مطالب مرتبط با کلیدواژه

Energy Efficiency


۱.

Design of A Fuzzy-controlled Energy - Efficient Multicast Scheduler (FEMS) For SDWSN(مقاله علمی وزارت علوم)

نویسنده:
منبع: Journal of Information Technology Management , Volume ۱۳, Special Issue: Big Data Analytics and Management in Internet of Things, ۲۰۲۱ 111 - 132

کلیدواژه‌ها: Energy Efficiency Fuzzy scheduler Multicasting Software-defined wireless sensor networks urgency

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تعداد بازدید : ۳۱۴ تعداد دانلود : ۱۹۸
Multicasting is an important operation in software-defined wireless sensor networks (SDWSNs). In this operation, a group of nodes specified by their unique node identification numbers is supposed to receive the same multicast message at the approximately same time, if possible. These nodes are termed as multicast members or multicast destinations. They need not be physically close to one another to form a group. The present article proposes an energy-efficient scheduler exclusively for multicast operation in the SDWSN environment. Based on the advantages provided by underlying network architecture, a router can efficiently schedule multicast packets belonging to various multicast sessions. This promotes greenery in the network and significantly increases the packet delivery ratio. These claims are supported and justified by the experimental results presented in this paper. As far as the authors know, there is no multicast packet scheduler in the literature of wireless sensor networks or WSN. SDWSN is a more advanced version, and no multicast protocol has yet been proposed for these kinds of networks. Therefore, while designing the present fuzzy scheduler, we kept in mind all standard multicast protocols in the WSN environment.
۲.

Harvesting Daylight in High-rise Office Buildings Using Phyllotaxis Model(مقاله علمی وزارت علوم)

نویسنده:
منبع: Architecture and Urban Development, Volume ۱۱, Issue ۳ - Serial Number ۴۱, Summer ۲۰۲۱ 13 - 26

کلیدواژه‌ها: Daylight Energy Efficiency visual comfort High-rise building Phyllotaxis Biomimicry

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تعداد بازدید : ۶۱۱ تعداد دانلود : ۳۰۷
Various researches have introduced methods to use daylight in office buildings in the Middle Eas t zone, but none of them have ever considered the use of plant leaf arrangement, called phyllotaxis, as a comprehensive solution for harves ting daylight. The idea of the Phyllotaxis Tower has been raised for several years but the main ques tion of this research is whether using the phyllotaxis model is capable of exploiting daylight in high-rise buildings or not. So, in response to this ques tion, the main aim of the research was set to evaluate daylight efficiency in high-rise office buildings by presenting an exemplary and phyllotaxis-inspired design. The research method is encompassed several s teps including, s tudying the literature on the subject firs tly, then modeling a prototype building based on the Biomimicry Problem-Based approach, and eventually computer simulation to evaluate the performance of the proposed building. The results show that office units can get daylight illuminance of 500 lux at 50% of operating time per year in addition to proper performance on four single days of different seasons of the year. Furthermore, the sample building obtained label B of energy consumption from S tandard No. 14254 presented by the Ins titute of S tandards and Indus trial Research of Iran, which has been compared with the energy label of 45 office buildings in the same location and same climate conditions, based on the figures are defined on the aforementioned s tandard and has the bes t performance among them.
۳.

Energy Conservation in Building(مقاله علمی وزارت علوم)

نویسنده:
منبع: Architecture and Urban Development, Volume ۹, Issue ۱ - Serial Number ۳۰, Winter ۲۰۱۹ 5 - 16

کلیدواژه‌ها: Net zero energy building Energy Efficiency Energy Conservation

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تعداد بازدید : ۳۶۸ تعداد دانلود : ۱۹۱
The building sector accumulates approximately a third of the final energy consumption. Consequently, the improvement of the energy efficiency in buildings has become an essential instrument in the energy policies to ensure the energy supply in the mid to long term moreover is the most cost-effective strategy available for reducing carbon dioxide emissions This paper is studying the main objectives for an effective sustainable building taking into account the environmental sustainability aspect, where it has introduced the main principles for developing building concept and the governor concepts for this development for forming sustainable building skins, also it is focusing on the different techniques in terms of natural ventilation, sهادیng techniques, and energy conservation and its role in enhancing the internal environment. The main objective of the paper is to investigate the impact of different ventilation strategies that can be implemented in new and existing buildings in hot climates So that it can reduce the amount of energy needed for building and sustainability in this climate.
۴.

