IoT-based dynamic street light control for smart cities use cases

2016 ◽  
Author(s):  
Nabil Ouerhani ◽  
Nuria Pazos ◽  
Marco Aeberli ◽  
Michael Muller
Keyword(s):  
Smart Cities ◽  
Use Cases ◽  
Light Control

scholarly journals A REVIEW ON SMART CITIES BASED ON IOTTECHNOLOGY

2021 ◽  
Vol 6 (3) ◽  
Author(s):  
Dinesh Kumar Prajapat ◽  
Rahul Chopra
Keyword(s):  
Smart City ◽  
Smart Cities ◽  
Recent Time ◽  
Light Control ◽  
Traffic Light ◽  
Safety Issues ◽  
Smart Water ◽  
Water Supply Management ◽  
Traffic Light Control ◽  
The World

In an IOT based smart city various component like smart water supply management, traffic light control, street lightning system and many more systems are make a city to a smart city. In a smart city allthe necessary facilities such as transportation, water, energy and security etc. related issue can be solving in easy way and the community and people provide a healthy and safety environment. The world is moving forward at a fast with increasing technology in recent time. Thus, a lot of safety issues in all parts of world. So, in this paper mainly focus to provide a well deserved life of all the persons living in the cities. Generally the smart cities definition depends on geographical, environmental andeconomical.

Smart contracts for automated control system in Blockchain based smart cities

2021 ◽  
pp. 1-15
Author(s):  
Nihar Ranjan Pradhan ◽  
Akhilendra Pratap Singh
Keyword(s):  
Traffic Management ◽  
Smart Cities ◽  
Single Point ◽  
Use Cases ◽  
Smart Contracts ◽  
Monitoring And Control ◽  
Automated Control ◽  
Smart Healthcare ◽  
Building Monitoring ◽  
Share Data

Nowadays, smart applications are increasing day by day to improve the standard of living in smart cities. A modern-day smart city is characterized by the presence of numerous smart Information and Communication Technology (ICT)-enabled services such as automated healthcare, automatic building monitoring, home automation, smart parking, traffic management, data security, among others. Such cities employ multitudes of Internet of Things (IoT) devices to collect and share data between trusted users by means of a centralized intermediary for monitoring and control of the myriad automatic activities. However, a centralized intermediary is plagued by issues such as single point of failure, risk of data loss, man-in-the-middle attack, and so forth. Blockchain-based smart contracts for automated control in smart cities provide a decentralized and secure alternative. In this paper, an Ethereum based system design for decentralized applications in smart cities has been proposed that enables systems to share data without an intermediary between trusted and non-trusted stakeholders using Ethereum based self-executing contracts. Such contracts allow automated multi-step workflows for smart applications. Two use cases, have been considered namely smart healthcare and smart building monitoring, as proof of stake of the proposed Ethereum based contract. The performance of the proposed scheme for these use cases has been presented with Keccack 256 transaction hash, the total number of transactions, gas consumed by each contract. Such an attempt is a worthwhile addition to state of the art as evident from the results presented herein. The modeling simulation and analysis of hashing power shows that for hashing power greater than 55% the probability of double spending attack reaches to 42% maximum. So it is concluded that the probability of double spending increases with the increase of transaction values.

scholarly journals Conceptual Technological Framework for Smart Cities to Move towards Decentralized and User-Centric Architectures Using DLT

Smart Cities ◽  
2021 ◽  
Vol 4 (2) ◽  
pp. 728-745
Author(s):  
Victor Garcia-Font
Keyword(s):  
Conceptual Framework ◽  
Smart City ◽  
Urban Areas ◽  
Smart Cities ◽  
Use Cases ◽  
Distributed Ledger ◽  
Trust Models ◽  
User Centric ◽  
Integrate Data

Nowadays, many urban areas are developing projects that are included within the area of smart cities. These systems tend to be highly heterogeneous and involve a large number of different technologies and participants. In general, cities deploy systems to integrate data and to provide protocols to ease interconnectivity between different subsystems. However, this is not enough to build a completely interoperable smart city, where control fully belongs to city administrators and citizens. Currently, in most cases, subsystems tend to be deployed and operated by providers creating silos. Furthermore, citizens, who should be the center of these systems, are often relegated to being just another participant. In this article, we study how smart cities can move towards decentralized and user-centric systems relying on distributed ledger technologies (DLT). For this, we define a conceptual framework that describes the interaction between smart city components, their participants, and the DLT ecosystem. We analyze the trust models that are created between the participants in the most relevant use cases, and we study the suitability of the different DLT types.

scholarly journals Analyzing and Evaluating Smart Cities for IoT Based on Use Cases Using the Analytic Network Process

2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Chao Huang ◽  
Shah Nazir
Keyword(s):  
Smart City ◽  
Smart Cities ◽  
Information Leakage ◽  
Analytic Network Process ◽  
Use Cases ◽  
Security And Privacy ◽  
World Population ◽  
Network Process ◽  
Iot Devices ◽  
And Control

