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检索条件"任意字段=Conference on Next-Generation Communication and Sensor Networks 2007"

共 1567 条记录，以下是11-20 订阅

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Using Monotonic Neural networks for Accurate and Efficient Passive Localization Performance Modeling

Using Monotonic Neural Networks for Accurate and Efficient P...

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IEEE conference on Wireless communications and Networking

作者： Hanyue Guo Rui Zhou Wenqiang Put Ming-Yi You JunKun Yan Hangzhou Institute of Technology Xidian University Hangzhou China Shenzhen Research Institute of Big Data The Chinese University of Hong Kong Shenzhen Shenzhen China National Key Laboratory of Electromagnetic Space Security Jiaxing China National Key Laboratory of Radar Signal Processing Xi'an China

ISBN: (数字)9798350368369

ISBN: (纸本)9798350368376

Integrated Sensing and communication (ISAC) systems are at the forefront of next-generation wireless technologies, enhancing high-precision target localization. Accurate prediction of localization performance is crucial for the design and optimization of these systems. Traditionally, the Cramer- Rao Lower Bound (CRLB) has been used as a theoretical benchmark for estimating localization errors, but it often does not reflect actual errors encountered in practice. The Monte Carlo simulation method, while accurate, is computationally intensive and less adaptable to varying parameters. To bridge this gap, we introduce LocNet-Mono, a novel approach based on monotonic neural networks, designed specifically for predicting localization errors. This approach maintains a consistent, monotonic relationship between input and output features, addressing the shortcomings of traditional methods. Our numerical experiments validate the high accuracy and efficiency of LocNet-Mono, confirming its potential as a superior tool for performance prediction in ISAC systems.

关键词： Location awareness Wireless communication Wireless sensor networks Monte Carlo methods Accuracy Neural networks Predictive models Integrated sensing and communication Numerical models Optimization

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next-generation Encryption Protocols for Enhanced Data Privacy in Network communications

Next-Generation Encryption Protocols for Enhanced Data Priva...

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Automation and Computation (AUTOCOM), International conference on

作者： M. Sugadev Shweta Singh Deepak Minhas Meenakshi Das Divya Sharma Batani Raghavendra Rao Department of Electronics and Communication Engineering Sathyabama Institute of Science and Technology Chennai Tamil Nadu India Maharishi School of Engineering & Technology Maharishi University of Information Technology Uttar Pradesh India Centre of Research Impact and Outcome Chitkara University Rajpura Punjab India Centre for Data Sciences Siksha ‘O’ Anusandhan (Deemed to be University) Bhubaneswar Odisha India Chitkara Centre for Research and Development Chitkara University Baddi Himachal Pradesh India School of Mangement - PG Management JAIN (Deemed to be University) Bangalore Karnataka

ISBN: (数字)9798331542375

ISBN: (纸本)9798331542382

Encryption protocols for next-gen data privacy protect sensitive information that could be relayed across various network communications. As more devices become connected and more data is transmitted, there has been an urgent requirement for improved data privacy. Legacy encryption protocols like SSL and TLS have fallen victim to attacks and no longer meet data privacy needs. These next-generation encryption protocols use enhanced encryption technologies and algorithms to ensure better security. These protocols utilize symmetric and asymmetric encryption algorithms to protect data from interception and decryption. But provide enhanced key management techniques to exchange between 2 entities if necessary. Azure News 1 More from Azure. They also offer forward secrecy, generating a new key for every single session so that if an attacker stole the packet some years ago, he could not decrypt it today. These protocols also provide better performance and scalability by lowering the cost of encryption and decryption. Systems provide multi-factor authentication so that only authorized users can access sensitive data.

关键词： Wireless communication Data privacy Wireless sensor networks Protocols Scalability Encryption Security Protection next generation networking Standards

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GCN-Integrated Multi-Agent Reinforcement Learning (MARL) with Modified Firefly Algorithm for Cross-Layer Optimization in Cognitive sensor networks

GCN-Integrated Multi-Agent Reinforcement Learning (MARL) wit...

