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Toward Optimal Cost-Energy Management Green Framework for Sustainable Future Wireless Networks

computers, Materials & Continua 2021年第7期68卷 1321-1339页

作者： Mohammed H.Alsharif Abu Jahid Mahmoud A.Albreem Peerapong Uthansakul Jamel Nebhen Khalid Yahya Department of Electrical Engineering College of Electronics and Information EngineeringSejong UniversitySeoul05006Korea Department of Electrical and Computer Engineering University of OttawaOttawaK1N 6N5ONCanada Department of Electronics and Communications Engineering A’Sharqiyah UniversityIbra400Oman School of Telecommunication Engineering Suranaree University of TechnologyNakhon RatchasimaThailand College of Computer Engineering and Sciences Prince Sattam bin Abdulaziz UniversityAlkharj11942Saudi Arabia Department of Mechatronics Faculty of Engineering and ArchitectureIstanbul Gelisim UniversityIstanbul34310Turkey

The design of green cellular networking according to the trafc arrivals has the capability to reduce the overall energy consumption to a cluster in a cost-effective *** cell zooming approach has appealed much attention that adaptively ofoads the BS load demands adjusting the transmit power based on the trafc intensity and green energy ***,the researchers are focused on implementing renewable energy resources,which are considered the most attractive practices in designing energy-efcient wireless networks over the long term in a cost-efcient way in the existing *** utilization of available solar can be adapted to acquire cost-effective and reliable power supply to the BSs,especially that sunlight is free,available everywhere,and a good alternative energy option for the remote ***,planning a photovoltaic scheme necessitates viability assessment to avoid poor power supply,particularly for ***,cellular operators need to consider both technical and economic factors before the implementation of solar-powered *** paper proposed the usercentric cell zooming policy of solar-powered cellular base stations taking into account the optimal technical criteria obtained by the HOMER software *** results have shown that the proposed system can provide operational expenditure(OPEX)savings of up to 47%.In addition,the efcient allocation of resource blocks(RBs)under the cell zooming technique attain remarkable energy-saving performance yielding up to 27%.

关键词： Wireless networks beyond 5G green communications sustainability OPEX communication systems

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Service-Centric Architectures in Cloud Security: An In-Depth Analysis

Service-Centric Architectures in Cloud Security: An In-Depth...

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Advances in Computation, Communication and Information technology (ICAICCIT), International Conference on

作者： Natya S Vivek V Dhananjay Kumar Yadav Department of Electronics and Communication Engineering Presidency University Bangalore Karnataka India Department of Computer Science Engineering Faculty of Engineering and Technology JAIN (Deemed-to-be University) Bangalore Karnataka India Maharishi School of Engineering and Technology Maharishi University of Information Technology Uttar Pradesh India

Due to its affordable and high-quality services, cloud computing has lately attracted a lot of interest. Due to the on- demand, pay-per-use characteristics that cloud services provide, which encourage companies to outsource parts of their operations with better service delivery and more value, they have become an essential component of both businesses et people's everyday lives during the last ten years. In the next years, a continued migration towards cloud-based services is predicted by the current market trend, which started in 2019. Despite the many benefits that the cloud computing paradigm offers to both enterprises and consumers, security issues are expected to be the biggest cloud computing challenges in 2020. Security problems are a result of a number of variables, including the streaming nature of these solutions and the technology that support cloud computing, which includes hybridization and multitenancy. This research examines security concerns in service-driven cloud computing in order to shed light on the situation of the industry at the moment. This paper's main contribution is an analysis of cloud security over the last ten years and the presentation of a thorough taxonomy of security concerns throughout the three-layer architecture, which includes Infrastructure-as-a-Service (IaaS), Platform-as- (PaaS), and Software-as-a-Service (SaaS).

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MATLAB Toolbox for fractional-variable-order closed loop systems with a digital controller

MATLAB Toolbox for fractional-variable-order closed loop sys...

