A model to promote citizen driven government in a smart city: Use case at GDL smart city

Ceballos, Gonzalo R.; Larios, Victor M.

doi:10.1109/isc2.2016.7580873

Cited by 42 publications

(15 citation statements)

References 11 publications

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“…This paper presents a Smart Cities Oriented Project Planning and Evaluation (SCOPPE) methodology that combines the citizen participation and the MVP creation through adaptive project management. This methodology enhances the engagement of people, that is, citizens must be consulted, through interviews and survey, in which the objective is to know the real needs and generate processes, products, and services that meet these needs but also make the city a Smart City [12]. Moreover, a process to generate the Minimum Viable Product (see Reference [13]) is carried out in order to develop the technology according to citizen perception.…”

Section: Introductionmentioning

confidence: 99%

Smart Cities Oriented Project Planning and Evaluation Methodology Driven by Citizen Perception—IoT Smart Mobility Case

et al. 2020

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Smart Cities empower progress through technology integration directed with a strategic approach to sustainable development and citizen well-being. The creation of solid strategic planning boosts the development of infrastructure, innovation, and technology. However, the above can be compromised if citizens are not properly involved; therefore, it is relevant to enhance citizen participation when a new Smart City project appears on the horizon. This work presents a Smart Cities Oriented Project Planning and Evaluation (SCOPPE) Methodology that combines the citizen participation and the Minimum Viable Product creation through adaptive project management. Moreover, since the smart mobility projects represent the first step towards a Smart City, a case of study of an Intelligent Parking System (SEI-UVM) is presented following the SCOPPE Methodology. The application’s steps results lead us to key and useful information when defining, designing, and implementing the minimum viable product of the cornerstone device of the SEI-UVM: the Smart Vehicle Presence Sensor (SPIN-V). It is worthwhile to mention that the proposed SCOPPE Methodology could be extended to any Smart City project.

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Section: Introductionmentioning

confidence: 99%

Smart Cities Oriented Project Planning and Evaluation Methodology Driven by Citizen Perception—IoT Smart Mobility Case

et al. 2020

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“…Moreover, higher requirements of ultra-low latency, ultra-high efficiency, ultra-high reliability and ultra-high density connection have become essential issues in future vehicular communications [4]- [6]. So far, many novel application scenarios have put forward, including cognitive radio network [7], [8], augmented reality (AR), artificial intelligence (AI) applications [9], [10], smart city [11] and intelligent connected vehicles [12]. To achieve these requirements, the key technologies, such as Non-Orthogonal Multiple Access (NOMA), massive MIMO [13], MEC [14],…”

Section: Introductionmentioning

confidence: 99%

Optimization of Energy Consumption in the MEC-Assisted Multi-User FD-SWIPT System

Hua

Wen

et al. 2020

IEEE Access

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That alleviating the heavy computing task, improving spectral efficiency and prolonging battery lifetime have been the key design challenges in Internet of Things (IoT) and intelligent connected vehicles (ICV). This paper studies the optimization of communication, computation and energy resource to minimize the energy consumption in the mobile terminal, where some superior technologies are included, such as Full-Duplex (FD), Simultaneous Wireless Information and Power Transfer (SWIPT), Mobile-Edge Computing (MEC) and Multi-input Multi-output (MIMO). In this model, the MEC-assisted Base station (BS) works in FD mode, then it can transmit and receive signals in the same frequency and time. Moreover, the mobile devices offload some computation tasks to the BS and complete local computations at the same time. Besides, the mobile device harvests the energy from the BS to support its energy consumption. And, our target is to minimize the energy consumption of mobile devices. Since the problem is non-convex, we propose an iterative solving algorithm including a multi-step optimization. First, we obtain the closed-form solution of the CPU frequency. And then, we transform the remain problem into a convex one to solve it by the interior point algorithm. Finally, we obtain the approximate solution by multiple iterations. Simulation results show that the proposed algorithm is superior to the compared schemes. INDEX TERMS Mobile-edge computing, simultaneous wireless information and power transfer, multi-input multi-output, full-duplex, multi-step iteration, vehicular communications.

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“…Some prior works have presented methodologies to foster citizen participation in the development of the smart-city. For instance, in [9], the authors presented a methodology for citizens to evaluate urban services, that is a case study in a living lab as a micro city. Differently, the framework presented herein provides a means to define quantitative engagement metrics, that are specified by service developers.…”

Section: Introductionmentioning

confidence: 99%

Experimentation Management in the Co-Created Smart-City: Incentivization and Citizen Engagement

Choque

Díez

Medela

et al. 2019

Sensors

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Under the smart city paradigm, cities are changing at a rapid pace. In this context, it is necessary to develop tools that allow service providers to perform rapid deployments of novel solutions that can be validated by citizens. In this sense, the OrganiCity experimentation-as-a-service platform brings about a unique solution to experiment with new urban services in a co-creative way, among all the involved stakeholders. On top of this, it is also necessary to ensure that users are engaged in the experimentation process, so as to guarantee that the resulting services actually fulfill their needs. In this work, we present the engagement monitoring framework that has been developed within the OrganiCity platform. This framework permits the tailored definition of metrics according to the experiment characteristics and provides valuable information about how citizens react to service modifications and incentivization campaigns.

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A model to promote citizen driven government in a smart city: Use case at GDL smart city

Cited by 42 publications

References 11 publications

Smart Cities Oriented Project Planning and Evaluation Methodology Driven by Citizen Perception—IoT Smart Mobility Case

Smart Cities Oriented Project Planning and Evaluation Methodology Driven by Citizen Perception—IoT Smart Mobility Case

Optimization of Energy Consumption in the MEC-Assisted Multi-User FD-SWIPT System

Experimentation Management in the Co-Created Smart-City: Incentivization and Citizen Engagement

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