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Integrated Circuits and communication Systems (ICICACS), IEEE International conference on

作者： Karthik Jakranpally Nagabathula Ramesh Babu Doddavarapu Sreenu Babu K. Rakesh Amit Barve Atmaram Shelke Valiant IT Services4000 Stanwick ave Sacramento CA Department of Electronics and Communication Engineering J.B. Institute of Engineering & Technology Hyderabad India Department of Electronics and Communication Engineering Bharatratna Indira Gandhi College of Engineering Solapur India Department of Electronics and Communication Engineering Malla Reddy Engineering College for Women Hyderabad India Department of Computer Science and Engineering Parul Institute of Technology Faculty of Engineering and Technology Parul University P.O.Limda Gujarat India Symbiosis Centre for Advanced Legal Studies and Research (SCALSAR) Symbiosis Law School Symbiosis International (Deemed University) Pune India

ISBN: (数字)9798331508456

ISBN: (纸本)9798331508463

CSN s are integrating cognitive abilities, making it challenging to achieve optimized cross-layer performance with limited resources. Non-coordinated techniques typically demonstrate lower proficiency in dynamic spectrum management and network synchronization. We introduce Graph Convolutional networks (GCN) and Multi-Agent Reinforcement Learning (MARL) in our architectural solution, with the help of the specially designed Firefly Algorithm. The framework implements a distributed learning process, utilizing GCN for local topology perception and MARL for cooperative spectrum and optimal routing decisions. The results of experimental analysis show large gains compared to traditional methods. The proposed model provided a 94.2% recognition rate in spectrum hole identification, an 89.7% enhancement in network throughput, and a 78.5% diminution in end-to-end delay. The energy efficiency surpasses baseline techniques by 67.3%, while the raw packet delivery reliability remains at 92.8%. Integrating GCN with MARL and the improved Firefly Algorithm can significantly improve cross-layer optimization, offering a promising solution for the next generation of sensor networks.

关键词： Cross layer design Graph convolutional networks Reinforcement learning Throughput Routing Topology Synchronization Reliability Optimization Radio spectrum management

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Low-Cost Bluetooth-Based Testbed for Wireless Connectivity Testing

Low-Cost Bluetooth-Based Testbed for Wireless Connectivity T...

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European conference on Antennas and Propagation, EuCAP

作者： Mateusz Groth Jakub Lecki Krzysztof Nyka Lukasz Kulas Department of Microwave and Antenna Engineering Faculty of Electronics Telecommunications and Informatics Gdansk University of Technology Gdansk Poland

ISBN: (数字)9788831299107

ISBN: (纸本)9798350366327

As wireless communication technologies and IoT networks expand, there is a growing need for cost-effective, flexible testbeds to evaluate new designs, algorithms, and hardware. Existing testing solutions are often expensive or are limited in scope, which opens up a gap for accessible tools that support diverse wireless experiments. This research addresses this need by developing a low-cost, multi-purpose testbed using Nordic NRF52840 dongles and Raspberry Pi Zero, capable of performing a wide range of tests. The testbed, arranged in a star topology with 36 controllable agents, collects key performance metrics such as Packet Error Rate (PER) and Received Signal Strength Indicator (RSSI) over time. Validation experiments demonstrated the system's effectiveness in measuring wireless performance under real-world conditions, including jamming. This testbed offers a scalable and affordable platform for wireless communication research, providing a valuable tool for academia and industry to develop next-generation wireless technologies.

关键词： Wireless communication Antenna measurements Wireless sensor networks Protocols Interference Frequency measurement Received signal strength indicator Jamming Testing Antenna radiation patterns

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High-Speed Moving Target communication Technology in Shallow Sea Based on Random-OTFS

High-Speed Moving Target Communication Technology in Shallow...

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sensors and Information Technology (ICSI), International conference on

作者： Danying Zhang Cheng He Fei Sun Oceanography College Jiangsu University of Science and Technology Zhenjiang China

ISBN: (数字)9798331542887

ISBN: (纸本)9798331542894

Orthogonal Time Frequency Space (OTFS) modulation is a new type of signal modulation method proposed in recent years. It aims to address the problem of communication quality degradation caused by Doppler frequency shift in the typical high-mobility and multipath transmission scenarios of next-generation wireless communication networks. For underwater acoustic communication in high-speed mobile environments, the Doppler effect is very significant and complex, including frequency spreading and frequency offset. Meanwhile, the bandwidth of underwater acoustic communication is usually narrow, and the OTFS modulation uses broadband signals. When there is a Doppler effect in the channel, it will inevitably have additional impacts. To solve the above problems, based on the traditional OTFS modulation technology, this paper proposes a Random-OTFS modulation technology that uses complex Gaussian random sequences as carrier signals and directly modulates information in the Doppler time-domain stretching region. This technology can resist relatively strong Doppler interference, reduce signal distortion, and better adapt to the rapid changes of underwater acoustic channels, with stronger adaptability to channel characteristics.

