A Review of Smart Cities Based on the Internet of Things Concept

Talari, Saber; Shafie‐khah, Miadreza; Siano, Pierluigi; Loia, Vincenzo; Tommasetti, Aurelio; Catalão, João P.S.

doi:10.3390/en10040421

Cited by 469 publications

(255 citation statements)

References 56 publications

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“…So, this intelligence was facilitated managing the city health care, water consumption, and the weather systems, city security and to design better power distribution and power management solutions. 32,33 In those cities, EV demands efficient and intelligent charge scheduling techniques, in order to stabilize the source power and do not make perturbation on the electric grid. Various exposed works proved that scheduling in smart distribution systems helps minimize the operational costs by reducing electricity bills.…”

Section: Buildings Infrastructures and Electric Vehicle Relationshipmentioning

confidence: 99%

“…The possibility of interconnecting all of those devices and creating communication between them, make the city connected and intelligent; therefore, the nomination of the smart city appear. So, this intelligence was facilitated managing the city health care, water consumption, and the weather systems, city security and to design better power distribution and power management solutions …”

Section: Introductionmentioning

confidence: 99%

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Design and analysis of a novel power management approach, applied on a connected vehicle as V2V, V2B/I, and V2N

Aymen

Mahmoudi

2019

Int J Energy Res

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Summary The communication technologies were evolving rapidly and making everything connected. Peoples, vehicles, and buildings become connected everywhere. Concentrating on the targets that vehicle can be connected with, the present paper exposes a new power management approach applicable for three kinds of connected vehicles. Vehicle to buildings or infrastructure, vehicle to network, and vehicle to vehicle are the three communication protocols between vehicle and external targets. The proposed approach is designed for implementing all of these three communication cases. It is based on the principle of vehicle data sharing. Each vehicle will share a package of data, which contain information related to the vehicle status and the road condition. This information will be collected in a database and used for managing the power inside these cars. This approach is built on two stages; the first one is related to vehicles' classification, and the second one is attached to the recommendation, and this is according to the car position and according to the communication protocol case. The first stage was resolved using the support vector classification method. The second stage was treated using the artificial intelligence principle, and the neural network was employed. So the optimal decision will be outputted. According to the vehicle communication method, the optimal decision will be identified inside the building, infrastructure, vehicle, or the cloud database. This will be related to the vehicle position using the old vehicle's data. So the obtained decission will be transferred to the coming vehicle, for optimizing its energy consumption method in the corresponding area. Different possibilities and situations were discussed in this approach. The power management methodology was verified and confirmed. For showing the efficiency of this approach, a comparison of the obtained results in relation to the battery state of charge and the consumed energy results will be done. Matlab simulink was used for doing the necessary tests.

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Section: Buildings Infrastructures and Electric Vehicle Relationshipmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Design and analysis of a novel power management approach, applied on a connected vehicle as V2V, V2B/I, and V2N

Aymen

Mahmoudi

2019

Int J Energy Res

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“…Alongside public places monitoring, these systems facilitate detection of any violent act and the people involved, enable tracking people and objects, as well as alarming in case of any event of interest happens [43]. Also, the utilization of smart sensors, cameras, location-based applications and intelligent infrastructures significantly contributes to improving transport sector, making it secure and sustainable.…”

Section: Big Data Contribution In Making Cities Smarter and Sustainablementioning

confidence: 99%

The Role of Green Internet of Things (G-IoT) and Big Data in Making Cities Smarter, Safer and More Sustainable

Maksimović¹

2017

IJCDS

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Abstract:The world population growth and increased demands for limited goods consequently imply the necessity for more efficient use of materials and resources. As the novel advances in Information and Communication Technology (ICT) have totally revolutionized the numerous areas, their utilization at the same time possesses a negative influence on the human health and the environment. For that reason, the society is going toward the greener future where the usage of raw and non-renewable materials and resources will be reduced while energy consumption and pollution will be decreased. As ICT can be considered as a tool for addressing environmental problems, Green Internet of Things (G-IoT) takes one of the most important roles on the way to create a green and sustainable place for living. Big data analysis is essential in achieving valuable insights from voluminous and various GIoT generated data. The obtained knowledge enables easier decision-making, forecasting and other activities regarding smart city services, and in return contributes to a continuous improvement of G-IoT technologies. Hence, even the vision of smart and sustainable cities has already become a reality, the G-IoT approaches and insights achieved from Big data analysis will make cities significantly smarter, safer and more sustainable. This paper tries to summarize the role of novel technology advancements and Big data' achievements in the process of creating cities where the quality of life will be enhanced alongside reduced pollution and more efficient utilization of goods. It has been shown that G-IoT and Big data operating symbiotically successfully contribute to the fruition of smart and sustainable city vision.

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“…In the mean time, some viable encounters the whole way across the world and the key obstructions to its execution are completely communicated. [3] This paper introduces the requirement for coordination of Cloud and Internet of Things, a specialist arranged and Cloud helped on Cloud IoT worldview which in light of the layered reference engineering. Reference design for specialist situated vision and Cloudhelped is proposed, a Cloud based IoT worldview applications situation is depicted that have been exhibited in the writing, lastly recognized and examined about open issues and future bearings.…”

Section: ) Emergency Reactionmentioning

confidence: 99%

A Review on Smart Street Light System

Jambhulkar¹

2018

IJRASET

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Design of smart street light system using PIR and arduino is proposed. The system is smart enough to detect the person presence and turn on the light as per the object detect. Energy consumption is increases day by day which result increase the power generation. Most of the time street light is on for longer period with no use. To reduce the power consumption and knowing the log detatils of street light by use of Internet Of thing is studied. The microcontroller with sensor modules and Esp8266 are used for the hardware part.

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A Review of Smart Cities Based on the Internet of Things Concept

Cited by 469 publications

References 56 publications

Design and analysis of a novel power management approach, applied on a connected vehicle as V2V, V2B/I, and V2N

Design and analysis of a novel power management approach, applied on a connected vehicle as V2V, V2B/I, and V2N

The Role of Green Internet of Things (G-IoT) and Big Data in Making Cities Smarter, Safer and More Sustainable

A Review on Smart Street Light System

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