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Extended Long Range Encrypted Wireless Mesh communication Without Cellular Network 5

Extended Long Range Encrypted Wireless Mesh Communication Wi...

5th IEEE international conference on advances in Electrical, computing, communication and Sustainable Technologies, ICAECT 2025

作者： Thakor, Naitik Panara, Harsh Jadav, Nisarg Parekh, Rutu Dhirubhai Ambani Institute of Information and Communication Technology Gujarat Gandhinagar India

ISBN: (纸本)9798350356236

This paper introduces an advanced communication system leveraging Long Range (LoRa) technology, customized for hilly terrains devoid of cellular network coverage, catering to specific military operational needs. The system facilitates long-range wireless communication transmitting, text, images and sensor data. The research demonstrates the efficacy of employing multi-hop communication, where in our case two repeaters are strategically positioned to extend the communication range. Insights into the data size-reliability trade-off in LoRa communication are provided. A robust algorithm has been developed to transmit images without loss of any packet in a multihop environment. Experimental tests have revealed a communication range of up to 10.5 km, when transmitting text packets ranging from 5 to 200 bytes. The range of RSSI is around -130 dBm to -142 dBm with an SNR of approximately - 20 dB to -50 dB. As the size of the data increases the time it takes for the information to reach its destination also increases. Nevertheless, our system demonstrates good efficiency in swiftly delivering 3 kb images within few minutes to the intended receiver with a data rate of 0.3 kilobytes per second. © 2025 IEEE.

关键词： Mobile telecommunication systems

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Leveraging Quantum communication with 6G Network: Optimize the Model for Secured communications 1

Leveraging Quantum Communication with 6G Network: Optimize t...

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1st international conference on advances in Computer Science, Electrical, Electronics, and communication Technologies, CE2CT 2025

作者： Kumar Gautam, Anupam Kumar Rajendran, Naveen Maharishi School of Engineering & Technology Maharishi University of Information Technology Uttar Pradesh India Faculty of Engineering and Technology Department of Aerospace Engineering Karnataka India

ISBN: (纸本)9798331518578

A broad-ranging consciousness-raising movement of mathematical ideas is dawning accompanying the onset of 6G science, that promises ubiquitous and flowing relations. Many visualize the inclusion of quantum computing (QC) into specific networks as a potential responsible for the complex computational and safety needs concerning this revolution. In light of 6G science, this paper delves further into the likely functions and results of QC. Totally classification of some (AP15) fault-finding QC uses in 6G science into four main classifications established in the literature review. Speaking accompanying experts engaged rooted these results even further;they uncovered best practices guide individual of the emphasize fault-finding applications. Researchers in addition to manufacturing experts alike grant permission to benefit from the research's judgments, which determine a firm basis for including the detracting uses of QC within 6G Wi-Fi electronics and profitable arrangements for implementing it. © 2025 IEEE.

关键词： Wireless local area networks (WLAN)

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Target Association of Heterogeneous Sensors Based on Attribute-Position Fusion 8th

Target Association of Heterogeneous Sensors Based on Attribu...

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8th international conference on information Science, communication and computing

作者： Xia, Qiuyin Shi, Limin Zou, Jiancheng Weng, Lubin North China Univ Technol Coll Sci Beijing 100144 Peoples R China Chinese Acad Sci Inst Automat Aerosp Informat Res Ctr Beijing 100190 Peoples R China

ISBN: (纸本)9789819617838;9789819617814;9789819617807

Associating targets detected by heterogeneous imaging sensors is a key issue in Target recognition based on multi-sensor image fusion. Traditional algorithms often use a single type of information from the image to calculate the cost matrix between sensor-detected targets, such as attribute information or position information. When multiple targets have similar information, these methods often lead to incorrect associations and are susceptible to sensor system errors and environmental factors. However, as technology advances, the information that sensors can detect is becoming more diverse and abundant. Thus, this paper proposes an algorithm that combines grey relational analysis based on target attribute information and DBSCAN clustering analysis based on position information. Using Dempster-Shafer evidence theory, the algorithm fuses the two types of information to achieve target association for heterogeneous imaging sensors. According to Monte Carlo simulation experiments using ships as targets, comparative experiments were conducted with grey relational analysis based on attribute information, bias mapping clustering based on position information, and the weighted bipartite graph optimal solution algorithm that uses both attribute and position information as features. The experimental results indicate that the algorithm proposed in this paper can overcome the limitations of single-information target association. It effectively mitigates the impacts of false alarms and positional distribution, thereby improving the accuracy of target association for heterogeneous imaging sensors.