Identifying Factors Affecting Energy Waste in the Production Industry and Providing a Suitable Model for Energy Efficiency and Development of Renewable Energy in the Production Sector(مقاله علمی وزارت علوم)

نویسنده:
منبع: Journal of System Management, Volume ۱۱, Issue ۲, Spring ۲۰۲۵ 157-172

کلیدواژه‌ها: Energy waste Manufacturing Industries Energy Efficiency Renewable Energy

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تعداد بازدید : ۷۴ تعداد دانلود : ۸۱
The energy sector is a vital pillar of economic development of any country. The government and the private sector are exploring efficient energy sources, and for this purpose, various governments have specified carbon-related targets considering the existing realities. In such circumstances, manufacturing companies are under pressure to improve their energy performance. In these circumstances, reducing energy loss from production systems is very important. The aim of the present study is to identify the factors affecting energy loss in the manufacturing industry and to provide a suitable model for energy efficiency and the development of renewable energies in the manufacturing sector. The research method is mixed. The study sample consisted of 148 experts in manufacturing industries affiliated with the Electronic Industries Company in Shiraz. Data analysis was performed using pls software. The results show that reforming the infrastructure related to renewable energies, paying the initial costs of technology adoption, supporting policies, technological innovations, and inter-sectoral cooperation in technology can be solutions for the development of renewable energies in the manufacturing sector.
۵.

Comparative Evaluation of the Effectiveness of Cool Roofs in the Hot and Dry Climate of Iran(مقاله علمی وزارت علوم)

نویسنده:
منبع: Architecture and Urban Development, Volume ۱۵, Issue ۱ - Serial Number ۵۵, Winter ۲۰۲۵ 31 - 42

کلیدواژه‌ها: Cool roofs Hot and dry climates educational buildings Sustainability Passive cooling strategies Energy Efficiency Thermal Comfort

حوزه‌های تخصصی:
تعداد بازدید : ۸۶ تعداد دانلود : ۹۸
Escalating urban heat island effects and rising energy demands in Iran's hot, dry climate pose a serious challenge for educational buildings, where high occupant density intensifies cooling needs and operational costs. This research addresses the urgency of adopting cool roof technologies—such as reflective coatings, green roofs, high-albedo materials, and radiative cooling roofs—to mitigate extreme indoor temperatures, reduce carbon footprints, and enhance student and staff well-being. Drawing on empirical data, simulation models, and a comprehensive literature review, we employ a weighted-scoring framework that evaluates each technology's thermal performance, energy savings, cost factors, durability, and environmental impact. Findings reveal that while radiative cooling roofs offer the greatest potential for reducing cooling loads (up to 30–40%) and maintaining comfortable indoor temperatures, they demand more advanced materials and higher initial investment. Green roofs yield substantial insulation and environmental benefits, but are limited by water scarcity and elevated setup costs. Conversely, reflective coatings and high-albedo materials strike a balance between effectiveness and affordability, making them viable for retrofits in budget-constrained educational facilities. The results underscore the need for context-specific solutions that consider local climate, water resources, building typology, and policy incentives. By clarifying the strengths and trade-offs of each cool roof approach, this study provides actionable guidance for architects, policymakers, and school administrators seeking sustainable and cost-effective interventions. Future research should focus on long-term performance monitoring, integrating complementary passive strategies (e.g., shading, natural ventilation), and developing localized materials tailored to resource-limited contexts.
۶.

Achieving Sustainability in Computing by Minimizing Data Center Carbon Footprints(مقاله علمی وزارت علوم)

نویسنده:
منبع: پژوهشنامه پردازش و مدیریت اطلاعات دوره ۴۰ تابستان ۱۴۰۴ ویژه نامه انگلیسی ۴ (پیاپی ۱۲۵) 1 - 28

کلیدواژه‌ها: Sustainable computing data centers Carbon footprint Energy Efficiency Renewable Energy cooling technologies Power Usage Effectiveness (PUE) Carbon Usage Effectiveness (CUE) green computing Environmental impact