关键词： Wireless communication Time-frequency analysis Underwater communication Frequency modulation Resists sensor phenomena and characterization Doppler effect Underwater acoustics Time-domain analysis Random sequences

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Off-the-Shelf OFDM-ISAC System with Clustering Algorithm for Multipath Environments

Off-the-Shelf OFDM-ISAC System with Clustering Algorithm for...

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IEEE conference on Wireless communications and Networking

作者： Ha-Eun Lee Young-Seok Lee Bang Chul Jung Department of Artificial Intelligence Covergence Network Ajou University Suwon South Korea Department of Electrical and Computer Engineering Ajou University Suwon South Korea

ISBN: (数字)9798350368369

ISBN: (纸本)9798350368376

Recently, integrated sensing and communication (ISAC) techniques have gained significant attention due to their ability to simultaneously perform sensing, localization, and communication using shared wireless resources and signal waveforms, thereby enhancing spectral and cost efficiency. Orthogonal frequency division multiplexing (OFDM) is also expected to remain a key technology in next-generation mobile communication systems due to its robustness against multipath fading and its strong support for high data rates. Building on these points, we propose a novel orthogonal sequence (OS)- based OFDM-ISAC technique fully compatible with conventional OFDM-based communication systems. This technique intelligently exploits the autocorrelation properties of OSs and the spectral efficiency of index modulation while incorporating a clustering algorithm to address challenges in multipath environments. Extensive computer simulations verify that the proposed OFDM-ISAC system delivers reliable communication and localization performance in realistic multipath environments. even in the absence of a line-of-sight (LOS) link.

关键词： Location awareness Wireless communication Wireless sensor networks OFDM Computer simulation Modulation Line-of-sight propagation Clustering algorithms Integrated sensing and communication Indexes

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Hybrid Scheduler on Single-Mode Fiber and Multimode Fiber for Quantum-Classical Co-Transmission

Hybrid Scheduler on Single-Mode Fiber and Multimode Fiber fo...

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IEEE conference on Wireless communications and Networking

作者： Sonai Biswas Qian Zhang Hilal Sultan Duranoglu Tunc Juergen Czarske Riccardo Bassoli Frank H. P. Fitzek Deutsche Telekom Chair of Communication Networks Technische Universität Dresden Dresden Germany Quantum Communication Networks (QCNets) research group Technische Universität Dresden Dresden Germany Laboratory of Measurement and Sensor System Technique Technische Universität Dresden Centre for Tactile Internet with Human-in-the-Loop (CeTI) Cluster of Excellence Dresden Germany

ISBN: (数字)9798350368369

ISBN: (纸本)9798350368376

The application of hybrid scheduling for both conventional data transmission and quantum key distribution (QKD) in next-generation hybrid 6G networks is examined in this research. The study simulates transmission over Multimode Fiber (MMF), where QKD keys and classical packets are sent in parallel without a scheduler, and over Single-Mode Fiber (SMF) utilizing time-based and event-based scheduling protocols. Bit Error Rate (BER) and Packet Error Rate (PER) comparisons between the two protocols show improvements in latency and resource allocation efficiency achieved by the SMF scheduler. Concurrent transmission of classical and quantum offers the possibility of boosting data throughput. The effect of cross-talk coefficient on the accuracy of transmitted data is also elaborated. These findings highlight the necessity for customized methods in hybrid quantum-classical networks by shedding light on the performance and adaptability of scheduling techniques on SMF and the advantages of space division multiplexing on MMF. For MMF specifically it showcases noise resistance quantum data transmission.

关键词： Resistance Protocols Bit error rate Optical fiber networks Throughput Scheduling Quantum key distribution Data communication Space division multiplexing Resource management

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Energy Efficient Clustering in Wireless sensor networks Using Arithmetic Optimization Algorithm

Energy Efficient Clustering in Wireless Sensor Networks Usin...

