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IEEE Internatonal conference on Mobile Adhoc and sensor Systems (MASS)

作者： Amina Fellan Ainur Daurembekova Hans D. Schotten Institute of Wireless Communication and Navigation Rheinland-Pfälzische Technische Universität Kaiserslautern-Landau (RPTU) Kaiserslautern Germany Intelligent Networks German Research Center for Artificial Intelligence (DFKI) Kaiserslautern Germany

The emerging fifth generation (5G) and the upcoming sixth generation (6G) communication technologies introduce the use of space- and airborne networks in their architectures under the scope of non-terrestrial networks (NTNs). With this integration of satellite and aerial platform networks, better coverage, network flexibility and easier deployment can be achieved. Correspondingly, satellite broadband internet providers have launched an increasing number of small satellites operating in low earth orbit (LEO). These recent developments imply an increased electromagnetic field (EMF) exposure to humans and the environment. In this work, we provide a short overview of the state of consumer-grade satellite networks including broadband satellites and future NTN services. We also consider the regulatory state governing their operation within the context of EMF exposure. Finally, we highlight the aspects that are relevant to the assessment of EMF exposure in relation to NTNs.

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next-generation Antenna Designs for Enhanced WSN Signal Propagation

Next-Generation Antenna Designs for Enhanced WSN Signal Prop...

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Innovations in High Speed communication and Signal Processing (IHCSP), International conference on

作者： V. Mathan Kumar Divya Sharma Mythili V Mohit Gupta Dimple Bahri Swati Bula Patil Department of Computer Science Karpagam Academy of Higher Education Coimbatore India Centre of Research Impact and Outcome Chitkara University Rajpura Punjab India Department of S&H Prince Shri Venkateshwara Padmavathy Engineering College Chennai India Chitkara Centre for Research and Development Chitkara University Himachal Pradesh India Department of Civil Engineering School of Engineering and Technology JAIN (Deemed to be University) Bangalore Karnataka India IT Vishwakarma Institute of Technology Pune India

ISBN: (数字)9798350368949

ISBN: (纸本)9798350368956

Using cutting-edge antenna design and signal processing, this study shows a new way to improve the spread of signals in Wireless sensor networks. Meta surface technology, adaptive beamforming, and cognitive radio are all parts of the WSN signal transmission optimization method. Cognitive spectrum sharing, metasurface-based beam steering, and adaptable beamforming are some of the most important ways. These mathematical models and formulas help the network figure out the direction of signals, find the best frequencies, and change the characteristics of antennas. In the part called "Findings," the suggested antenna design approach is put up against six other methods. Performance tests like SNR, disturbance reduction, and resource use show that the suggested method works better. It does a great job of SNR, reducing interference, and being flexible so that transmission can be reliable in tough WSN settings. The method's usefulness and effectiveness are shown by better use of resources. This study shows that plans for WSN antennas have a lot of potential. WSNs that are robust can talk to each other in changing environments thanks to adaptive beamforming, meta surface technology, and cognitive spectrum sharing.

关键词： Wireless sensor networks Beam steering Array signal processing Design methodology Heuristic algorithms Transmitting antennas Antennas next generation networking Surface treatment Signal to noise ratio

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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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Transfer Learning for Wireless networks: A Comprehensive Survey

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PROCEEDINGS OF THE IEEE 2022年第8期110卷 1073-1115页

作者： Nguyen, Cong T. Van Huynh, Nguyen Chu, Nam H. Saputra, Yuris Mulya Hoang, Dinh Thai Nguyen, Diep N. Pham, Quoc-Viet Niyato, Dusit Dutkiewicz, Eryk Hwang, Won-Joo Univ Technol Sydney Sch Elect & Data Engn Sydney NSW 2007 Australia Pusan Natl Univ Korean Southeast Ctr 4th Ind Revolut Leader Educ Busan 46241 South Korea Nanyang Technol Univ Sch Comp Sci & Engn Singapore 639798 Singapore Pusan Natl Univ Dept Biomed Convergence Engn Yangsan 50612 South Korea

