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检索条件"任意字段=17th International Conference on COMmunication Systems and NETworkS, COMSNETS 2025"

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Physical Layer Security for Amplify-and-Forward Relay Aided Cognitive Radio networks 17

Physical Layer Security for Amplify-and-Forward Relay Aided ...

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17th international conference on communication systems and networks, comsnets 2025

作者： Goswami, Abhilash Rao, Shilpa Kashyap, Salil Indian Institute of Information Technology Department of Electronics and Communication Engineering Guwahati India Indian Institute of Technology Department of Electronics and Electrical Engineering Guwahati India

ISBN: (纸本)9798331531195

Wireless systems are susceptible to security attacks due to their broadcast nature. Physical layer security (PLS) technique, which exploits channel properties to secure wireless systems, is a promising alternative to traditional shared key based cryptographic methods. We deploy artificial noise (AN)-assisted PLS technique to secure messages from an eavesdropper (ES) in an instantaneous interference-constrained underlay relay-aided cognitive radio network (CRN). An amplify-and-forward (AF) relay, which is intercepted by an ES, forwards the message from the secondary source (SS) to secondary destination (SD). the transmit power of the SS and the relay are restricted by interference constraints of the primary network. We develop a PLS-integrated transmission protocol for the secondary network, wherein SD sends out AN simultaneously when SS transmits the message to the relay, to hinder interception. We determine secondary's performance using the intercept probability (IP), which is the probability that the SS-relay-ES channel capacity exceeds the difference between transmission and secrecy rates, and the outage probability (OP), which is the probability that the SS-SD channel capacity is less than a specific transmission rate. We derive expressions for OP and IP under Rayleigh fading conditions and validate our theoretical results through Monte Carlo simulations. Our results also show IP and OP variations with changes in secondary's transmit powers and primary's interference thresholds. We observe that as the interference threshold reduces and RY-SD channel gain reduces, IP increases. We note that IP is lower when SD transmits AN when compared to the scenario when SD does not transmit AN. © 2025 IEEE.

关键词： Rayleigh fading

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DataDRILL: Resilience Testbed for Industrial Cyber-physical systems 17

DataDRILL: Resilience Testbed for Industrial Cyber-physical ...

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17th international conference on communication systems and networks, comsnets 2025

作者： Arifeen, Murshedul Kotenko, Igor Petrovski, Andrei Hassard, Phil Robert Gordon University National Subsea Centre Aberdeen United Kingdom ITMO University Faculty of Secure Information Technologies St. Petersburg Russia Robert Gordon University Energy Transition Institute Aberdeen United Kingdom

ISBN: (纸本)9798331531195

Testbeds and datasets are essential tools used in experimental work, risk assessment and validation of industrial cyber-physical systems (CPS) with the capability of seamless automation and control. Due to complexity of real CPS and the criticality of their operation, practitioners are turning toward virtualisation technologies to create digital twins (DT) of vital industrial assets supporting production processes and critical infrastructures. To make DTs practically viable and usable, they need to support advanced sensing technologies that process operational data in real time and to enable the deployment of AI-based techniques for anomaly detection and effective process control. For achieving these goals, informative and relevant datasets are needed adapted or generated with the help of virtualised testbeds. this paper presents two datasets for building a testbed of industrial CPS - a drilling rig in particular. the ultimate goal of undertaken research is to analyse the effects of anomalous conditions on the operation of asset digital twins to better capture the safety event horizon, contributing thereby to CPS sustainability and predictive maintenance. © 2025 IEEE.

关键词： Predictive maintenance

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MARM-HyLiWi: Mobility-Aware Rate Maximization in Link Aggregation Enabled Hybrid Li-Fi/Wi-Fi networks 17

MARM-HyLiWi: Mobility-Aware Rate Maximization in Link Aggreg...

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17th international conference on communication systems and networks, comsnets 2025

作者： Paramita, Saswati Mondal, Rajorshi Bhattacharya, Arani Bohara, Vivek Ashok Srivastava, Anand Delhi Wirocomm Research Group Center of Excellence Li-Fi Department of Electronics and Communication Engineering New Delhi India IIIT Delhi Department of Computer Science and Engineering New Delhi India

