Seon-Woo Nguyen-Huu, Khanh Department of Electronics and Telecommunications Dalat University Dalat Viet Nam College of Computer Science and Electronic Engineering Hunan University Changsha China Faculty of Information Technology Dalat University Dalat Viet Nam Division of Software Hallym University Chuncheon Korea Republic of

ISBN: (纸本)9798400708916

Indoor positioning systems are receiving much attention due to their practical applications in our daily lives. WiFi Fingerprinting is the technique that is commonly used for indoor positioning due to its utilization of the WiFi infrastructure which is ubiquitously deployed in modern buildings. However, this technique suffers from the computational burden when determining the user's position in big areas that consist of lots of fingerprints and reference points. To reduce the search space as well as computing time, the clustering algorithm can be applied. In this paper, we evaluate the efficacy of k-means clustering in the WiFi Fingerprinting-based positioning system. Moreover, k-means clustering with outlier removal is applied in several public datasets, in which the WiFi data was collected in different environmental conditions, to show how much the clustering algorithm can help in reducing the computing time as well as improving the positioning accuracy. From the experimental results, compared to popular deterministic-based algorithms, the clustering algorithm can significantly reduce the computing time by up to 79.07%. Nevertheless, it cannot surpass the positioning accuracy of the compared algorithms. © 2023 ACM.

关键词： Indoor positioning systems

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