With outstanding features, machine learning (ML) has become the backbone of numerous applications in wireless networks. However, the conventional ML approaches face many challenges in practical implementation, such as the lack of labeled data, the constantly changing wireless environments, the long training process, and the limited capacity of wireless devices. These challenges, if not addressed, can impede the effectiveness and applicability of ML in wireless networks. To address these problems, transfer learning (TL) has recently emerged to be a promising solution. The core idea of TL is to leverage and synthesize distilled knowledge from similar tasks and valuable experiences accumulated from the past to facilitate the learning of new problems. By doing so, TL techniques can reduce the dependence on labeled data, improve the learning speed, and enhance the ML methods' robustness to different wireless environments. This article aims to provide a comprehensive survey on the applications of TL in wireless networks. Particularly, we first provide an overview of TL, including formal definitions, classification, and various types of TL techniques. We then discuss diverse TL approaches proposed to address emerging issues in wireless networks. The issues include spectrum management, signal recognition, security, caching, localization, and human activity recognition, which are all important to next-generation networks, such as 5G and beyond. Finally, we highlight important challenges, open issues, and future research directions of TL in future wireless networks.

关键词： Wireless networks Task analysis Training communication system security Wireless sensor networks Transfer learning Training data 5G 6G caching cognitive radios localization and signal recognition machine learning (ML) security transfer learning (TL) wireless networks

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Gridless Parameter Estimation for Integrated Sensing and communications in Cellular networks

Gridless Parameter Estimation for Integrated Sensing and Com...

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IEEE International conference on Electronic Information and communication Technology (ICEICT)

作者： Mengguan Pan Yingsong Li Lixia Yang Anqi Xue Zhixiang Huang Guisheng Liao School of Electronic and Information Engineering Anhui University Hefei China

ISBN: (数字)9798350384437

ISBN: (纸本)9798350384444

Integrated sensing and communications (ISAC), positioned as a pivotal candidate technology for the next generation cellular mobile communications, can facilitate a broad spectrum of emerging applications. This paper focuses on studying the gridless target parameter estimation algorithm for ISAC, aimed at enhancing sensing ability and laying a solid foundation for precise environmental perception. Specifically, a novel search-free joint angle and delay estimation (JADE) method is introduced. We first formulate a gridless compressive sensing model with multiple spatial "snapshots", then derive an iterative solution for this atomic norm minimization (ANM) problem, and finally obtain angle and delay estimates via applying the two-dimensional matrix-pencil (MP) algorithm to ANM denoised signal. Numerical simulations are conducted in a typical cellular-signal-based ISAC scenario, demonstrating the superiority of this ANM-MP estimator to benchmark JADE algorithms. Particularly, when compared with the matrix-pencil approach, a reduction of 54% for the 90-th percentile error is achieved at the SNR of -10 dB.

关键词： Antenna measurements Wireless communication Wireless sensor networks Parameter estimation Receiving antennas Integrated sensing and communication Numerical simulation

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2022 33rd Irish Signals and Systems conference, ISSC 2022

2022 33rd Irish Signals and Systems Conference, ISSC 2022

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33rd Irish Signals and Systems conference, ISSC 2022

ISBN: (纸本)9781665452274

The proceedings contain 50 papers. The topics discussed include: fair skin lesion classification workflows using transfer learning;ML-based transmission loss estimation on surveillance radar channels;re-engineering of undergraduate analogue electronics laboratories during COVID-19;AI techniques to automatically detect standardized functional test patterns from wearable sensor data;host-based intrusion detection system for IoT using convolutional neural networks;automatic speech recognition for Irish: testing lexicons and language models;edge-enabled federated learning for vision based product quality inspection;smart optical beamforming for next generation wireless empowered communications, power transfer, sensing and displays: building on the past;frequency-centroid features for word recognition of non-native English speakers;and optimization for a PV network with partial control and communication loss using virtual loads.

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Multi-Link Operation and Wireless Digital Twin to Support Enhanced Roaming in next-Gen Wi-Fi

Multi-Link Operation and Wireless Digital Twin to Support En...