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International Conference on Control, Automation, Robotics and Vision (ICARCV)

作者： Piotr Oziablo Dorota Mozyrska Mariusz Matusiak Faculty of Computer Science Bialystok University of Technology Wiejska 45A Poland Faculty of Electrical Electronics Computer Science and Control Engineering Lodz University of Technology Lodz Poland

ISBN: (纸本)9781665476881

In the paper, there is presented a MATLAB Toolbox that allows simulation and parameter tuning of closed-loop systems with fractional-variable-order digital PID (FVOPID) controllers. The proposed toolbox provides MATLAB Simulink blocks of FVOPID based on two different implementations of Grünwald-Letnikov fractional-variable-order operator. An additional part of the toolbox is an application with a GUI interface which primary purpose is to simulate and find the optimal tuning parameters of FVOPID for a given closed-loop system. The tuning process, in this case, can be performed employing different optimization methods set to minimize an objective function according to the selected integral criterion. The paper describes the internal architecture (design) of the toolbox and its functionalities.

关键词： Software packages Optimization methods Programming Linear programming Calculus Closed loop systems Tuning

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Evolving Mobile Cloud: Enhancement Technologies and Future Approaches

Evolving Mobile Cloud: Enhancement Technologies and Future A...

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International Conference on Power Energy, Environment and Intelligent Control (PEEIC)

作者： Mahesh TR Ritesh Kumar Mrs. Kehkeshan Jallal S Department of Computer Science Engineering Faculty of Engineering and Technology JAIN (Deemed-to-be University) Bangalore Karnataka India Maharishi School of Engineering & Technology Maharishi University of Information Technology Uttar Pradesh India Department of Electronics and Communication Engineering Presidency University Bangalore Karnataka India

There are still limitations in terms of life of the battery and processing power that make it difficult to fulfill the expanding needs of mobile users, despite the fast progress in hardware capacity or the widespread usage of mobile devices. Both conventional and cutting-edge approaches have been investigated to close the distance between customer demands and the constraints of mobile devices. In the context of the mobile cloud, current studies have concentrated on boosting the performance for mobile devices using augmentation approaches. Our emphasis is on the methods themselves, as opposed to current taxonomies in this area, with the aim of establishing a whole mobile computing cloud system. With the goal of ensuring dependable mobile cloud services, this survey may be used as a reference for implementing the augmentation approaches that are now accessible in portable cloud computing systems. We also talk about the unresolved issues and prospective directions for further study in this area.

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Reassessing Deep Learning in Time Series: Predicting Time with Foresight

Reassessing Deep Learning in Time Series: Predicting Time wi...

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Advances in Computation, Communication and Information technology (ICAICCIT), International Conference on

作者： Vinutha C B Vivek V Megha Pandeya Department of Electronics and Communication Engineering Presidency University Bangalore Karnataka India Department of Computer Science Engineering Faculty of Engineering and Technology JAIN (Deemed-to-be University) Bangalore Karnataka India Maharishi School of Engineering & Technology Maharishi University of Information Technology Uttar Pradesh India

Machine learning relies heavily on time series forecasting, which has a wide range of uses, including although not limited to forecasting air quality, traffic patterns, and power use. Recent developments in deep training and matrix factorization models, however, have shown competitive performance and are emerging as alternatives. However, a fundamental disadvantage of these contemporary models over more established ones is their complexity. The Gradient Boosted Regression Tree, a well-known machine learning baseline, and popular deep learning models are compared in this work. We convert the time series forecast challenge into a window-based prediction issue, which is akin to (DNN) models. In addition, we design the GBRT model's input and output structure. In order to construct a single input instance to simulate a multi-output GBRT model, we concatenate the desired values with additional characteristics for each training window before flattening them. Using nine datasets, we undertake a thorough investigation and evaluate eight cutting-edge deep learning models recently presented at prestigious conferences. The findings show that a simple GBRT model performs much better than the state-of-the-art DNN models evaluated in this research thanks to the window-based input transformation.

