L2-BiTCN-CNN: Spatio-temporal features fusion-based multi-classification model for various internet applications identification

Computer Networks, Год журнала: 2024, Номер 243, С. 110298 - 110298

Опубликована: Фев. 29, 2024

Язык: Английский

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SMITS: Social and Mobility aware Intelligent Task Scheduling in Vehicular Fog Computing — A Federated DRL Approach

Computer Communications, Год журнала: 2024, Номер 222, С. 13 - 25

Опубликована: Апрель 21, 2024

Язык: Английский

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Autonomous and Intelligent Mobile Multimedia Cyber-Physical System with Secured Heterogeneous IoT Network

Mobile Networks and Applications, Год журнала: 2024, Номер unknown

Опубликована: Май 14, 2024

Язык: Английский

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Simulation-Based Evaluation of V2X System with Variable Computational Infrastructure

Network, Год журнала: 2025, Номер 5(1), С. 4 - 4

Опубликована: Фев. 14, 2025

The issue of organizing efficient interaction between vehicle-to-everything (V2X) system elements has become increasingly critical in recent years. Utilizing V2X technology enables achieving the necessary balance safety, reducing load, and ensuring a high degree vehicle automation. This study aims to develop simulation for applications various element placement configurations conduct numerical analysis several schemes. research analyzes methods, including clustering, edge computing, fog aimed at minimizing losses. results demonstrate that each proposed model can be effectively implemented on mobile nodes. also provide insights into average expected request processing times, thereby enhancing organization system. authors propose distribution parameters resources diverse computational tasks, which is essential successful implementation utilization technology.

Язык: Английский

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Enhancing V2X Communication With Edge Computing for Real-Time Intelligent Transportation Systems

IGI Global eBooks, Год журнала: 2025, Номер unknown, С. 209 - 228

Опубликована: Апрель 4, 2025

This chapter explores the integration of Vehicle-to-Everything (V2X) communication with edge computing to enhance capabilities Intelligent Transportation Systems (ITS). It discusses technical architecture and advantages combining these two technologies, a focus on improving processing real time data, reducing latency, & optimizing decision making. The examines role in enabling faster response times more efficient within V2X environments, while also addressing challenges potential solutions associated this integration. Key ITS applications such as smart traffic management, autonomous driving, emergency systems are analyzed, highlighting how can drive advancements road safety, operational efficiency, environmental sustainability urban transportation.

Язык: Английский

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Age of Information Minimization in Vehicular Edge Computing Networks: A Mask-Assisted Hybrid PPO-Based Method

Network, Год журнала: 2025, Номер 5(2), С. 12 - 12

Опубликована: Апрель 14, 2025

With the widespread deployment of various emerging intelligent applications, information timeliness is crucial for decision-making in vehicular networks, where edge computing (VEC) has become an important paradigm to enhance capabilities by offloading tasks nodes. To promote VEC, optimization problem formulated minimize age (AoI) jointly optimizing task and subcarrier allocation. Due time-varying channel coupling continuous discrete variables, exhibits non-convexity, which difficult solve using traditional mathematical methods. efficiently tackle this challenge, we employ a hybrid proximal policy (HPPO)-based deep reinforcement learning (DRL) method designing mixed action space involving both variables. Moreover, masking mechanism designed filter out invalid actions caused limitations effective communication distance between vehicles. As result, mask-assisted HPPO (MHPPO) proposed integrating into HPPO. Simulation results show that MHPPO achieves approximately 28.9% reduction AoI compared with about 23% deterministic gradient (MDDPG).

Язык: Английский

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A Survey of Multi-Access Edge Computing and Vehicular Networking

IEEE Access, Год журнала: 2022, Номер 10, С. 123436 - 123451

Опубликована: Янв. 1, 2022

With the introduction of 5G and Internet Things, Multi-access Edge Computing (MEC) has become an evolving distributed compute storage capability at network edge. MEC will support task offloading, mobility, resource allocation, management inter-server communications to improve quality service satisfy real-time applications that require low latency. Thus, is regarded as a crucial provide computation edge extension more traditional cloud. By placing edge, broad range new services can be offered in close proximity users, including for vehicular networks. This paper provides current comprehensive review MEC-enabled It first introduces by providing definition, architecture, applications, challenges. The then investigates identifies research future

Язык: Английский

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Internet of Vehicles and Real-Time Optimization Algorithms: Concepts for Vehicle Networking in Smart Cities

Vehicles, Год журнала: 2022, Номер 4(4), С. 1223 - 1245

Опубликована: Ноя. 3, 2022

Achieving sustainable freight transport and citizens’ mobility operations in modern cities are becoming critical issues for many governments. By analyzing big data streams generated through IoT devices, city planners now have the possibility to optimize traffic patterns. combined with innovative concepts as well emerging modes (e.g., ridesharing carsharing) constitute a new paradigm optimized smart cities. Still, these highly dynamic scenarios, which also subject high uncertainty degree. Hence, factors such real-time optimization re-optimization of routes, stochastic travel times, evolving customers’ requirements status be considered. This paper discusses main challenges associated Internet Vehicles (IoV) vehicle networking identifies underlying problems that need solved real time, proposes an approach combine use IoV parallelization approaches. To this aim, agile distributed machine learning envisaged best candidate algorithms develop efficient systems.

Язык: Английский

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Distributed resource scheduling in edge computing: Problems, solutions, and opportunities

Computer Networks, Год журнала: 2022, Номер 219, С. 109430 - 109430

Опубликована: Ноя. 8, 2022

Язык: Английский

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A Comprehensive Survey on Software as a Service (SaaS) Transformation for the Automotive Systems

IEEE Access, Год журнала: 2023, Номер 11, С. 73688 - 73753

Опубликована: Янв. 1, 2023

Over the last few decades, automotive embedded Information and Communication Technology (ICT) systems have been used to enhance vehicle performance enrich people's driving experience, increasing panel of software features within them. However, even though until now automakers kept up with innovation pace in terms functionalities that offered passengers, majority automakers' efforts concentrated on bringing these new by adding an unceasingly larger set ECUs. All this has done without evolving any architecture consequently, due budgetary constraints, legislative limitations, retro-compatibility problems, a lack awareness trending IT innovation. This unbalanced progress then led substantial increase in-vehicle architectural complexity, which become major concern for nowadays as it makes repairing process more complex, decreases traceability clashes objective having higher business flexibility, modularity, dynamicity vehicles. In paper, we are going go through literature, both academic industrial, propose comprehensive study into system transformation. We begin giving detailed analysis causes evolution under five axes - i.e., society, business, industry, application, technical. Then, discuss convergence cars life cycles three-layered ICT consisting design, pipelines, run-time management. Finally, certain guidelines perspectives deriving from advances IT, well current future environmental constraints.

Язык: Английский

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