Using Statistical Methods and Co-Simulation to Evaluate ADS-Equipped Vehicle Trustworthiness

Halba, Khalid; Griffor, Edward; Kamongi, Patrick; Roth, Thomas

doi:10.1109/ev.2019.8892870

Cited by 3 publications

(2 citation statements)

References 5 publications

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“…These platforms compose simulations or prototypes for composite services and systems. Examples of these platforms include [136] [118], where a CPS representing an autonomous vehicle for safety assessment was simulated in UCEF using atomic components called federates that communicate using the pub-sub HLA protocol. Another example can be found in [64], where services and sensors can be fetched using REST APIs from Node-RED's web interface, which enables the simulation and prototyping of composite services.…”

Section: C) Simulation/prototyping Implementationsmentioning

confidence: 99%

“…a) Communication roles: This role is manifested in i) enabling a wide variety of services such as microservices (Vert.X's Axios, [140]) and pub/sub Java federates (HLA [136], [118]) to communicate and exchange data with composition engines to build composite services, or in [211], where smart connected IoT devices leverage the mashup paradigm to communicate and exchange data, leading to value-added services through compositions in WSNs. ii) facilitating the communication of heterogeneous IoT networks through transparent access (CoAP/HTTP, [160]); iii) enabling the discoverability of IoT devices capabilities (mDNS, [21]); iv) simplifying interfaces and enabling flexible network management (SDN, [27] [41]); v) acting as middleware between publish-subscribe brokers and services (MQTT, [122] [147]); and vi) offering commands that enable requesting, receiving, composing, and storing data by leveraging multiple network components (mPlane protocol, [12]).…”

Section: ) Aq8: What Roles Do Communication Protocols Play In Composi...mentioning

confidence: 99%

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IoT Capabilities Composition and Decomposition: A Systematic Review

et al. 2023

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As billions of IoT devices join the Internet, researchers and innovators increasingly explore IoT capabilities achieved via service composition or reuse of existing capabilities via service decomposition. Many systematic literature reviews (SLRs) were produced on this subject; however, two issues remain to be addressed: i) a reference taxonomy of the different aspects of IoT capabilities composition and decomposition is needed, and ii) many formal questions (e.g., standards role, formal representations applications, state-space explosion countermeasures, etc.), technical questions (e.g., composition process types and automation levels synergies, service decomposition categories, the role of AI/ML, etc.), and QoS questions (e.g., privacy, interoperability, and scalability challenges and solutions, etc.) remain unanswered. We introduce this work by discussing notions of IoT capabilities composition and decomposition in a layered IoT architecture while highlighting the strengths and weaknesses of existing SLRs. We identify unanswered questions through gaps in related work and motivate these questions using the PICOC methodology. We explain the search methodology and organize the topic questions using the proposed reference taxonomy. The identified research questions are answered, and trends and gaps that need additional attention from the research community are highlighted. This effort benefits city planners and end-users of IoT systems as it contributes to a better understanding of the role of composition and decomposition of IoT capabilities in building valueadded services or reusing existing ones for resource optimization. For researchers, this effort contributes a reference taxonomy for the topic and sheds light on important questions while highlighting corresponding trends and gaps requiring further attention.

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Section: C) Simulation/prototyping Implementationsmentioning

confidence: 99%

Section: ) Aq8: What Roles Do Communication Protocols Play In Composi...mentioning

confidence: 99%

IoT Capabilities Composition and Decomposition: A Systematic Review

et al. 2023

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A Framework for the Composition of IoT and CPS Capabilities

Halba

Griffor

Lbath

et al. 2021

2021 IEEE 45th Annual Computers, Software, and Applications Conference (COMPSAC)

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Review of Authentication, Blockchain, Driver ID Systems, Economic Aspects, and Communication Technologies in DWC for EVs in Smart Cities Applications

Rajamanickam,

Vishnuram,

Abraham

et al. 2024

Smart Cities

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The rapid advancement and adoption of electric vehicles (EVs) necessitate innovative solutions to address integration challenges in modern charging infrastructure. Dynamic wireless charging (DWC) is an innovative solution for powering electric vehicles (EVs) using multiple magnetic transmitters installed beneath the road and a receiver located on the underside of the EV. Dynamic charging offers a solution to the issue of range anxiety by allowing EVs to charge while in motion, thereby reducing the need for frequent stops. This manuscript reviews several pivotal areas critical to the future of EV DWC technology such as authentication techniques, blockchain applications, driver identification systems, economic aspects, and emerging communication technologies. Ensuring secure access to this charging infrastructure requires fast, lightweight authentication systems. Similarly, blockchain technology plays a critical role in enhancing the Internet of Vehicles (IoV) architecture by decentralizing and securing vehicular networks, thus improving privacy, security, and efficiency. Driver identification systems, crucial for EV safety and comfort, are analyzed. Additionally, the economic feasibility and impact of DWC are evaluated, providing essential insights into its potential effects on the EV ecosystem. The paper also emphasizes the need for quick and lightweight authentication systems to ensure secure access to DWC infrastructure and discusses how blockchain technology enhances the efficiency, security, and privacy of IoV networks. The importance of driver identification systems for comfort and safety is evaluated, and an economic study confirms the viability and potential benefits of DWC for the EV ecosystem.

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Using Statistical Methods and Co-Simulation to Evaluate ADS-Equipped Vehicle Trustworthiness

Cited by 3 publications

References 5 publications

IoT Capabilities Composition and Decomposition: A Systematic Review

IoT Capabilities Composition and Decomposition: A Systematic Review

A Framework for the Composition of IoT and CPS Capabilities

Review of Authentication, Blockchain, Driver ID Systems, Economic Aspects, and Communication Technologies in DWC for EVs in Smart Cities Applications

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