CIoT-Net: a scalable cognitive IoT based smart city network architecture

With the advent of mobile cloud computing paradigm, mobile social networks (MSNs) have become attractive tools to share, publish and analyze data regarding everyday behavior of mobile users. Besides revealing information about social interactions between individuals, MSNs can assist smart city applications through crowdsensing services. In presence of malicious users who aim at misinformation through manipulation of their sensing data, trustworthiness arises as a crucial issue for the users who receive service from smart city applications. In this paper, the authors propose a new crowdsensing framework, namely Social Network Assisted Trustworthiness Assurance (SONATA) which aims at maximizing crowdsensing platform utility and minimizing the manipulation probability through vote-based trustworthiness analysis in dynamic social network architecture. SONATA adopts existing Sybil detection techniques to identify malicious users who aim at misinformation/disinformation at the crowdsensing platform. The authors present performance evaluation of SONATA under various crowdsensing scenarios in a smart city setting. Performance results show that SONATA improves crowdsensing utility under light and moderate arrival rates of sensing task requests when less than 7% of the users are malicious whereas crowdsensing utility is significantly improved under all task arrival rates if the ratio of malicious users to the entire population is at least 7%. Furthermore, under each scenario, manipulation ratio is close to zero under SONATA while trustworthiness unaware recruitment of social network users leads to a manipulation probability of 2.5% which cannot be tolerated in critical smart city applications such as disaster management or public safety.

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Fog Computing Framework for Smart City Design

International Journal of Interactive Mobile Technologies (iJIM) ◽

10.3991/ijim.v14i01.9762 ◽

2020 ◽

Vol 14 (01) ◽

pp. 109

Author(s):

Mais Haj Qasem ◽

Alaa Abu-Srhan ◽

Hutaf Natoureah ◽

Esra Alzaghoul

Keyword(s):

Cloud Computing ◽

Data Processing ◽

Real Time ◽

Smart City ◽

Network Architecture ◽

Data Exchange ◽

Fog Computing ◽

Computing Paradigm ◽

Network Usage ◽

The Cost

Fog-computing is a new network architecture and computing paradigm that uses user or near-users devices (network edge) to carry out some processing tasks. Accordingly, it extends the cloud computing with more flexibility the one found in the ubiquitous networks. A smart city based on the concept of fog-computing with flexible hierarchy is proposed in this paper. The aim of the proposed design is to overcome the limitations of the previous approaches, which depends on using various network architectures, such as cloud-computing, autonomic network architecture and ubiquitous network architecture. Accordingly, the proposed approach achieves a reduction of the latency of data processing and transmission with enabled real-time applications, distribute the processing tasks over edge devices in order to reduce the cost of data processing and allow collaborative data exchange among the applications of the smart city. The design is made up of five major layers, which can be increased or merged according to the amount of data processing and transmission in each application. The involved layers are connection layer, real-time processing layer, neighborhood linking layer, main-processing layer, data server layer. A case study of a novel smart public car parking, traveling and direction advisor is implemented using IFogSim and the results showed that reduce the delay of real-time application significantly, reduce the cost and network usage compared to the cloud-computing paradigm. Moreover, the proposed approach, although, it increases the scalability and reliability of the users’ access, it does not sacrifice much time, nor cost and network usage compared to fixed fog-computing design.

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On the Coronavirus (COVID-19) Outbreak and the Smart City Network: Universal Data Sharing Standards Coupled with Artificial Intelligence (AI) to Benefit Urban Health Monitoring and Management

Healthcare ◽

10.3390/healthcare8010046 ◽

2020 ◽

Vol 8 (1) ◽

pp. 46 ◽

Cited By ~ 70

Author(s):

Zaheer Allam ◽

David S. Jones

Keyword(s):

Artificial Intelligence ◽

Data Sharing ◽

Urban Health ◽

Health Monitoring ◽

Smart City ◽

Political Influence ◽

Health Data ◽

The Other ◽

City Network ◽

Global Understanding

As the Coronavirus (COVID-19) expands its impact from China, expanding its catchment into surrounding regions and other countries, increased national and international measures are being taken to contain the outbreak. The placing of entire cities in ‘lockdown’ directly affects urban economies on a multi-lateral level, including from social and economic standpoints. This is being emphasised as the outbreak gains ground in other countries, leading towards a global health emergency, and as global collaboration is sought in numerous quarters. However, while effective protocols in regard to the sharing of health data is emphasised, urban data, on the other hand, specifically relating to urban health and safe city concepts, is still viewed from a nationalist perspective as solely benefiting a nation’s economy and its economic and political influence. This perspective paper, written one month after detection and during the outbreak, surveys the virus outbreak from an urban standpoint and advances how smart city networks should work towards enhancing standardization protocols for increased data sharing in the event of outbreaks or disasters, leading to better global understanding and management of the same.

