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

共 1281 条记录，以下是21-30 订阅

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TruChain: A Blockchain-based Access Control to Improve the Security of Smart Water Grid systems 17

TruChain: A Blockchain-based Access Control to Improve the S...

引用

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

作者： Mondal, Susmita Chakraborty, Suchetana Indian Institute of Technology Department of Computer Science and Engineering Jodhpur India

ISBN: (纸本)9798331531195

Water is a significant resource in day-to-day life, and it usually requires technological association for comprehensive management. Smart Water Grids (SWG) typically use cyberphysical systems (CPS) to monitor several parameters associated with water quality and distribution, leveraging the possibility of performing remote operations. For robust architecture, remote operations rely on application-specific sensors, communication networks, edge control, and cloud computation. Needless to say, the centralized control of edge and cloud infrastructure is prone to attacks and failures, such as unauthorized access or single-point-of-failure. We propose TruChain, a Blockchain-based access control mechanism to eliminate the probability of access takeover and aggregate quorum-based validation on sensory data for transparent provenance reliability. We also provide access revocation to strengthen security by restricting access to sensitive data stored in a privately distributed cloud. We believe our solution has empirical decentralization and a verifiable authorization method by maintaining a tamper-evident, auditable trail of interactive events, building trust without third-party intervention. © 2025 IEEE.

关键词： Cloud security

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Learning-Based Sensing Mode Selection for ISAC in Intelligent Transportation systems 17

Learning-Based Sensing Mode Selection for ISAC in Intelligen...

引用

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

作者： Sam, Roshan S. Dey, Abhinaba Ramanath, Sreenath Lekha Wireless Solutions Bangalore India

ISBN: (纸本)9798331531195

Intelligent Transportation systems (ITS) encompass a broad range of technologies and strategies that aim to provide innovative services relating to different modes of transport and traffic management and enable users to be better informed and make safer, more coordinated, and smarter use of transport networks. One of the main pillars of 6G technology, Integrated Sensing and communication (ISAC), integrates communication and sensing capabilities into a single system. ISAC can significantly enhance ITS by improving the way vehicles and infrastructure interact, leading to more efficient, safe, and sustainable transportation networks. Moreover, Unmanned Aerial Vehicles (UAVs) can provide aerial data to complement ground-based sensors in ITS, leading to more comprehensive traffic analyses. the synergy between UAVs, ITS and ISAC has the potential to create smarter, safer, and more efficient transportation networks. In ISAC systems, various sensing modes can be utilized to enhance the performance of both sensing and communication functions. Each mode has its specific applications, advantages, and limitations. In this work, we propose a learning based sensing mode selection for ISAC in ITS. By applying learning-based approaches to sensing mode selection in ISAC, ITS can enhance the operational effectiveness across diverse environments. © 2025 IEEE.

关键词： Unmanned aerial vehicles (UAV)

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Efficient Collision-Free Motion Planning in Distributed Multi-Robot systems 17

Efficient Collision-Free Motion Planning in Distributed Mult...

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

作者： Sharma, Om Chakraborty, Nilotpal India Institute of Information Technology Department of Computer Science and Engineering Assam Guwahati India

ISBN: (纸本)9798331531195

In distributed multi-robot systems, ensuring collision-free motion planning is a complex challenge, especially in dynamic environments where multiple robots are operating simultaneously. Traditional path-planning algorithms are effective for individual robot navigation but struggle when dealing with the unpredictable movements of other robots in the system. To overcome these limitations, this research focuses on advanced motion planning techniques that ensure safe and efficient robot coordination. We model the overall motion planning problem into a two-dimensional grid and our objective is to minimize both the time and the energy taken by the robots to reach their destinations from their respective sources. We enhance standard path-finding algorithms such as A∗ search, along with Deep Reinforcement Learning (DRL) with suitable modifications to adapt to real-time changes. DRL allows robots to learn from their environment and make optimal decisions, improving their ability to avoid collisions and navigate efficiently in uncertain conditions. By integrating these algorithms and conducting a comparative analysis, we propose a framework that enables robots to dynamically adjust their paths, ensuring collision-free movement and optimal coordination. © 2025 IEEE.

关键词： Robot programming

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Pilot-Enhanced RNN-Aided Channel Estimation for Vehicular communication 17

Pilot-Enhanced RNN-Aided Channel Estimation for Vehicular Co...