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تعداد بازدید : ۷ تعداد دانلود : ۳
Background: The exponential growth of data centers has significantly increased their carbon footprint, raising concerns about their environmental impact. As the demand for digital services and cloud computing intensifies, sustainable computing practices have become crucial for mitigating climate change. Objective: This paper aims to explore strategies for reducing the carbon footprint of data centers by integrating sustainable computing practices, including energy-efficient hardware, renewable energy sources, and optimized cooling technologies. Methods: A comprehensive review of existing literature was conducted, along with an analysis of case studies from major technology firms employing green computing strategies. Data center energy consumption patterns and carbon emissions were evaluated using energy efficiency metrics such as Power Usage Effectiveness (PUE) and Carbon Usage Effectiveness (CUE). Results: Findings indicate that adopting energy-efficient hardware, coupled with renewable energy sources, can significantly reduce energy consumption and carbon emissions. Optimized cooling techniques, such as liquid cooling and free-air cooling, further contribute to energy savings. Companies employing these practices reported a reduction in carbon emissions by up to 30%. Conclusion: Sustainable computing practices offer a viable path for reducing the environmental impact of data centers. By prioritizing energy efficiency and renewable energy integration, data centers can minimize their carbon footprint while maintaining operational efficiency, thus contributing to global sustainability goals.
۷.

Integrating IoT, Artificial Intelligence, and Blockchain Technologies for the Development of Smart Networks(مقاله علمی وزارت علوم)

نویسنده:
منبع: پژوهشنامه پردازش و مدیریت اطلاعات دوره ۴۰ تابستان ۱۴۰۴ ویژه نامه انگلیسی ۴ (پیاپی ۱۲۵) 341 - 367

کلیدواژه‌ها: Internet of Things (IoT) artificial intelligence (AI) Blockchain Smart Networks Data Integrity Network Optimization Decentralization Scalability Energy Efficiency smart cities

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تعداد بازدید : ۸ تعداد دانلود : ۶
Background: IoT Smart networks are the latest creation of smart technology where Internet of Things, Artificial Intelligence, and Blockchain technologies have merged. Such technologies have the possibility of increasing performance, security and the degree of expansion in different fields like smart city, health and manufacturing. As it is, there are several issues that organisations continued to encounter when implementing both these systems in order to address diversified network requirements. Objective: The study aims to define how IoT, AI, and Blockchain technologies can be integrated to develop smart networks and how their integration will address the issues of performance, data integrity, and resource utilization in smart networks. Methods: The solution consisted of three components: IoT for instant data gathering, AI for modeling and efficient traffic control, Blockchain for secure data storage. Analyses of various objectives such as data throughput, latency, energy consumption, and security were conducted for smart city applications through simulations. Results: The linked matrix obtained a 45% increase in data transfer rate, a 40% cut in response time and a 50% enhancement of power utilization compared to other systems. Purchases made using blockchain were correct to the last digit, achieved with a success rate of 99.9%, and there were no cases of hacking. AI algorithms minimized congestion levels of the network by 55%, and IoT devices remained available 98% of the time. Conclusion: The incorporation of the IoT, AI and Blockchain enhances the effectiveness and assures the stability of smart networks greatly. From these findings, there is a significant potential for broad utility thus the need for research on the scale, integration, and testing of these in practice.
۸.

Neuromorphic Computing with a Paradigm Shift in Energy-Efficient and Scalable AI Hardware for Real-Time Applications(مقاله علمی وزارت علوم)

نویسنده:
منبع: پژوهشنامه پردازش و مدیریت اطلاعات دوره ۴۰ تابستان ۱۴۰۴ ویژه نامه انگلیسی ۴ (پیاپی ۱۲۵) 401 - 433

کلیدواژه‌ها: Neuromorphic computing AI hardware spiking neural networks (SNNs) brain-inspired architecture Loihi TrueNorth Energy Efficiency real-time processing edge computing scalable AI systems