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IEEE International Workshop on Factory communication Systems (WFCS)

作者： Stefano Scanzio Matteo Rosani Gabriele Formis Dave Cavalcanti Valerio Frascolla Guido Marchetto Gianluca Cena National Research Council of Italy (CNR–IEIIT) Italy Politecnico di Torino Italy Intel Labs Intel Corporation Hillsboro OR USA Intel Labs Intel Deutschland Neubiberg Germany

ISBN: (数字)9798350319347

ISBN: (纸本)9798350319354

The next generation of Wi-Fi is meant to achieve ultra-high reliability for wireless communication. Several approaches are available to this extent, some of which are being considered for inclusion in standards specifications, including coordination of access points to reduce *** this paper, we propose a centralized architecture based on digital twins, called WiTwin, with the aim of supporting wireless stations in selecting the optimal association according to a set of parameters. Unlike prior works, we assume that Wi-Fi 7 features like multi-link operation (MLO) are available. Moreover, one of the main goals of this architecture is to preserve communication quality in the presence of mobility, by helping stations to perform reassociation at the right time and in the best way.

关键词： Wireless sensor networks Interference Production facilities Roaming Digital twins Reliability Proposals

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A Novel Energy Efficient sensor Data Encryption in Fog Based IoT networks

A Novel Energy Efficient Sensor Data Encryption in Fog Based...

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next generation Electronics (NEleX), International conference on

作者： Raja M Manicka Kumar S Manoj B Kiruba Department of Computer Science and Business Systems Sri Krishna College of Engineering and Technology Coimbatore India Department of Computer Science and Engineering KPR Institute of Engineering and Technology Coimbatore India Department of Artificial Intelligence and Data Science Sri Krishna College of Engineering and Technology Coimbatore India

Smart devices equipped with embedded systems, including CPUs, sensors, and communication hardware, utilize web connectivity to gather and relay data from their environment, forming a segment of the Internet of Things network. sensors in an IoT network are resource-constrained devices, but traditional data security techniques use complicated security mechanisms with long processing and reaction times, which reduce the network's overall lifespan. As a consequence, we proposed an EELWEP (energy efficient light weight encryption process) system to keep the data acquired by each sensor node private. When using this strategy, the secret key is exchanged using the Diffie-Hellman method using the Pretty Good Privacy (PGP) program, and a large portion of the operations is carried out via the use of symmetric cryptography. The energy usage and calculation time on the sensor network are significantly reduced as a result of this method. The suggested system is simulated, and their results are analysed using a variety of parameters in comparison to existing benchmark schemes. Comparing the suggested technique to the current approaches reveals that it outperforms the alternatives in the vast majority of situations studied.

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RF-Enabled Flexible and Printed Electronics: A Route to Sustainable Wireless sensors and Systems : Invited Paper

RF-Enabled Flexible and Printed Electronics: A Route to Sust...

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IEEE International conference on Flexible and Printable sensors and Systems (FLEPS)

作者： Mahmoud Wagih Green RF-Enabled Electronics Lab James Watt School of Engineering University of Glasgow

ISBN: (数字)9798350383263

ISBN: (纸本)9798350383270

This paper presents an overview of recent contributions to radio frequency (RF) or microwave-enabled, as opposed to RF-connected flexible electronics, as a route to enabling next-generation sustainable systems. First, RF-enabled means systems where RF technologies are not solely used for communication and connectivity. RF solutions for flexible and printable wireless power transfer (WPT) systems and rectennas are introduced, from 6.78 MHz to 40 GHz and micro-Watt to Watt-levels. Then, RF and antenna-based sensing solutions using soft, conformable, and functional materials are introduced, showing solutions based on advanced materials and sensing composites, as well as those exploiting natural material variations. Across the different case-studies highlighted, it is evident that flexible and printable RF electronics could not only match, but in some cases outperform, their conventional counterparts.

关键词： Radio frequency Wireless communication Wireless sensor networks Rectennas Wireless power transfer sensor systems sensors

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