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

作者： Ul Haq, Syed Asrar Darak, Sumit J. IIIT-Delhi Electronics and Communications Department 110020 India

ISBN: (纸本)9798331531195

Accurate wireless channel estimation (CE) is essential for vehicular communication networks, where high mobility poses significant challenges. Deep Learning (DL) enhanced Data-pilot-aided (DPA) techniques improve CE by employing channel prediction through Recurrent Neural networks (RNNs) using past channel estimates. However, existing RNN-based CE methods rely solely on previous estimates, neglecting the useful information in current pilots. To address this limitation, we propose the Pilot-Enhanced RNN-Aided DPA (PERA-DPA) scheme, which integrates current and previous pilot estimates to better capture dynamic channel variations. Using a Gated Recurrent Unit (GRU) network, PERA-DPA achieves superior estimation accuracy in high-mobility environments. Simulations show that PERA-DPA outperforms GRU-DPA-TA with a 2 dB SNR gain at a BER of 10-4. Implementation on an ARM Cortex A9 processor demonstrates that this performance improvement comes at only a 4% increase in computational latency, making PERA-DPA a promising solution for channel estimation in vehicular systems under high-mobility conditions. © 2025 IEEE.

关键词： Channel estimation

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Regret-Optimal Policies for Rental Caches 17

Regret-Optimal Policies for Rental Caches

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

作者： Prakash, R. Sri Karamchandani, Nikhil Moharir, Sharayu IIITDM Kancheepuram India IIT Bombay India

ISBN: (纸本)9798331531195

We study the online caching problem in the setting where the service provider has access to a third-party rental cache that it can use via short-term contracts. the cost incurred to run this service is modelled as the sum of the rent cost incurred and the number of requests not served by the cache. We consider both stochastic and adversarial arrivals. Time is divided into slots, and in each time-slot, the algorithmic challenge is two-fold: (i) we first decide whether we want to rent the cache;and (ii) if we decide to rent, we determine which files to cache. We use regret to evaluate the performance of online caching policies with the optimal static caching policy as the benchmark. We propose a variant of the widely studied Follow the Perturbed Leader policy and show that it has order-optimal regret for both stochastic and adversarial arrivals. We supplement our analytical results with simulations using synthetic and trace-based request arrival sequences. © 2025 IEEE.

关键词： Stochastic systems

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Energy Harvesting in Multi-Hop UAV-Assisted FSO communication systems 17

Energy Harvesting in Multi-Hop UAV-Assisted FSO Communicatio...

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

作者： Sharma, Prashant Sarvani, Manda Swaminathan, R. Indian Institute of Technology Department of Electrical Engineering Indore India National Institute of Technology Department of Electronics and Communication Engineering Mizoram India

ISBN: (纸本)9798331531195

In this paper, we analyze the performance of a multi-hop unmanned aerial vehicle (UAV)-based free space optics (FSO) communication system over the recently introduced doubly inverted Gamma-Gamma (IGGG) turbulence channel model. the system assumes a decode-and-forward (DF) relaying strategy, enabling flexible deployment for line-of-sight (LoS) communication between UAVs and ground nodes. Linear energy harvesting techniques are employed at each relay to improve power efficiency. the channel modeling incorporates key impairments, including atmospheric turbulence, non-zero boresight pointing errors, path loss, and angle-of-arrival (AoA) fluctuations. We derive the closed-form expressions for the proposed system's probability density function (PDF), cumulative distribution function (CDF), outage probability, and ergodic capacity. In addition, the diversity gain and outage floor are calculated from the asymptotic analysis. the derived analytical expressions are validated through Monte-Carlo simulations, showing excellent agreement with numerical results. © 2025 IEEE.

关键词： Distribution functions

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Enhancing Sensor Perception: Integrating Multi-Sensor Data for Robust Sensor Perception 17

Enhancing Sensor Perception: Integrating Multi-Sensor Data f...

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

作者： Gupta, Kajal Singhal, Adit Kumar, Ajit Maji, Pallab Gahan AI Pvt Ltd. Bangalore India

ISBN: (纸本)9798331531195

this paper discusses a thorough method for integrating and synchronizing many sensors for autonomous driving and advanced driver assistance systems (ADAS). Our system's primary goals are the accurate placement of several sensors, data recording, inspection, and synchronization of various sensor types, including radar, cameras, IMU, and GNSS. We suggested an effective synchronization technique to align the data streams temporally, ensuring data integration and analysis consistency. this method improves environmental awareness and system integration, leading to progress in combining radar and camera technologies, improving data labeling, and enabling enhanced fusion of sensor data, which is essential for strengthening self-driving cars' effectiveness and security. © 2025 IEEE.