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Dynamic Network Model for Smart City Data-Loss Resilience Case Study: City-to-City Network for Crime Analytics

IEEE Access ◽

10.1109/access.2017.2757841 ◽

2017 ◽

Vol 5 ◽

pp. 20524-20535 ◽

Cited By ~ 10

Author(s):

Olivera Kotevska ◽

A. Gilad Kusne ◽

Daniel V. Samarov ◽

Ahmed Lbath ◽

Abdella Battou

Keyword(s):

Network Model ◽

Smart City ◽

Dynamic Network ◽

Data Loss ◽

Dynamic Network Model ◽

City Network

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‘The Electronic City, Smart Urban Growth and the Barriers against Realization of it in Iranian Cities’ [Case Study: Dezful City]

10.31219/osf.io/sdny3 ◽

2019 ◽

Author(s):

Sorush Niknamian

Keyword(s):

Smart City ◽

Smart Growth ◽

Growth Patterns ◽

Traffic Density ◽

Medium Size ◽

City Growth ◽

City Network ◽

Horizontal Expansion ◽

The Given

The ever-increasing expansion of cities, reduction of natural resources, traffic density and congestion are only some of destructive effects left by inadvertent growth of population and related irrational expansion on natural and cultural environments of the communities. Smart growth, is opposed to extensive city growth, emphasizes in city-dwelling and urbanism to create viable communities, proximity to nature and perseveration of open spaces and valuable lands, survival and revival of city center and restriction of suburban growth of city and reduction of reliance on personal vehicle etc. in order to decrease consequences and problems caused by horizontal city growth as mentioned above. The methodology of this study is of descriptive-analytical type and data collection was done by librarian and documentary technique. This study aims to review and recognize and interpret smart city growth patterns and to identify the existing barriers in Iranian cities and to explore status quo of Dezful city in terms of physical development and horizontal expansion of the given city and to determine rate of compliance of feature of this city to smart city growth patterns. The results of this investigation suggest that despite of having potential capacities to achieve growth of a smart city and lack of preparation of the suitable grounds for this ideal, Dezful city has been remarkably subject to horizontal expansion and it had very poor smart city network compared to the medium-size and developed cities of the world.

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Heterogeneity in IoT-based Smart Cities Designs

International Journal of Interactive Mobile Technologies (iJIM) ◽

10.3991/ijim.v13i12.9763 ◽

2019 ◽

Vol 13 (12) ◽

pp. 210

Author(s):

Mais Haj Qasem ◽

Wesam AlMobaideen

Keyword(s):

Smart City ◽

Network Architecture ◽

Smart Cities ◽

Public Health Care ◽

Different Types ◽

Efficient Resource ◽

Crowd Monitoring ◽

City Design ◽

Using Data ◽

Service Optimization

Smart city is a strategy of supporting new way of living using data that are collected from different types of electronic devices, analyzed and utilized to enable efficient resource usability and service optimization. Applications of various nature are elaborated in the smart cities, such as traffic planning applications, crowd monitoring, public health care, security, economy and urban planning. Thus, various requirements are needed to incorporate and facilitate efficient development of these applications in the smart city design. Accordingly, smart city can be distinguished via the requirements that support these applications. In this study, the requirements of smart city in relations to the involved applications and its influence on the smart city design are discussed. A list of smart city requirements is concluded and the potentials of various network architecture to facilitate such requirements are discussed. Based on the requirements and the architectures, the existing smart city designs are evaluated and compared.

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Smart City Network Security Evaluation System

10.1109/icitbs53129.2021.00070 ◽

2021 ◽

Author(s):

Qian He

Keyword(s):

Network Security ◽

Smart City ◽

Evaluation System ◽

Security Evaluation ◽

City Network

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Design and Implementation of a Mixed IoT LPWAN Network Architecture

Sensors ◽

10.3390/s19030675 ◽

2019 ◽

Vol 19 (3) ◽

pp. 675 ◽

Cited By ~ 6

Author(s):

Jesus Rubio-Aparicio ◽

Fernando Cerdan-Cartagena ◽

Juan Suardiaz-Muro ◽

Javier Ybarra-Moreno

Keyword(s):

Remote Monitoring ◽

Smart City ◽

Network Architecture ◽

The Internet ◽

Open Hardware ◽

Design And Implementation ◽

Real Environment ◽

Water Meter

IoT is much more than a large number of objects or customer devices connected to the Internet. IoT offers organizations many more opportunities than they can imagine. According to this, sooner or later they will probably choose to build their own IoT network. In this article, we review the technologies of IoT LPWAN Sigfox and LoRa. It can be considered the most important at present due to its ability to make the smart city possible. We also propose the development, deployment and implementation of a mixed IoT architecture LoRa-Sigfox composed of components based on open hardware and software. The architecture is evaluated in a real environment focused on remote monitoring of water meter devices.

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