关键词： Heterogeneous Imaging Sensors Target Association Attribute information Position information Grey Relational Analysis DBSCAN Dempster-Shafer Evidence Theory

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Scientometric analysis of ICT in vehicle route optimization: Practices and perspective

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EXPERT SYSTEMS WITH APPLICATIONS 2025年 281卷

作者： Sood, Kashvi Pooja Sood, Sandeep Kumar Indian Inst Technol Jammu Dept Civil Engn Jammu Jammu And Kashm India Natl Inst Technol Kurukshetra Dept Comp Applicat Kurukshetra Haryana India

Recent advances in information and communication technology (ICT) have enticed the attention of many researchers to revolutionize the transportation and logistics industries. The integration of ICTs with sustainable transportation infrastructure design and Vehicle Routing Problems (VRPs) has opened new avenues for innovative solutions to complex logistical challenges. This scientometric study investigates the evolution of ICT-assisted sustainable transportation infrastructure design and VRP research, drawing from a comprehensive analysis of literature indexed in the Scopus database between 2015 and 2024. The study examines key aspects such as publication trends, collaboration networks across countries, geographical distribution, and co-citation patterns of authors and documents within the relevant research categories. The findings reveal a strong emphasis on Artificial Intelligence (AI) and Machine Learning (ML) technologies as central to the development of the current knowledge domain. Moreover, the study identifies green network design, autonomous vehicles, disaster resilience, on-demand services, sustainable design, supply chain resilience, wireless communication, structural analysis, and smart grids, as pivotal themes shaping the future of sustainable transportation infrastructure design and VRPs. The analysis also highlights the growing role of international collaboration and interdisciplinary approaches, indicating a thriving research community focused on advancing the integration of ICT in transportation management systems.

关键词： Sustainable transportation Engineering optimization problems Public transportation systems Demand prediction Internet of Things Big data Cloud computing Quantum computing

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Enhancing trusted computing operation efficiency based on parallel file verification techniques 4

Enhancing trusted computing operation efficiency based on pa...

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4th international conference on Network communication and information Security, ICNCIS 2024

作者： Zhang, Zhilong Pan, Fengyan Hou, Haibo Li, Yuan Shanghai Jiaotong University Shanghai China Beijing Chenguang Rongxin Technology Co. Beijing China

ISBN: (数字)9781510688261

ISBN: (纸本)9781510688254

Trusted computing technology represents a significant element of cyber security systems, serving to guarantee the integrity and accessibility of data and systems. The incorporation of Trusted computing introduces a series of security detection and verification mechanisms to the host system, consequently impacting the performance of host system startup and application operation. In this paper, following an analysis of the verification mechanisms of Trusted computing, a parallel verification mechanism is proposed. The objective is to facilitate the parallel operation of the host system program and the TPM-based file verification process, thereby enhancing the operational efficiency of the trusted computing system. Through the configurable and micro-intervention design scheme, flexible expansion and configuration within the existing Trusted computing technology framework can be achieved. © 2025 SPIE.

关键词： computing systems Design Computer security Process control Systems modeling Mathematical optimization Operating systems

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Security Key Generation in SRAM based PUF for Cryptographic Applications 5

Security Key Generation in SRAM based PUF for Cryptographic ...

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5th IEEE international conference on advances in Electrical, computing, communication and Sustainable Technologies, ICAECT 2025

作者： Raikwal, Pushpa Gupta, Nipun Agarwal, Nikhil Maheshwari, Mahima Dayal, Neelam Pdpm Indian Institute of Information Technology Design and Manufacturing Department of Electronics and Communication Engineering Madhya Pradesh Jabalpur482005 India Pdpm Indian Institute of Information Technology Design and Manufacturing Department of Computer Science and Engineering Madhya Pradesh Jabalpur482005 India

ISBN: (纸本)9798350356236

This work meticulously focusses on SRAM designing and to verify its functionality as a PUF. It exploits the inherent manufacturing variations present in SRAM cells to generate unique start-up values, then utilizes them to producea cryptographic key. The design process induced mismatches in the inverters to enhance variability in the SRAM cells. Further this work focused on generating start-up values of SRAM based PUF in three methods: ideal state, practical state and by analyzing PUF Static Noise Margin (PSNM). Through these simulations, it is confirmed that the start-up values of the SRAM cells could be effectively utilized to generate a unique cryptographic key. All design and simulation tasks were conducted using Cadence Virtuoso, a sophisticated tool for integrated circuit design and verification at 90nm CMOS technology node. © 2025 IEEE.

关键词： CMOS integrated circuits

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5G to 6G Shaping and Effect of the Wireless Data Transmission 1

5G to 6G Shaping and Effect of the Wireless Data Transmissio...