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تعداد بازدید : ۹ تعداد دانلود : ۶
Background: Neuromorphic computing is a newly developed technology that is based on data-flow architectures similar to the brain, which has the potential to power energy-constrained, latency-sensitive, and large-scale applications. The lack of flexibility in energy consumption and response time of traditional systems is a problem where neuromorphic platforms shine in real-time applications like robotics, IoT and autonomous systems. Objective: The article aims to assess the capabilities of neuromorphic computing platforms with respect to conventional schemes, both quantitatively and qualitatively, in terms of energy consumption, response time, modularity, and application-dependent adaptability, and to determine the drawbacks and application prospects for its further development. Methods: The study uses a comparative analysis approach to compare the identified factors and make statistical comparisons of the performance measures. The performance of the neuromorphic platforms as compared to non-neuromorphic platforms like Intel Loihi, IBM TrueNorth, NVIDIA Tesla V100, and Google TPU is compared based on its applications in robotics, IoT, and especially in healthcare. Data is derived from the experimental assessments of knowledge and theoretical paradigms encountered in prior research studies. Results: Neuromorphic systems showed better energy consumption, system size, and delay characteristics. Nevertheless, that the algorithm so excellently solves particular tasks does not mean that it can successfully be used regardless of its purpose, or can be adapted freely to new, further-reaching trends, such as quantum computing. Regression results demonstrate a high degree of dependency between these measures as well as their potential for real time data processing. Conclusion: Neuromorphic computing can be regarded as a new paradigm of energy-efficient and scalable AI and is especially promising for latency-sensitive deployment. Their shortcomings have been discussed earlier, yet it is worth stating that extension of these approaches by hybrid systems and more sophisticated integration frameworks might open new opportunities and eventually promote them as a foundation for new-generation computation models.
۹.

Drone-Based Network Coverage Expansion in 6G Networks(مقاله علمی وزارت علوم)

نویسنده:
منبع: پژوهشنامه پردازش و مدیریت اطلاعات دوره ۴۰ تابستان ۱۴۰۴ ویژه نامه انگلیسی ۴ (پیاپی ۱۲۵) 637 - 666

کلیدواژه‌ها: UAV 6G network coverage interference management Energy Efficiency multi-agent reinforcement learning (MARL) trajectory optimization latency reduction SINR Real-time optimization

حوزه‌های تخصصی:
تعداد بازدید : ۹ تعداد دانلود : ۴
Background: The emergence of 6G networks requires new approaches to extend coverage, increase network availability and optimize performance in difficult conditions, including urban and rural areas. Thus, UAVs or UAV systems have developed as a powerful candidate to counter these problems by offering on-demand contingent coverage and differing communication services.   Objective: The opportunity of the development of UAVs’ application in the extension of the network’s coverage is studied in the context of energy efficiency, latency, and Inter-UE interference in high-density 6G environment. Methods: A three-layered optimization architecture was devised, including multi-agent reinforcement learning (MARL) for interference control, trajectory optimization techniques, and energy-aware deployment schemes. Small scale scenarios including urban, suburban and rural environment were considered and the results were analyzed based on the network coverage, energy efficiency, end to end latency and interference encountered on UAVs. Results: The outcome significantly revealed the enhancements in the spatial coverage of the network; UAVs prevented considerable gaps and offered enhancements of network coverage in rural and suburban regions. These achievements include up to 30.5% energy efficiency enhancement, more than 50% latency minimization and interference management that enabled 35.4% enhancement of SINR. Conclusion: Integrating of drones in 6G network is invaluable in enhancing coverage in the networks by providing massive coverage while at the same time providing scalable solutions to problems of coverage gaps, power demands and real-time network adjustments. In future studies, researchers should channel their efforts toward increasing real-time dynamism and energy consumption that suit large-scale executions.
۱۰.

Drones as Mobile 5G Base Stations with Expanding Coverage in Remote Areas(مقاله علمی وزارت علوم)

نویسنده:
منبع: پژوهشنامه پردازش و مدیریت اطلاعات دوره ۴۰ تابستان ۱۴۰۴ ویژه نامه انگلیسی ۴ (پیاپی ۱۲۵) 667 - 697

کلیدواژه‌ها: Drones unmanned aerial vehicle (UAV) 5G Remote Areas Deployment Algorithms Particle Swarm Optimization (PSO) Grey Wolf Optimization (GWO) Energy Efficiency Coverage Mobile Networks

حوزه‌های تخصصی:
تعداد بازدید : ۱۱ تعداد دانلود : ۹
Background: The rapid development of fifth-generation (5G) networks highlights challenges in extending coverage to remote and underserved areas due to infrastructure limitations and cost constraints. UAVs (drones) equipped with 5G base stations emerge as an innovative solution to this problem. Objective: This study aims to analyze the potential of drones as mobile 5G base stations to enhance connectivity in remote regions, addressing challenges like optimal deployment, energy efficiency, and user coverage. Methods: The research utilizes algorithms like Particle Swarm Optimization (PSO) and Grey Wolf Optimization (GWO) for placement and energy management of drone-based 5G stations. Simulation models were employed to test these algorithms, with key metrics including coverage efficiency and energy consumption. Results: The study shows that drone-based stations can significantly improve coverage in remote areas, achieving up to 95% user coverage with optimized algorithms. Tethered drones and advanced energy management strategies were instrumental in enhancing endurance. Conclusion: Drones as mobile 5G base stations present a feasible and scalable approach to bridging the digital divide in remote regions. However, energy and regulatory challenges remain critical areas for future research.
۱۱.