ISBN: (纸本)9798331531195

Light Fidelity (Li-Fi) offers high data rates in confined areas but is limited by susceptibility to signal blockages and constrained coverage. To address these limitations, Li-Fi is often integrated with Wi-Fi in a heterogeneous network (HetNet), leveraging Li-Fi's speed with Wi-Fi's broader coverage. However, hybrid networks introduce frequent handovers between Li-Fi and Wi-Fi access points (APs), especially for users near blind spots or with limited mobility. this paper proposes a link aggregation (LA) approach for a Li-Fi and Wi-Fi HetNet (LA-HLWN), where users receive data from both types of APs simultaneously, enhancing data rates and reducing handover frequency. To manage network load effectively, we develop an algorithm for dynamic data rate allocation, formulated as a multi-dimensional commodity flow problem that considers factors such as user requirements, AP signal quality, and backhaul conditions. Given the NP-hard nature of this problem, our solution models it initially as an integer linear programming (ILP) challenge and then applies a relaxed linear programming (LPP) approach with a rounding technique for real-time allocation. Additionally, to balance throughput and reduce the computational overhead, we implement a strategy to control handover frequency and load distribution across APs, achieving a 54% improvement in throughput. this approach demonstrates the potential of LA in enhancing user satisfaction and system performance in hybrid Li-Fi/Wi-Fi networks. © 2025 IEEE.

关键词： Wireless local area networks (WLAN)

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A Lightweight QoS-Aware Resource Allocation Method for NR-V2X networks 17

A Lightweight QoS-Aware Resource Allocation Method for NR-V2...

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17th international conference on communication systems and networks, comsnets 2025

作者： Saxena, Chitranshi Mukherjee, Deb thakur, Krishna Pal Behera, Sadananda Palit, Basabdatta National Institute of Technology Department of Electronics and Communication Engineering Rourkela India CEWiT Chennai India

ISBN: (纸本)9798331531195

Vehicle-to-Everything (V2X) communication, which includes Vehicle-to-Infrastructure (V2I), Vehicle-to-Vehicle (V2V), and Vehicle-to-Pedestrian (V2P) networks, is gaining significant attention due to the rise of connected and autonomous vehicles. V2X systems require diverse Quality of Service (QoS) provisions, with V2V communication demanding stricter latency and reliability compared to V2I. the 5G New Radio-V2X (NR-V2X) standard addresses these needs using multi-numerology Orthogonal Frequency Division Multiple Access (OFDMA), which allows for flexible allocation of radio resources. However, V2I and V2V users sharing the same radio resources leads to interference, necessitating efficient power and resource allocation. In this work, we propose a novel resource allocation and sharing algorithm for 5G-based V2X systems. Our approach first groups Resource Blocks (RBs) into Resource Chunks (RCs) and allocates them to V2I users using the Gale-Shapley stable matching algorithm. Power is then allocated to RCs to facilitate efficient resource sharing between V2I and V2V users through a bisection search method. Finally, the Gale-Shapley algorithm is used to pair V2I and V2V users, maintaining low computational complexity while ensuring high performance. Simulation results demonstrate that our proposed Gale-Shapley Resource Allocation with Gale-Shapley Sharing (GSRAGS) achieves competitive performance with lower complexity compared to existing works while effectively meeting the QoS demands of V2X communication systems. © 2025 IEEE.

关键词： 5G mobile communication systems

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Robust Entropy-Based Detectors for Cooperative Wideband Compressive Spectrum Sensing under Laplacian Noise 17

Robust Entropy-Based Detectors for Cooperative Wideband Comp...

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17th international conference on communication systems and networks, comsnets 2025

作者： Bhavana, Bandaru Sabat, Samrat L. Namburu, Swetha Panigrahi, Trilochan CASEST University of Hyderabad Hyderabad India Data Scientist Weatherford International Mumbai India National Institute of Technology Dept. of ECE Goa India

ISBN: (纸本)9798331531195

In wideband compressive spectrum sensing within a cooperative cognitive radio network, each secondary user needs to recover the original signal from the compressed measurement. the recovery algorithms are computationally complex. To avoid this complexity, non-reconstruction-based spectrum sensing detectors have been suggested. Further, the sensing algorithms detection efficiency decreases in the non-Gaussian noise environments. Hence, we propose a non-reconstruction-based spectrum sensing algorithm in Gaussian and Laplacian noise models. this paper uses Parzen window Renyi entropy and maximum correntropy criterion (MCC) as test statistics for spectrum sensing in a non-Gaussian noise environment. Further, we employ median absolute deviation (MAD) statistical property to incorporate robustness against non-Gaussian noise. the detection performance is further improved using a centralized cooperative strategy using the weighted gain combining rule. Our simulations show that these robust sensing methods perform better under both Gaussian and Laplacian noise when detecting 5G multi-carrier signals like Universal Filtered Multi-Carrier (UFMC), outperforming non-robust alternatives. © 2025 IEEE.