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1st international conference on advances in Computer Science, Electrical, Electronics, and communication Technologies, CE2CT 2025

作者： Walia, Anita Das, Neeraj Department of CETT Karnataka Bangalore India Maharishi School of Engineering & Technology Maharishi University of Information Technology Uttar Pradesh India

ISBN: (纸本)9798331518578

Digital advancement and smart production have been made possible via artificial intelligence (AI) and computing in the cloud (CC) because of the fifth-generation wireless network (5G), which is a key enabler of the fourth industrial revolution. Nevertheless, beyond 5G (B5G) is seen as a watershed moment that will radically alter current worldwide tendencies in mobile phone practices and impact the lives of many. Physical and digital worlds will eventually merge, according to B5G. The focus of this research is on the future of technology for wireless communications, specifically the evolution from 5G into 6G. Still, mankind hasn't arrived to the age of instantaneous contact with aliens, lightning-fast internet, plus zero latency, despite a number of advancements. In order to accomplish these more elevated goals, this article investigates the potential obstacles and hurdles that the shift from 5G to 6G may encounter. The article lays out the plan for 6G, the enabling infrastructures, the problems, and the research that will lead to the realization of the 'technology for humanity' goal and improved assistance for the poor. © 2025 IEEE.

关键词： 5G mobile communication systems

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Secure and privacy-preserving federated learning-based resource allocation for next generation networks

Secure and privacy-preserving federated learning-based resou...

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international conference on Innovation and Technological advances for Sustainability, ITAS 2023

作者： Dandoush, Abdulhalim Gouissem, Ala Ciftler, Bekir Sait Division of Information Technology College of Computing and Information Technology University of Doha for Science and Technology Doha Qatar ESME Sduria/L2TI at Sorbonne University Paris Nord France Division of Data Science and Artificial Intelligence College of Computing and Information Technology University of Doha for Science and Technology Doha Qatar

ISBN: (纸本)9781032803722

This paper surveys recent research on federated learning-based resource allocation for next-generation networks in order to identify research gaps and potential future directions. We start by outlining the main challenges and requirements for secure and privacy-preserving resource allocation in these networks. The existing solutions and techniques proposed in the literature are then reviewed. The strengths and limitations of these solutions are analyzed, and trade-offs in terms of security, privacy, efficiency, and scalability are discussed. The research gaps and promising directions for future research are identified, such as integrating multiple solutions (e.g., game theory or optimization techniques with federated learning) and developing new models and algorithms for AI-based resource allocation that address specific challenges and requirements of next-generation networks. The goal is to inspire further research in this critical and rapidly evolving field. © 2025 The Author(s).

关键词： Federated learning

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Job Generator for Evaluating and Comparing Scheduling Algorithms for Modern GPU Clouds 15

Job Generator for Evaluating and Comparing Scheduling Algori...

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15th international conference on Cloud computing and Services Science, CLOSER 2025

作者： Konopa, Michal Fesl, Jan Beránek, Ladislav Department of Data Science and Computing Systems Faculty of Agriculture and Technology University of South Bohemia České Budějovice Czech Republic

ISBN: (纸本)9789897587474

The steep technological and performance advances in GPU cards have led to their increasing use in data centers in the recent years, especially in machine learning jobs. However, high hardware performance alone does not guarantee (sub) optimal utilization of computing resources, especially when the cost associated with power consumption also needs to be increasingly considered. As consequence of these realities, various job scheduling algorithms have been and are being developed to optimize the power consumption in data centers with respect to defined constraints. Unfortunately, there is still no known, widely used, parametrizable dataset that serves as a de facto standard for simulating scheduling algorithms and the resulting ability to compare their performance against each other. The goal of this paper is to describe a simple job set generator designed to run on modern GPU architectures and to introduce the newly created data set suitable for evaluation the scheduling algorithms. Copyright © 2025 by SCITEPRESS - Science and technology Publications, Lda.

关键词： Scheduling algorithms

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Optical reservoir computing based on the bagging trees 4

Optical reservoir computing based on the bagging trees

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4th international conference on Advanced Manufacturing technology and Electronic information, AMTEI 2024

作者： Xiao, Mujun Zhang, Ailing Wang, Chao Tianjin Key Laboratory of Thin Film Electronics and Communication Devices Engineering Research Center for Optoelectronic Devices and Communication Technology Ministry of Education School of Integrated Circuit Science and Engineering Tianjin University of Technology Tianjin300384 China School of Engineering and Digital Arts University of Kent Canterbury United Kingdom

ISBN: (数字)9781510688247

ISBN: (纸本)9781510688230

In traditional optical reservoir computing, the least squares method are commonly used to train the output weights for regression tasks. Although these algorithms are highly versatile, their training efficiency and accuracy are somewhat inferior compared to current algorithms. Bagging trees, an ensemble learning method, works by resampling the dataset to train multiple models and then combining the predictions of these models, thus improving the stability and accuracy of the final prediction. By combining optical reservoir computing with the bagging trees, both the prediction accuracy and training efficiency are greatly improved, with the highest R-squared prediction reaching 99.56%. © 2025 SPIE.

关键词： Prediction models

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