Low-Latency Communication with Drone-Assisted 5G Networks(مقاله علمی وزارت علوم)

نویسنده:
منبع: پژوهشنامه پردازش و مدیریت اطلاعات دوره ۴۰ تابستان ۱۴۰۴ ویژه نامه انگلیسی ۴ (پیاپی ۱۲۵) 765 - 796

کلیدواژه‌ها: UAVs 5G networks latency reduction Energy Efficiency Signal-to-Interference-Plus-Noise Ratio (SINR) Optimization Algorithms Particle Swarm Optimization (PSO) Genetic Algorithm (GA) the Multi-Objective Evolutionary Algorithm (MOEA) Task Scheduling

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تعداد بازدید : ۶ تعداد دانلود : ۴
  Background: Unmanned Aerial Vehicles (UAVs) utilizing and active interface with 5G networks has become the new frontier to tackling problems of latency and energy efficiency, interference, and resource management. Although prior researches explained the benefits of UAV integrated networks; overall assessment of various parameters and cases is still scarce. Objective: The article seeks to assess the performance of UAV integrated 5G network in terms of latency, power, signal quality, task coordination and coverage optimization and to ascertain the efficiency of optimization algorithms in the improvement of the integrated 5G network. Methods: Emulations were done in MATLAB and NS3 platforms in urban / suburban / emergency call settings. Latency, power consumption, SINR, and completion time were the performance indicator chosen in the paper. Optimization algorithms: Particle Swarm Optimization (PSO), and Genetic Algorithm (GA), and the Multi-Objective Evolutionary Algorithm (MOEA) is evaluated in terms of Convergence time and Solution quality. Results : UAV-aided networks showed 36.7% and 29.2 % improvement in latency and energy consumption, while 33.6 % enhancement in SINR. MOEA offered the best results with 98.3% solution quality, and the PSO being the most convergence oriented. Minor deviations between simulation and real results highlight the need for adaptive mechanisms. Conclusion: The results presented focus on the enough potential of UAV-assisted 5G networks and their potential influence on improving performances in case of different criteria. Further research should focus on successfully implementing and deploying the proposed solutions and broadening the context of study to include 6G technologies.
۱۲.

Coordinated Communication Networks Using Drone Swarms for Advanced Telecommunication Systems(مقاله علمی وزارت علوم)

نویسنده:
منبع: پژوهشنامه پردازش و مدیریت اطلاعات دوره ۴۰ تابستان ۱۴۰۴ ویژه نامه انگلیسی ۴ (پیاپی ۱۲۵) 997 - 1025

کلیدواژه‌ها: Drone Swarms Telecommunication Systems Coordinated Networks Multi-Agent Algorithms 6G Technology edge computing Packet Delivery Ratio (PDR) latency reduction Energy Efficiency Fault Tolerance

حوزه‌های تخصصی:
تعداد بازدید : ۴ تعداد دانلود : ۷
Background : The increasing demand for flexible, resilient, and high-performance telecommunication systems—especially in dynamic environments—has led to growing interest in the use of autonomous drones. Their mobility and adaptability make drone swarms a promising solution for enhancing communication networks, particularly in 6G and edge computing applications. Objective : This study explores the application of drone swarms to improve network formation, synchronization, and resilience in both urban and rural telecommunication scenarios, with an emphasis on their feasibility, robustness, and adaptability. Method : A series of simulations were conducted using multi-agent coordination algorithms and network optimization models under varying conditions. Key performance indicators including Packet Delivery Ratio (PDR), latency, energy efficiency, and system reliability were evaluated across different deployment scenarios. Results : The findings indicate that drone swarms achieved a 92% PDR, a significant improvement over the 75% observed in static wireless network (WN) bases. Additionally, average latency decreased by 35%, while energy efficiency increased by 28%. The swarm-based system maintained robust performance even with up to 20% node loss, demonstrating strong fault tolerance and adaptability. Conclusion : The study confirms the potential of drone swarms as a scalable and resilient solution to address critical telecommunication challenges such as disaster response, rural connectivity, and real-time data transmission. Future work should focus on addressing remaining deployment barriers, including regulatory concerns and seamless integration with existing telecommunications infrastructure.
۱۳.