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URLLC in 5G & Beyond: Specifications and Technologies

URLLC in 5G & Beyond: Specifications and Technologies

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International Conference on Power Energy, Environment and Intelligent Control (PEEIC)

作者： Gadug Sudhamsu Awakash Mishra Kiran Kale Department of Computer Science Engineering Faculty of Engineering and Technology JAIN (Deemed-to-be University) Bangalore Karnataka India Maharishi School of Engineering & Technology Maharishi University of Information Technology Uttar Pradesh India Department of Electronics and Communication Engineering Presidency University Bangalore Karnataka India

With the ability to communicate between machines and people, the Tactile Internet (TI) represents a substantial advancement over the Internet of Things (IoT). TI wants to make it easier to develop real-time interactive applications in a variety of fields, including as engineering, social engagement, and business. The future 5th Generation (5G) technology is focused on offering Ultra-Reliable Low Latency Communication (URLLC) services to satisfy the demanding needs of TI applications. According to 3GPP specifications, URLLC may transmit a single 32-byte packet with a latency of less than one millisecond and achieve 99.99% dependability. In order to accomplish these objectives, the 3GPP presents 5G New Radio (5G NR), a flexible orthogonal frequency division multiplexing (OFDM) approach, as a new radio access technology (RAT). With the introduction of this new RAT, it is clear that we need next-generation solutions, especially ones that include network intelligence. To fulfil the URLLC needs of 5G NR, machine learning (ML) methods are anticipated to be crucial in building intelligent network resource distribution algorithms. This review analyses the possible use of Federated reinforcement learned, an ML approach, to satisfy the needs of 5G NR URLLC and lists the pertinent URLLC accomplishments. Plane channel entry techniques that support URLLC in 5G NR for TI workloads are covered in great detail in this study. It also pinpoints seven crucial upcoming situations where FRL might function as a possible facilitator for URLLC in 5G NR.

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Analysis of Network Technologies and Cyber security Assessment for Enhancing Machine Learning, Grid Computing and Cyber-Physical Connectivity Internetwork Effectiveness 2

Analysis of Network Technologies and Cyber security Assessme...

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2nd International Conference on Innovative Practices in technology and Management, ICIPTM 2022

作者： Dhanalakshmi, B. Singh, Chaitanya Surya, S. Hedage, Atharav Kuchhal, Shikha Tongkachok, Korakod B.S. Abdur Rahman Crescent Institute Of Science And Technology Computer Science And Engineering Tamilnadu Vandalur India Swarrnim Startup Innovation University Computer Engineering Department Gujarat Gandhinagar India School Of Computing Kalasalingam University Computer Science And Engineering Tamilnadu Sirivelliputhur India Vishwakarma Institute Of Information Technology Electronics And Telecommunications Pune Belgaum Karnataka India Spitm Dcrust Department Of Ece Murthal India Thaksin University Faculty Of Law Thailand

ISBN: (纸本)9781665466431

The fast improvement of the Internet has incredibly worked with individuals spreading information worldwide, prompting the Internet turning into a pivotal apparatus in many fields like science, trade, schooling, etc. With the Internet common in such countless parts of day to day existence, network security has become basic and requests consistent consideration. For this situation, an IDS's motivation is to recognize between real organization associations and possibly hurtful ones. The recommended method in this examination centers around an interruption identification and avoidance system that comprises of Cloudlet Controller (CC), Trust Authority (TA), and Virtual Machine Manager to recognize questionable practices in a cloud climate. Cloud clients are migrated to different regions in the climate, as indicated by our proposed approach. Whenever information bundles from different clients are gathered, network traffic happens. To resolve this issue, we assembled the Cloudlet Controller, which gets bundles from different clients through switch. CC gets parcels until they arrive at their edge level;if the cloudlet is over-burden, the bundles are shipped off inactive cloudlets. In this philosophy, network traffic is decreased, and it is significantly helpful in identifying interruptions in a straightforward way. In this review, a cross breed arrangement based interruption location and counteraction framework on the cloud is worked to distinguish gatecrasher exercises in the framework. A cross breed characterization based interruption location framework is created with a few cloudlets, a cloudlet regulator, a confided in power, and a virtual machine supervisor to distinguish interloper assaults in the framework, as well as a deterrent instrument to safeguard bundles from gatecrashers. © 2022 IEEE.

关键词： Machine learning

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Error Performance of RIS-Assisted NOMA Networks with Imperfect Channel State Information

Error Performance of RIS-Assisted NOMA Networks with Imperfe...

