Cloud-Assisted Context-Aware Vehicular Cyber-Physical System for PHEVs in Smart Grid

Kumar, Neeraj; Singh, Mukesh; Zeadally, Sherali; Rodrigues, Joel J. P. C.; Rho, Seungmin

doi:10.1109/jsyst.2015.2437201

Cited by 22 publications

(7 citation statements)

References 40 publications

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“…Both non-profit and profit-driven scheduling processes are discussed and efficiently solved in [226]. When the computing tasks are distributed further at EVs as in [227], EVs can cooperate to perform computation tasks and disseminate information to nearby EVs. The approach of using EVs as edge nodes can effectively enhance the information process performance and mitigate energy shortage.…”

Section: Information Management For V2g Servicesmentioning

confidence: 99%

Energy and Information Management of Electric Vehicular Network: A Survey

Chen

Wang

Zhang

et al. 2020

IEEE Commun. Surv. Tutorials

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The connected vehicle paradigm empowers vehicles with the capability to communicate with neighboring vehicles and infrastructure, shifting the role of vehicles from a transportation tool to an intelligent service platform. Meanwhile, the transportation electrification pushes forward the electric vehicle (EV) commercialization to reduce the greenhouse gas emission by petroleum combustion. The unstoppable trends of connected vehicle and EVs transform the traditional vehicular system to an electric vehicular network (EVN), a clean, mobile, and safe system. However, due to the mobility and heterogeneity of the EVN, improper management of the network could result in charging overload and data congestion. Thus, energy and information management of the EVN should be carefully studied. In this paper, we provide a comprehensive survey on the deployment and management of EVN considering all three aspects of energy flow, data communication, and computation. We first introduce the management framework of EVN. Then, research works on the EV aggregator (AG) deployment are reviewed to provide energy and information infrastructure for the EVN. Based on the deployed AGs, we present the research work review on EV scheduling that includes both charging and vehicle-to-grid (V2G) scheduling. Moreover, related works on information communication and computing are surveyed under each scenario. Finally, we discuss open research issues in the EVN.

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Section: Information Management For V2g Servicesmentioning

confidence: 99%

Energy and Information Management of Electric Vehicular Network: A Survey

Chen

Wang

Zhang

et al. 2020

IEEE Commun. Surv. Tutorials

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“…Miao et al (2017) considers a method of coding the sensor outputs in order to detect stealthy false data injection attacks, and employ a coding matrix to change the original sensor outputs to increase the estimation residues under intelligent data injection attacks, and approve the conditions of a feasible coding matrix under the assumption that the attacker does not have knowledge of the exact coding matrix. Kumar et al (2017) proposed a new context-aware layered architecture for demand side management using vehicular cyber-physical system (VCPS) with cloud support. And used the concept of Bayesian coalition game and learning automata for an intelligent context-aware data collection and processing using anew payoff function for the players in the coalition game.…”

Section: Applications Of Cpsmentioning

confidence: 99%

Theoretical foundations and applications of cyber-physical systems: a literature review

Zhang

Hong

2019

LHT

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Purpose The purpose of this paper is to review the current research on theoretical foundations and applications for CPS from 2017 to 2019 including the applications in library. Design/methodology/approach This paper is designed in six parts as Introduction, Literature review, Theoretical foundations of CPS, Applications of CPS, CPS’s application in library and Conclusion. The authors review 70 papers and classify them as the above six parts. The authors collected 70 papers from 2017 to 2019 in the academic databases. Findings This paper reviews 70 papers regarding theoretical foundations and applications for CPS from 2017 to 2019 in the academic databases aiming to provide scholars and practitioners with a comprehensive overview. The contents of the papers in each research category are summarized from theoretical foundations and applications including the CPS applications in library. Originality/value A main contribution of this review paper is that it summarizes the current state-of-the-art theoretical foundations and applications for CPS and in libraries systematically.

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“…As indicated in [30], around 60% of the contributions on adaptive sys-tems use MAPE control loop for the adaptation; moreover, around 66% of the works that apply self-adaptation to cyber-physical systems address efficiency/performance applied to particular domains such as transportation (e.g. vehicular networks [37]), robot navigation [18], energy [36], or manufacturing [27]). [33] applies MAPE-K loop for performing efficient resource allocation (i.e., mostly memory and processor) applying different learning techniques that processed the systems' monitored data.…”

Section: Background and Related Workmentioning

confidence: 99%

Pragmatic cyber physical systems design based on parametric models

García-Valls

Pérez-Palacín

Mirandola

2018

Journal of Systems and Software

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The adaptive nature of cyber-physical systems (CPS) comes from the fact that they are deeply immersed in the physical environments that is inherently dynamic. CPS also have stringent requirements on real-time operation and safety that are fulfilled by rigorous model design and verification. In the realtime literature, adaptation is mostly limited to off-line modeling of predicted system transitions. In the adaptive systems literature, adaptation solutions are silent about timely execution and about the underlying hardware possibilities that can potentially speed up execution. This paper presents a solution for designing adaptive cyber-physical systems by using parametric models that are verified during the system execution (i.e., online), so that adaptation decisions are made based on the timing requirements of each particular adaptation event. Our approach allows the system to undergo timely adaptations that exploit the potential parallelism of the software and its execution over multicore processors. We exemplify the approach on a specific use case with autonomous vehicles communication, showing its applicability for situations that require time-bounded online adaptations.

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Cloud-Assisted Context-Aware Vehicular Cyber-Physical System for PHEVs in Smart Grid

Cited by 22 publications

References 40 publications

Energy and Information Management of Electric Vehicular Network: A Survey

Energy and Information Management of Electric Vehicular Network: A Survey

Theoretical foundations and applications of cyber-physical systems: a literature review

Pragmatic cyber physical systems design based on parametric models

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