Smart Contracts and Blockchain: Transforming Telecommunications Contracts(مقاله علمی وزارت علوم)

نویسنده:
منبع: پژوهشنامه پردازش و مدیریت اطلاعات دوره ۴۰ تابستان ۱۴۰۴ ویژه نامه انگلیسی ۴ (پیاپی ۱۲۵) 1341 - 1371

کلیدواژه‌ها: Blockchain Smart Contracts (SC) telecommunications Scalability Quantum-Resistant Cryptography (QRC) AI-Driven Optimization Energy Efficiency 5G networks Internet of Things (IoT) Decentralized Systems

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تعداد بازدید : ۵ تعداد دانلود : ۴
Background: Smart contract is defined as a self-executing contract that runs on the distributed ledger technology, called block chain and has attracted much attention as a promising application for improving efficiency, accountability and reliability in telecommunications and related sectors. But problems like scalability issues, recurrent resource inefficiencies, and threats posed by new quantum computing technologies hinder their broad usage and effectiveness. Solving these problems is crucially important to further development of blockchain systems and to provide for them ongoing stability in complex contexts. Objective: Towards this goal, the current study proposes a comprehensive blockchain framework that incorporates these computational intelligence techniques and quantum-safe cryptography in an effort to address scalability, security, and efficiency issues. This research aims at solving practical problems and identifying the potential applications for blockchain in telecommunication and other fields. Methods: An evidence-based approach including detailed literature reviews, qualitative expert interviews, and simulation studies was adopted. Experimental conditions involved latency, throughput, energy, and scalability factors in order to assess single-photon detection. Telecommunications providers engaged in pilot tests to determine the practical usability of the system. Results: The improvement in the aspects of the system that was proposed were high improvements that were achieved as follows: 75% improvement in scalability, 25% improvement in latency, and the preferred quantum-resistant cryptography. Substantial gain in energy efficiency was estimated to be 40%, while field implementations ensured versatility of the system in the areas that differ from a city or even desert. Conclusion: These findings provide support to the proposition that blockchain systems hold the key to revolutionizing telecommunications. With that, the solution of the critical limitations of this research makes it the basis for further development to maintain blockchain technology secure, scalable, and sustainable in the quantum period.
۱۴.

The Future of Optical Fiber Networks for Speeding Up the Internet of Tomorrow(مقاله علمی وزارت علوم)

نویسنده:
منبع: پژوهشنامه پردازش و مدیریت اطلاعات دوره ۴۰ تابستان ۱۴۰۴ ویژه نامه انگلیسی ۴ (پیاپی ۱۲۵) 1371 - 1401

کلیدواژه‌ها: Optical fiber DWDM internet speed data transmission Scalability Bandwidth 5G IoT Cloud Computing Energy Efficiency

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تعداد بازدید : ۸ تعداد دانلود : ۴
Background: The availability of advanced digital technology and evolving need for high speed and low latency connections have put pressures on the existing optical fiber networks. New technologies like the Wavelength Division Multiplexing (WDM), Photonic Integrated Circuits (PICs), Mode Division Multiplexing (MDM) and Quantum Communication will be valuable towards the achievement of these demands. Objective: The study examines the capability, expansiveness, and cost-effectiveness of current and emerging optical fiber systems for the development of future Internet technology. The research also seeks to assess these formations to improve data transmission rates, network response time, secure and efficient networks’ solutions. Methods: This is a mixed methods study where both experimental and computational data were collected and analyzed accompanied by theoretical insight. The results that were compared included transmission rate, spectral efficiency, signal integrity and lifecycle costs. Specific work was done on multi-band WDM, PIC-based systems, optical QKD along with simulation studies on large scalable multi-core and mode-division architectures. Results: The article samples acknowledge improved network capabilities with increased transits per watt by 300% in multi-band WDM and reduction of latency levels by employing edge computing. The tested PIC-based systems were shown to be more efficient than the comparable existing systems and quantum communication proved to be reliable method for transmitting data over short to medium distances. Conclusion: Today, it can be stated that the advanced optical fiber technologies are of great value for the construction of high speed, large bandwidth and secure Internet connection. Their integration can reportedly conquer future connectivity issues but new development is required to come over the barriers of deployment and sustainability.
۱۵.

