The article considers the possibility of providing converged services when using traditional heterogeneous telecommunication networks and networks used on the battlefield. The management of heterogeneous telecommunica...
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Recently, in-vehicle networks have increasingly become one of the most important components in vehicles, es-pecially electric automobiles. Considering the high complexity and stringent reliability requirements of auto...
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ISBN:
(纸本)9798350362701
Recently, in-vehicle networks have increasingly become one of the most important components in vehicles, es-pecially electric automobiles. Considering the high complexity and stringent reliability requirements of automotive software and hardware, it is highly desirable to test new applications in an emulated environment before deploying them in real vehicles. This approach is advantageous for Original Equipment Manufacturers (OEMs), which can help them identify hidden problems and reduce costs. However, due to the heterogeneity of in-vehicle electronic control units (ECUs) and the diversity of protocols, the complexity of in-vehicle networks has increased rapidly. Consequently, the emulated environment for any single ECU can hardly meet all requirements. In this paper, we propose a vehicle-level emulation framework for in-vehicle networks, Systematic Automotive network Emulation (SANE), which integrates functionalities from the operating system layer to the network application layers, and is specifically designed for emulating and evaluating in-vehicle networked soft-ware services. Recognizing the complexity of in-vehicle network environments, we emphasize the scalability of the framework, ensuring it is easy to deploy and modify on a large scale. We present and analyze a series of experimental results with different configurations to identify the impacts of various factors, such as in-vehicle Electrical/Electronic (E/E) architecture, on networkperformance and the trade-offs between different quality of Service (QoS) strategies, while also confirming the framework's feasibility. To the best of our knowledge, our work is a pioneering effort to comprehensively consider the entirety of vehicle systems within an emulated network framework. SANE is the first of its kind to offer a detailed and adaptable emulation environment, specifically designed for in-vehicle networks. Through evaluations across various configurations, we also systematically quantify the influence of
In response to the challenges posed by the significant integration of distributed energy resources on distribution network reconfiguration, an improved particle swarm optimization algorithm is proposed in this paper. ...
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To optimize the controlperformance of fault riding through of photovoltaic converters, on the basis of the topology of two-level photovoltaic converter systems, and a model of photovoltaic converter systems is establ...
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In real-time Industrial internet of Things (IIoT), e.g., monitoring and control scenarios, the freshness of data is crucial to maintain the system functionality and stability. In this paper, we propose an AoI-Aware De...
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In this paper, an adaptive neural network sliding mode control (SMC) method based on Udwadia-Kalaba theory is proposed for the modeling and control of complex incomplete constrained electromechanical systems, such as ...
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In a world dominated by digital technology, the internet of Things (IoT) has occupied our daily lives beyond our knowledge. It has established an ecosystem that connects multiple systems to provide intelligent perform...
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This paper presents detailed analysis results of a model predictive control (MPC)-based coordinated voltage control demonstrated in a real low voltage network, the Chalmers campus in Sweden. First, the modeling of the...
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To solve the problems of weak classification of high dimensional images by traditional CNN network architecture and too large parameters of Transformer architecture model, an improved Mobilevit model method is propose...
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internet of Things networks grow in heterogeneity and complexity, the associated industry needs to improve the performance of traditional network deployments. One of the main relevant evolutions on network architectur...
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ISBN:
(纸本)9789811628771;9789811628764
internet of Things networks grow in heterogeneity and complexity, the associated industry needs to improve the performance of traditional network deployments. One of the main relevant evolutions on network architectures is depicted by the remote control of the forwarding state of the equipment. The advance here consists in having the data plane managed by a remotely controlled plane decoupled from the former, enabling to program the behavior of a network without being tied to inflexible rules and conditions. To support this network evolution, software-defined networking (SDN) allows programmability as the main role in improving resource efficiency and increasing service reliability and security. The analysis conducted in this paper aims at reviewing the different adoption strategies to effectively deploy SDN-enabled Next Generation IoT systems, analyzing in detail the variations found between the types of access network layers, and the SDN applications that can be carried out. The analysis ranges from basic deployments (where the concerns are specific to the direct connection end devices-network) to complex, multi-application advanced ones (where alternative configuration and layouts come into play). The paper concludes with the presentation of the approach taken in the project ASSIST-IoT, that will apply the previous knowledge toward the definition of a blueprint architecture for the Next Generation internet of Things.
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