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International conference on Inventive Computation Technologies (ICICT)

作者： N. Navaprakash Vutukuri Sarvani Duti Rekha Syed Azahad L. Jayanthi Arun Raj. S.R Balajee Maram Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences (SIMATS) Chennai Dept of ECE PVP Siddhartha Institute of Technology Methodist College of Engineering and Technology Hyderabad Department of Computer Science & Engineering Mahendra College of Engineering Salem Dept of Electronics & Communication Engineering University of BDT College of Engineering Devanagere Karnataka School of Computer Science and Artificial Intelligence SR University Ananthasagar Hasanparthy Warangal

ISBN: (数字)9798331512248

ISBN: (纸本)9798331512255

Clustering plays a crucial role in maximizing the lifetime of Wireless sensor networks (WSNs) by reducing energy consumption and ensuring reliable data transmission. This study evaluates the Adaptive Optimization Algorithm (AOA) against four widely accepted clustering methods—Genetic Algorithm (GA), Particle Swarm Optimization (PSO), Ant Colony Optimization (ACO), and the LEACH protocol-based on key performance metrics, including energy efficiency, cluster quality, convergence time, scalability, network lifetime, and throughput. The results indicate that AOA outperforms existing methods across most metrics, making it a promising solution for resource-constrained WSNs. AOA demonstrates faster convergence than GA and ACO, superior cluster quality, and better load balancing compared to PSO. Additionally, a weighted performance score highlights AOA as the optimal choice for dynamic and large-scale WSNs, paving the way for advanced energy-efficient clustering techniques in next-generation networks.

关键词： Wireless sensor networks Heuristic algorithms Scalability Clustering algorithms Energy efficiency Reliability Optimization Genetic algorithms Convergence Arithmetic

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A Fuzzy Based Approach for Managing Smart Edge-Enhanced IoT Devices in Mission-Critical Applications

A Fuzzy Based Approach for Managing Smart Edge-Enhanced IoT ...

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International conference on Intelligence in next generation networks (ICIN)

作者： Carol Habib Nathalie Mitton Inria France

ISBN: (数字)9798331542399

ISBN: (纸本)9798331542405

In the last decade, edge computing emerged as a paradigm allowing close-to-the-source processing. It brings multiple benefits for mission-critical applications especially that they cannot tolerate delays, downtime or failure. Particularly, in post-disaster management, where the network is scarce and access to the Internet might not be possible, edge servers can be embarked on the robots that are exploring the disaster area transforming them to edge-enhanced devices. When required, they run resource-intensive tasks and provide local decision-making to other constrained devices in the disaster area such as a Wireless sensor Network (WSN). The robots are battery-powered and are used for a mission-critical application where sensitivity and low tolerance for delays are crucial. Therefore, these edge-enhanced devices must be properly managed to meet the needs of the application. In this paper, a Fuzzy Inference System (FIS)-based approach is proposed enabling robots to decide, whenever a resource-intensive task must be executed, whether they can stop exploring the disaster area and act as edge servers. Six parameters reflecting the status of the network and the application are used by the FIS for the decision-making. Preliminary simulation results show that, in the proposed approach, the energy consumption in the network is 1.7 times less than the baseline network.

关键词： Fuzzy logic Wireless communication Wireless sensor networks Technological innovation Disasters Mission critical systems Decision making Robot sensing systems Delays Servers

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DFTs-OFDM Radar using Zadoff-Chu Sequence for Radar-communication Integration

DFTs-OFDM Radar using Zadoff-Chu Sequence for Radar-Communic...

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International conference on Computing, Networking and communications (ICNC)

作者： Masahiro Umehira Yoshihiko Takeuchi Faculty of Science and Technology Nanzan University Nagoya Japan

ISBN: (数字)9798331520960

ISBN: (纸本)9798331520977

Radar-communication integration is becoming a hot topic in next generation wireless communications such as Beyond 5G/6G and wireless LAN. As Orthogonal Frequency Division Multiplexing (OFDM) based approach has been widely used for broadband mobile wireless access, OFDM based approach is desirable to support sensing functions because of the commonality of signal processing, however the OFDM based approach has several drawbacks such as high PAPR. This paper proposes Discrete Fourier Transform spreading (DFTs)-OFDM radar using Zadoff-Chu (ZC) sequence, which is Constant Amplitude Zero Auto Correlation (CAZAC) sequence, which is suitable for radar applications, as a solution for radar-communication integration. This paper describes basic design issues such as signal format and signal processing on the proposed DFTs-OFDM radar using ZC sequence. It also shows preliminary correlation detection performance of the DFTs-OFDM radar using ZC sequence by computer simulations.

关键词： Wireless communication Wireless sensor networks Wireless LAN Computer simulation Radar detection Symbols Radar signal processing sensors Autocorrelation Signal resolution

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