关键词： Advanced driver assistance systems

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Low-Complex Frame Synchronization in Narrowband OFDM systems 17

Low-Complex Frame Synchronization in Narrowband OFDM Systems

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

作者： Roy, Pankaj Kumar Sam, Roshan S. Kalkundrikar, Vishal Ramanath, Sreenath Lekha Wireless Solutions Bangalore India

ISBN: (纸本)9798331531195

Orthogonal Frequency Division Multiplexing (OFDM) is a widely used signal modulation technique that forms the backbone of technologies such as Long Term Evolution (LTE), 5G New Radio (NR), Wireless Local Area Network (WLAN), WiMAX, and others. Synchronization plays a crucial role in OFDM systems, as even small timing and frequency offset errors can lead to significant performance degradation. this paper presents a robust and efficient technique for estimating both timing and frequency offsets. the approach leverages a long preamble sequence distributed across multiple OFDM symbols in the frequency domain, where differential correlation is employed to detect the frame boundary. Subsequently, Sum of Squared Difference (SSD) is calculated to track the symbol boundary. Once the timing estimate is obtained, the same differential correlation values are applied to estimate the frequency offset. the proposed method demonstrates robust performance in detecting symbol boundaries, even in low Signal-to-Noise Ratios (SNR), moderate frequency offsets, and multipath conditions. © 2025 IEEE.

关键词： Frequency allocation

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A Cyber-Risk Management Schema for Classifying Literature on Advanced Persistent threats 17

A Cyber-Risk Management Schema for Classifying Literature on...

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

作者： Kumar, Rajesh Pandey, Swapnil Birla Institute of Technology and Science Department of Computer Science and Information Systems K K Birla Goa Campus Goa Pilani India

ISBN: (纸本)9798331531195

Advanced Persistent threats (APTs) are complex, multi-stage cyberattacks often backed by nation-states, targeting critical infrastructure with the potential to severely impact national economies. Due to their sophisticated tactics and high-stake implications, APTs are a prominent focus in both academic research and media. Multiple disciplines have contributed to APT research, offering various attack models, defense strategies, and mitigation techniques. However, the field lacks a systematic, cohesive classification framework, making it challenging for practitioners to identify the most relevant studies and methodologies for their needs. Addressing this gap, we propose a novel cyber-risk management schema for organizing scientific literature on APTs, structured to support a comprehensive understanding and application of APT-related knowledge. To demonstrate the schema's utility, we apply it to categorize the most frequently cited works in APT research, showcasing its effectiveness in systematizing diverse perspectives. We believe this work facilitates knowledge organization, empowering both researchers and practitioners in their fight against APTs. © 2025 IEEE.

关键词： Cyber attacks

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Demo: An RFSoC-Based Testbed for Over-the-Air Wireless Transceiver at Millimeter Wave Frequency 17

Demo: An RFSoC-Based Testbed for Over-the-Air Wireless Trans...

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

作者： Tekchandani, Jeet Mangal, Jai Darak, Sumit J. Ram, Shobha Sundar Indraprastha Institute of Information Technology Electronics & Communication Department Delhi110020 India

ISBN: (纸本)9798331531195

the millimeter wave (mmW) frequency spectrum has been explored recently for large bandwidth communication. At these frequencies, narrow directional beams are required for communication since the signal attenuation is high due to atmospheric absorption. this work presents an AMD RFSoC and Sivers Semiconductors analog front-end based hardware testbed capable of directional communication via analog beamforming at mmW. the proposed testbed comprises orthogonal frequency division multiplexing (OFDM) based baseband physical layer and digital front-end on an ARM processor and field programmable gate array (FPGA), respectively, integrated with high-speed data converters of the RFSoC. the RFSoC output at sub-6GHz is integrated with a mmW multi-antenna analog-front end for over-the-air communication at 29.8 GHz. We demonstrate end-to-end communication over the air and present bit error rate (BER) analysis in the presence of radio frequency impairments and beam misalignments in real radio channels. © 2025 IEEE.

关键词： Orthogonal frequency division multiplexing

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