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IEEE Conference on Vehicular technology (VTC)

作者： G. Cao M. Li H. Yuan W Chen L. Li A. Raouf School of Electronics Information Engineering Taiyuan University of Science and Technology China School of Computer Science and Mathematics Kingston University UK Department of Electronic Engineering Tsinghua University China Faculty of Technology at UISTAM Abidjan

This paper investigates the impact of imperfect channel state information (ipCSI) on the performance of RIS-assisted NOMA vehicular networks while considering the effect of imperfect successive interference cancellation (ipSIC). Moreover, we present novel closed-form pairwise error probability (PEP) expressions with arbitrary L users. The PEP is used to evaluate the union bound on the bit error rate of NOMA users. Finally, the analysis is supported by numerical and Monte Carlo simulation results. We show that the impact of ipCSI with ipSIC on each user’s error rate performance is great at the high P s . We also confirm that the error rate performance of the system decreases with the increase of RUs.

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Investigations on Cyber Security Vulnerability using Distribution Analysis

Investigations on Cyber Security Vulnerability using Distrib...

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IEEE Students' Conference on Electrical, electronics and computer Science (SCEECS)

作者： Leo John Baptist Andrews Annamalai Alagappan D Sarathkumar M. Fathima Sampath Kumar Venkatachary R Rajeshkanna Raymon Antony Raj Department of Information Technology Faculty of Engineering and Technology Botho University Gaborone Botswana Department of Network and Infrastructure Management Faculty of Engineering and Technology Botho University Gaborone Botswana Department of Electrical and Electronics Engineering Kongu Engineering College Erode District Tamilnadu India Department of Computer Science and Business Systems Sri Krishna College of Engineering and Technology Coimbatore Tamilnadu India Grant Thornton Gaborone Botswana Department of EEE Thamirabarani Engineering College Tirunelveli Tamil Nadu India

Internet communication is used as a mode of engagement by businesses, organizations, and even nations in a variety of contexts. As a result, both the quantity of data produced and the importance of the information that can be derived from it are growing. Multiple safeguards are required in order to ensure that the accessibility, integrity, and confidentiality of company information and assets are maintained. When it comes to protecting the privacy of a company and its reputation, adopting countermeasures and minimizing the damage caused by irreversible cyberattacks are both very crucial. It is possible to utilize both active and passive attack tactics, as well as social engineering tests, to evaluate the weaknesses of a corporation’s cyber security. The identification and ranking of vulnerabilities both play an active part in the process of raising the level of corporate awareness, as well as closing shortfalls and enhancing measures. In this investigation, ethics committee reports and confidentiality agreements were followed in order to do a cyber security vulnerability assessment on seven separate organizations. These organizations represented the governmental sector, the corporate sector, and the civil society. In order to evaluate the effectiveness of the firms' cyber security infrastructures, security scans such as port, web, application-based system and network penetration tests, distributed denial of service attacks, and social engineering were carried out. The Common Vulnerability Scoring System (CVSS) was used in order to change the base score of each institution and to identify the vulnerabilities that were present. Enterprise Networks, Cyber Security Analysis, Cyber Attacks, Penetration, and Vulnerability are some of the Keywords that can be found in this article.

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Non-contact Breathing Patterns Recognition with FMCW Radar by Processing Temporal Information using Transformer Network

Non-contact Breathing Patterns Recognition with FMCW Radar b...

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Asia-Pacific Conference on Microwave

作者： Cries Avian Jenq-Shiou Leu Erfansyah Ali Nur Achmad Sulistyo Putro Hang Song Jun-Ichi Takada Setya Widyawan Prakosa Ariana Tulus Purnomo Department of Electronic and Computer Engineering National Taiwan University of Science and Technology Taipei Taiwan School of Electrical Engineering Telkom University Bandung Indonesia Department of Computer Science and Electronics Faculty of Mathematics and Natural Sciences Universitas Gadjah Mada Yogyakarta Indonesia Department of Transdisciplinary Science and Engineering Tokyo Insitute of Technology Tokyo Japan Faculty of Engineering and Technology Sampoerna University Jakarta Indonesia

This paper proposed non-contact monitoring by classifying breathing patterns using a frequency-modulated continuous wave (FMCW) radar sensor. First, the data were from the subject to conducting breathing pattern: normal, quick, hold, deep, deep quick. Second, we extract the breath wave patterns by employing several block preprocessing and extracting its temporal information that was not investigated by our previous work. Then, to distinguish those five breath wave conditions, the designated Transformer architecture is proposed. Finally, we compared our previous work and demonstrated that our model could enhance accuracy and attained 98.6% of F1-Scores.

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