Trends and Challenges of Autonomous Drones in Enabling Resilient Telecommunication Networks(مقاله علمی وزارت علوم)

نویسنده:
منبع: پژوهشنامه پردازش و مدیریت اطلاعات دوره ۴۰ تابستان ۱۴۰۴ ویژه نامه انگلیسی ۴ (پیاپی ۱۲۵) 1403 - 1443

کلیدواژه‌ها: autonomous drones UAVs telecommunication networks trajectory optimization swarm coordination dynamic spectrum management (DSM) Machine Learning Energy Efficiency Network Scalability Disaster recovery

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تعداد بازدید : ۱۰ تعداد دانلود : ۱۱
Background: The advances in use of resilient telecommunication networks have shown the possible use of autonomous drones to support connectivity in unpredictable and complex terrains. Current network infrastructures have limitations in delivering optimized service in areas like traffic congestion, area of sparseness, disasters etc., which requires some form of innovation. Objective: The article is meant to propose a framework for using autonomous drones in practical telecommunication systems, with emphasis on the energy consumption, scalability, dependability, and flexibility of the solution for various situations. Methods: The study also uses other state-of-the-art approaches such as trajectory optimization, swarm coordination, dynamic spectrum management, and machine learning based resource allocation. Various slips were used on urban, rural, and disaster-sensitive scenarios to assess performance indices including energy input, network connectivity, signal strength, and lag time. The simulation results were supported by field experiments providing insights into various circumstances. Results: The simulation results of the actually proposed framework show network scalability enhancements, where coverage area involves up to 50 km² and power saving higher than 15%. The performance improvement included near perfect trajectory anticipation at a rate of 98%, while the utilization of resources was also optimized. Dynamic spectrum management was useful in reducing interference and increasing efficiency especially in areas of high density. Conclusion: The article promotes the use of UAV based telecommunication networks where challenging questions on scalability and reliability are raised and solved. Through the work presented, strong theoretical and empirical assumptions are made to foster concepts that will solidify next generation communication network.
۱۶.

Adaptive AI-Driven Network Slicing in 6G for Smart Cities: Enhancing Resource Management and Efficiency(مقاله علمی وزارت علوم)

نویسنده:
منبع: پژوهشنامه پردازش و مدیریت اطلاعات دوره ۴۰ تابستان ۱۴۰۴ ویژه نامه انگلیسی ۴ (پیاپی ۱۲۵) 1541 - 1573

کلیدواژه‌ها: 6G AI-driven network slicing smart cities Low-Latency Communication resource management Energy Efficiency

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Background: Smart city evolution is fast-paced, and imposes severe demands on telecom infrastructures: it must be highly flexible and scalable for coping with bursty traffic loads and heterogeneous service needs. Legacy network systems are not well suited to handle the changing requirements of smart city environments with autonomous cars, IoT, and public safety systems. Objective : The study to offer an AI-native network slicing framework for 6G smart city networks in order to improve dynamic resource control and management. The framework aims to enhance the delay, energy, and resource performance metrics which are significant for smart city services. Method: To facilitate the real-time network resource orchestration depending on the changing traffic requirements and user preferences, the authors consider moving target defense adapted artificial intelligence with a Deep Reinforcement Learning (DRL) model. Simulations were carried out to compare the AI-native model to conventional and AI-supported slicing methods. Results : Simulation results validate that the AI-native network slicing framework outperforms current 5G solutions with 25% reduction in latency and 20% increase in energy efficiency. Furthermore, the model's online resource allocation scheme can enhance the utilization efficiency of the bandwidth and the energy by 15% compared with the traditional approaches. Such improvements especially in critical applications like traffic management, emergency response, and health care would be important. Conclusion: The presented results demonstrate that AI-native network slicing is a viable, flexible, and scalable solution for 6G smart city networks. The framework is designed to support the future sustainable and high-performance requirements of urban infrastructures, providing both energy-efficient real-time adaptability. This study provides an overarching front-to-end outlook to address the management issues of sophisticated resource systems, and puts AI-native network slicing at the base level of the emerging smart cities.