With the passage of time, the world population is growing. Proper utilization of resources and other devices is tremendously playing an important role to easily examine, manage, and control the resources of the Internet of Things (IoT) in the smart city. Research in the field of IoT has revolutionized the services mostly in smart cities. In the smart city, the applications of IoT are utilized without human involvement. Diverse IoT devices are connected with each other and communicate for different tasks. With the existence of a huge number of IoT devices in the forthcoming years, the chances of privacy breach and information leakage are increasing. Billions of devices connected on IoT producing huge volume of data bound to cloud for processing, management, and storage. Sending of whole data to the cloud might create risk of security and privacy. Various needs of the smart city should be considered for both urgent and effective solutions to support requirements of the growing population. On the other side of rising technology, the IoT evolution has massively produced diverse research directions for the smart city. Keeping in view the use cases of the smart city, the proposed study presents the analytic network process (ANP) for evaluating smart cities. The approach of ANP works well in the situation of complexity, and vagueness exists among the available alternatives. The experimental results of the planned approach show that the approach is effective for evaluating the smart cities for IoT based on the use cases.

scholarly journals SMART CITY DEVELOPMENT STRATEGY PROFILE: USE CASE MODELING BASED ON SIMPLICIAL COMPLEXES

2020 ◽  
Vol VI-4/W2-2020 ◽  
pp. 25-32
Author(s):  
Y. Berrou ◽  
E. Soulier ◽  
P. Calvez ◽  
B. Birregah ◽  
P. Vidal ◽  
...  
Keyword(s):  
Development Strategy ◽  
Smart City ◽  
Smart Cities ◽  
Simplicial Complexes ◽  
Use Cases ◽  
Use Case ◽  
City Development ◽  
Case Definitions ◽  
Strategic Development ◽  
Architecture Model

Abstract. According to three workshops organized as part of a study on public service delegation of data, use case definitions appeared to be a common issue for cities. To facilitate this step in city projects, one possibility is to define their profiles precisely and to compare these to their development strategies to highlight whether they are aligned, and eventually, to adjust the activities accordingly. In this context, a smart city profile model was developed based on the bibliometric analysis of smart cities in the work of (Mora and Deakin, 2019). Thereafter, a smart city model was developed based on the Smart Grid Architecture Model to aid in implementing the use cases, as presented in the work of (Gottschalk et al., 2017) and the IEC 62559-2 standard. Finally, four smart city profiles were identified and a profile characterization method was proposed using simplicial complexes. The results of the analysis of a smart city profile using this method enabled an in-depth understanding of the profile, which can aid cities in identifying new use cases to implement to be in line with their strategic development.

scholarly journals The Business Model Evaluation Tool for Smart Cities: Application to SmartSantander Use Cases

Energies ◽  
2017 ◽  
Vol 10 (3) ◽  
pp. 262 ◽  
Author(s):  
Raimundo Díaz-Díaz ◽  
Luis Muñoz ◽  
Daniel Pérez-González
Keyword(s):  
Business Model ◽  
Model Evaluation ◽  
Smart Cities ◽  
Use Cases ◽  
Evaluation Tool

A survey on blockchain-based platforms for IoT use-cases

2020 ◽  
Vol 35 ◽  
Author(s):  
Mohammad Jabed Morshed Chowdhury ◽  
Md Sadek Ferdous ◽  
Kamanashis Biswas ◽  
Niaz Chowdhury ◽  
Vallipuram Muthukkumarasamy
Keyword(s):  
Network Architecture ◽  
Smart Cities ◽  
Strong Support ◽  
Evaluation Framework ◽  
Use Cases ◽  
Innovative Technology ◽  
Collective Agreement ◽  
Clear Understanding ◽  
Full Potential ◽  
Iot Applications

Abstract The Internet of Things (IoT) has recently emerged as an innovative technology capable of empowering various areas such as healthcare, agriculture, smart cities, smart homes and supply chain with real-time and state-of-the-art sensing capabilities. Due to the underlying potential of this technology, it already saw exponential growth in a wide variety of use-cases in multiple application domains. As researchers around the globe continue to investigate its aptitudes, a collective agreement is that to get the best out of this technology and to harness its full potential, IoT needs to sit upon a flexible network architecture with strong support for security, privacy and trust. On the other hand, blockchain (BC) technology has recently come into prominence as a breakthrough technology with the potential to deliver some valuable properties such as resiliency, support for integrity, anonymity, decentralization and autonomous control. Several BC platforms are proposed that may be suitable for different use-cases, including IoT applications. In such, the possibility to integrate the IoT and BC technology is seen as a potential solution to address some crucial issues. However, to achieve this, there must be a clear understanding of the requirements of different IoT applications and the suitability of a BC platform for a particular application satisfying its underlying requirements. This paper aims to achieve this goal by describing an evaluation framework which can be utilized to select a suitable BC platform for a given IoT application.

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