An Edge Cloud-Assisted CPSS Framework for Smart City

Wang, Puming; Yang, Laurence T.; Li, Jintao

doi:10.1109/mcc.2018.053711665

Cited by 41 publications

(12 citation statements)

References 12 publications

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“…The energy efficiency maximization problem was described as a nonlinear optimization problem, which was converted into a convex optimization problem by relaxation transformation method, and the optimal solution for user selection and power allocation was given. Wang et al [14] described the problem of energy consumption minimization as an optimization problem considering task relevance, and designed an efficient collaborative task computing offloading strategy to solve this problem. Li et al [15] used execution delay and task success rate as performance indexes to evaluate offloading strategy, and proposed a low-complexity dynamic offloading decision algorithm.…”

Section: Related Workmentioning

confidence: 99%

Energy-Efficient Task Offloading Based on Differential Evolution in Edge Computing System With Energy Harvesting

Sun

Song

et al. 2021

IEEE Access

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To optimize the energy efficiency of edge computing system with energy harvesting, this paper proposes an energy-efficient task offloading method optimized by differential evolution. First, a wireless edge computing network model is established to analyze the energy harvesting, task offloading and task calculation of the system, as well as the total number of calculated bits and total energy consumption of the system. Second, according to the total number of calculated bits and total energy consumption of the system, an objective function is established to optimize the energy efficiency of system, and a differential evolution based optimization method is proposed, with which the optimal energy efficiency of system calculation, offloading time, calculation time and frequency are obtained. Experimental results show that the proposed method can not only achieve better convergence effect, but also can effectively solve the energy shortage problem of the micro-equipment and extend the service life of the equipment.INDEX TERMS Edge computing, task offloading, energy harvesting, differential evolutionary algorithm.PENG ZENG received the Ph.D. degree in mechatronic engineering from the Graduate School of the

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Section: Related Workmentioning

confidence: 99%

Energy-Efficient Task Offloading Based on Differential Evolution in Edge Computing System With Energy Harvesting

Sun

Song

et al. 2021

IEEE Access

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“…Control and management problems arising in CPSS call for a diverse list of supporting technologies and approaches including but not limited to: cloud computing [34], tensor computation [35], linguistic dynamic systems and computing with words [36]- [37], and parallel learning [33].…”

Section: Literature Reviewmentioning

confidence: 99%

“…Others may implement economical analysis to highlight potential or deficiency of running an aggregator/DLT framework at community level as an accompaniment study to our work. • Health, safety, income and productivity effects [4] • Rural electrification policy [5] • Energy access [6] • Energy deprivation; energy & fuel poverty [7] • Special examination of energy poverty in EU [8] • Special examination of energy transition in Germany [9] • Energy poverty policies in EU [10] • Energy vulnerability [11] • Energy access & rural electrification [12] • Rural electrification; Empirical study [13] • Energy access & rural electrification [14] • Grid expansion [15] • Energy poverty & affordability [16] • Energy poverty & distributed generation [17] • Strategic challenges to global energy system [18] • Method development to measure the energy poverty [19] • Socio-technical systems & energy governance [20] • Energy efficiency [21] • Geographic interpretation of energy poverty [22] • Multi-dimensional energy poverty index [23] • Energy poverty negative effects [24] • Energy poverty negative effects; Indonesia case [25] • Energy poverty environmental effects [26] • Concept of pervasive spaces [27] • Intelligent transportation application [28] • Device-to-device application [29] • Urban sensing [30] • Layer-based design of the CPSS [31] • Component-based design of the CPSS [32] • Metamodel-based representation [33] • CPSS for micro-grid management [34] • CPSS & concept of smart cities; cloud application [35] • Tensor computation & big data [36] • Linguistic dynamic systems for CPSS [37]...…”

Section: Conclusion Limitations and Future Research Directionsmentioning

confidence: 99%

Novel Donation Sharing Mechanisms Under Smart Energy Cyber-Physical-Social System and DLT to Contend the Energy Poverty Problem

Cali

Çakır

2021

IEEE Access

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The objective of this study is to introduce a new use case under smart energy cyberphysical-social system (CPSS) that brings together the competence of distributed ledger technology (DLT) and essence of peer-to-peer local energy markets. This use case involves donation sharing under a DLTbased charity system to support financially-disadvantaged citizens in covering their residential energy requirements in an anonymous and effective manner, as a means to contend the notorious energy poverty problem. Essential architecture and processes for such a sharing concept are discussed by adopting a layer-based representation of the smart energy CPSS. Fundamental step-by-step interactions among its functional layers for realizing prospective social welfare benefits are illustrated. Based on this framework, two distinct donation sharing mechanisms that work under a DLT-empowered local market setting are proposed. Operation of these donation sharing mechanisms are illustrated on a local energy market with resorting to a sample daily energy profile and a series of hybrid scenarios. Effect of donation sharing on accounts of market participants and charity system are detailed.

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“…The development of AI and big data has greatly promoted the progress of urban public transportation. Plenty of traffic control strategies and AI algorithms have developed regarding big data and the growing need for real-time traffic information in ITS [25,26]. CPSS-UPTDN provides a novel approach to merge heterogeneous data and AI models for traffic prediction and resource dispatching.…”

Section: The Integration Of Ai and Big Data In Cpss-uptdnmentioning

confidence: 99%

Building Urban Public Traffic Dynamic Network Based on CPSS: An Integrated Approach of Big Data and AI

Xiong

et al. 2021

Applied Sciences

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The extensive proliferation of urban transit cards and smartphones has witnessed the feasibility of the collection of citywide travel behaviors and the estimation of traffic status in real-time. In this paper, an urban public traffic dynamic network based on the cyber-physical-social system (CPSS-UPTDN) is proposed as a universal framework for advanced public transportation systems, which can optimize the urban public transportation based on big data and AI methods. Firstly, we introduce three modules and two loops which composes of the novel framework. Then, the key technologies in CPSS-UPTDN are studied, especially collecting and analyzing traffic information by big data and AI methods, and a particular implementation of CPSS-UPTDN is discussed, namely the artificial system, computational experiments, and parallel execution (ACP) method. Finally, a case study is performed. The data sources include both traffic congestion data from physical space and cellular data from social space, which can improve the prediction performance for traffic status. Furthermore, the service quality of urban public transportation can be promoted by optimizing the bus dispatching based on the parallel execution in our framework.

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An Edge Cloud-Assisted CPSS Framework for Smart City

Cited by 41 publications

References 12 publications

Energy-Efficient Task Offloading Based on Differential Evolution in Edge Computing System With Energy Harvesting

Energy-Efficient Task Offloading Based on Differential Evolution in Edge Computing System With Energy Harvesting

Novel Donation Sharing Mechanisms Under Smart Energy Cyber-Physical-Social System and DLT to Contend the Energy Poverty Problem

Building Urban Public Traffic Dynamic Network Based on CPSS: An Integrated Approach of Big Data and AI

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