关键词： Gaussian noise (electronic)

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IoT enabled Battery Monitoring System (BMS) for Industrial, Commercial and Home Applications 17

IoT enabled Battery Monitoring System (BMS) for Industrial, ...

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17th international conference on communication systems and networks, comsnets 2025

作者： Madane, Shubham Priyusha, K.R. Singh, Ashutosh Kumar, T Praveen Rathod, Vishal J. Nanda, Kaushik Pasupuleti, Hari Babu Sudarsan, S.D. Karnataka Bengaluru560100 India

ISBN: (纸本)9798331531195

Uninterruptible Power Supplies (UPS) supply power in the event of a failure, which is critical for stationary applications. Engineers, on the other hand, face challenges in sustaining peak efficiency batteries because maintenance must be done on a frequent basis. the most common solution is Battery Monitoring systems (BMS), which are primarily designed for industrial applications and may make it difficult to efficiently interpret battery data patterns without regular monitoring. Furthermore, battery technology will be evaluated, accelerating the evolution of the BMS from a simple monitoring unit to a multi-functional integrated one. To address these challenges, the goal of this paper is to design a robust Battery Monitoring System that uses the Internet of things (IoT) to make it smart and provide continuous service. this work contains IoT-enabled hardware that monitors current, voltage, temperature, state of charge, internal resistance, and remaining runtime of the battery. the performance of the proposed solution is rigorously verified in a real-time testbed installed at the office. In addition, this work includes a web application that allows customers to easily configure parameters and assures efficient battery monitoring. the results demonstrate precise measurement and functional state of the battery in a timely manner. the proposed method can be readily integrated into any existing industrial or commercial system to improve operational efficiency. © 2025 IEEE.

关键词： Battery management systems

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A Robust Framework for Online Fault Detection in Environmental Monitoring Using Pretrained Probabilistic Models 17

A Robust Framework for Online Fault Detection in Environment...

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17th international conference on communication systems and networks, comsnets 2025

作者： Dash, Ritwik Sagar, Kasturi Gyanaguna Jenamani, Mamata Indian Institute of Technology Industrial & Systems Engineering Kharagpur India

ISBN: (纸本)9798331531195

Accurate detection and classification of sensor faults are vital for maintaining the integrity and reliability of air quality monitoring systems, where faulty data can degrade decision-making and hinder timely environmental interventions. thus, early identification of such anomalies is critical for the deployment of fault-tolerant systems, specifically in environmental monitoring. the concept of pretrained probabilistic time series models is utilized to design a framework for online fault detection in the AQI(Air Quality Index) Monitoring applications. the framework tokenizes the multivariate sensor data through scaling and quantization into a fixed vocabulary and leverages transformer-based language model architectures trained via cross-entropy loss on these tokenized values. the performance of the proposed framework is also evaluated across a range of fault injection scenarios, testing its robustness and efficiency. the model consistently demonstrates strong fault detection capabilities, maintaining high accuracy and reliability even under varying levels of artificially induced sensor faults, further outperforming classical methods and specialized models for air quality monitoring. the evaluation results of the proposed method demonstrate a fault detection rate that exceeds 95% in all scenarios while effectively categorizing faults in data quality monitoring systems at the sensor node level. © 2025 IEEE.

关键词： Environmental monitoring

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Performance Evaluation of 5G Core Network Control-Plane Using Open5GS and Kubernetes 17

Performance Evaluation of 5G Core Network Control-Plane Usin...

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17th international conference on communication systems and networks, comsnets 2025

作者： Sooraj Subramanian, M.S. Kanagarathinam, Madhan Raj Sivalingam, Krishna M. Indian Institute of Technology Madras Department of Computer Science and Engineering Chennai India Samsung R&D Institute India Connectivity R&D Department Bangalore India

ISBN: (纸本)9798331531195

the 5G network's control-plane, a critical component of modern telecommunications infrastructure, manages the signaling and control functions that enable seamless connectivity and service delivery. this paper presents a comprehensive and in-depth performance evaluation of a 5G core network's control-plane deployed using Open5GS and Kubernetes. the study systematically examines critical performance metrics, including latency, throughput, and resource utilization, across various load conditions, providing a nuanced understanding of the network's behavior under stress. Using empirical data from a large-scale testbed simulating more than 50, 000 User Equipment (UE), this paper offers detailed insights into the performance characteristics, scalability, and resource efficiency of the 5G core *** addition to performance analysis, this work generates real-time packet traces from the large-scale experiment, which will be publicly available. these traces serve as a valuable resource for the broader research community, enabling further exploration and validation of the behaviors and performance of the 5G network. the findings of this study are particularly valuable for network operators, infrastructure providers, and researchers, as they offer critical guidance on optimizing 5G deployments. the results inform decisions about a sizing a Kubernetes cluster for 5G Core workload and which network functions (NFs) should be prioritized for scaling to meet the demands of next-generation mobile applications. © 2025 IEEE.

关键词： 5G mobile communication systems

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Performance Analysis of Resource Allocation Algorithms for Vehicle Platoons over 5G eV2X communication 17

Performance Analysis of Resource Allocation Algorithms for V...

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17th international conference on communication systems and networks, comsnets 2025

作者： Mandal, Gulabi Roy, Anik Palit, Basabdatta Indian Institute of Technology Department of Computer Science and Engineering Kharagpur India Indian Institute of Technology Advanced Technology Development Center Kharagpur India National Institute of Technology Department of Electronics and Communication Engineering Rourkela India

ISBN: (纸本)9798331531195

Vehicle platooning is a cooperative driving technology that can be supported by 5G enhanced Vehicle-to-Everything (eV2X) communication to improve road safety, traffic efficiency, and reduce fuel consumption. eV2X communication among the platoon vehicles involves the periodic transmission of Cooperative Awareness Messages (CAMs) containing vehicle information under strict latency and reliability requirements. these requirements can be maintained by administering the assignment of resources, in terms of time slots and frequency bands, for CAM transmission in a platoon, with the help of a resource allocation mechanism. State-of-the-art on control and communication design for vehicle platoons either consider a simplified platoon model with a detailed communication architecture or consider a simplified communication delay model with a detailed platoon control system. Departing from existing works, we have developed a comprehensive vehicle platoon communication and control framework using OMNET + +, the benchmarking network simulation tool. We have carried out an inclusive and comparative study of three different platoon Information Flow Topologies (IFTs), namely Car-to-Server, Multi-Hop, and One-Hop over 5G using the Predecessor-Leader Following platoon control law to arrive at the best-suited IFT for platooning. Secondly, for the best-suited 5G eV2X IFT, we have analyzed the performance of three different resource allocation algorithms, namely Maximum of Carrier to Interference Ratio (MaxC/I), Proportional Fair (PF), and Deficit Round Robin (DRR). Exhaustive system-level simulations show that the One-Hop information flow strategy along with the MaxC/I resource allocation yields the best Quality of Service (QoS) performance, in terms of latency, reliability, Age of Information (AoI), and throughput. © 2025 IEEE.

关键词： Vehicle to vehicle communications

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DACC-Comm: DNN-Powered Adaptive Compression and Flow Control for Robust communication in Network-Constrained Environment 17

DACC-Comm: DNN-Powered Adaptive Compression and Flow Control...

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17th international conference on communication systems and networks, comsnets 2025

作者： Dey, Emon Ravi, Anuradha Lewis, Jared Kumar, Vinay Krishna Freeman, Jade Gregory, Timothy Suri, Niranjan Busart, Carl Roy, Nirmalya University of Maryland United States DEVCOM Army Research Lab United States

ISBN: (纸本)9798331531195

Robust communication is vital for multi-agent robotic systems involving heterogeneous agents like Unmanned Aerial Vehicles (UAVs) and Unmanned Ground Vehicles (UGVs) operating in dynamic and contested environments. these agents often communicate to collaboratively execute critical tasks for perception awareness and are faced with different communication challenges: (a) the disparity in velocity between these agents results in rapidly changing distances, in turn affecting the physical channel parameters such as Received Signal Strength Indicator (RSSI), data rate (applicable for certain networks) and most importantly "reliable data transfer", (b) As these devices work in outdoor and network-deprived environments, they tend to use proprietary network technologies with low frequencies to communicate long range, which tremendously reduces the available bandwidth. this poses a challenge when sending large amounts of data for time-critical applications. To mitigate the above challenges, we propose DACC-Comm, an adaptive flow control and compression sensing framework to dynamically adjust the receiver window size and selectively sample the image pixels based on various network parameters such as latency, data rate, RSSI, and physiological factors such as the variation in movement speed between devices. DACC-Comm employs state-of-the-art DNN (TABNET) to optimize the payload and reduce the retransmissions in the network, in turn maintaining low latency. the multi-head transformer-based prediction model takes the network parameters and physiological factors as input and outputs (a) an optimal receiver window size for TCP, determining how many bytes can be sent without the sender waiting for an acknowledgment (ACK) from the receiver, (b) a compression ratio to sample a subset of pixels from an image. We propose a novel sampling strategy to select the image pixels, which are then encoded using a feature extractor. To optimize the amount of data sent across the network, the extr

关键词： Physiological models

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