scholarly journals Building Dynamic Communities of Interest for Internet of Things in Smart Cities

Sensors ◽  
2020 ◽  
Vol 20 (10) ◽  
pp. 2986 ◽  
Author(s):  
Monira N. Aldelaimi ◽  
M. Anwar Hossain ◽  
Mohammed F. Alhamid
Keyword(s):  
Internet Of Things ◽  
Smart Cities ◽  
Human Interactions ◽  
Embedded Sensing ◽  
Proposed Model ◽  
Share Data ◽  
Dynamic Communities ◽  
Social Entities ◽  
Dynamic Community

The Internet of things (IoT) is a growing area of research in the context of smart cities. It links a city’s physical objects that are equipped with embedded sensing, communicating, and computing technology. These objects possess the capability to connect and share data with minimal human intervention, which creates the potential to establish social relationships among them. However, it is challenging for an object to discover, communicate, and collaborate dynamically with other objects, such as social entities, and provide services to humans. This is due to the increase in the number of objects and the complexity in defining social-like relationships among them. The current research aims to address this by introducing an object architecture and defining a Dynamic Community of Interest Model (DCIM) for IoT objects. The proposed model will help IoT objects to socialize and build communities amongst themselves based on different criteria. In this approach, objects belonging to a community will collaborate with each other to collect, manipulate, and share interesting content and provide services to enhance the quality of human interactions in smart cities.

scholarly journals Mobile Networks and Internet of Things Infrastructures to Characterize Smart Human Mobility

Smart Cities ◽  
2021 ◽  
Vol 4 (2) ◽  
pp. 894-918
Author(s):  
Luís Rosa ◽  
Fábio Silva ◽  
Cesar Analide
Keyword(s):  
Internet Of Things ◽  
Mobile Networks ◽  
Smart Cities ◽  
Human Mobility ◽  
Rapid Development ◽  
Disruptive Technology ◽  
New Paradigm ◽  
Design And Optimization ◽  
High Level

The evolution of Mobile Networks and Internet of Things (IoT) architectures allows one to rethink the way smart cities infrastructures are designed and managed, and solve a number of problems in terms of human mobility. The territories that adopt the sensoring era can take advantage of this disruptive technology to improve the quality of mobility of their citizens and the rationalization of their resources. However, with this rapid development of smart terminals and infrastructures, as well as the proliferation of diversified applications, even current networks may not be able to completely meet quickly rising human mobility demands. Thus, they are facing many challenges and to cope with these challenges, different standards and projects have been proposed so far. Accordingly, Artificial Intelligence (AI) has been utilized as a new paradigm for the design and optimization of mobile networks with a high level of intelligence. The objective of this work is to identify and discuss the challenges of mobile networks, alongside IoT and AI, to characterize smart human mobility and to discuss some workable solutions to these challenges. Finally, based on this discussion, we propose paths for future smart human mobility researches.

Robust Networking: Dynamic Topology Evolution Learning for Internet of Things

2021 ◽  
Vol 17 (3) ◽  
pp. 1-23
Author(s):  
Ning Chen ◽  
Tie Qiu ◽  
Mahmoud Daneshmand ◽  
Dapeng Oliver Wu
Keyword(s):  
Internet Of Things ◽  
Smart Cities ◽  
Evolutionary Process ◽  
Small Error ◽  
Cyber Attacks ◽  
Communication Capacity ◽  
Error Ratio ◽  
The Internet Of Things ◽  
Evolution Learning

The Internet of Things (IoT) has been extensively deployed in smart cities. However, with the expanding scale of networking, the failure of some nodes in the network severely affects the communication capacity of IoT applications. Therefore, researchers pay attention to improving communication capacity caused by network failures for applications that require high quality of services (QoS). Furthermore, the robustness of network topology is an important metric to measure the network communication capacity and the ability to resist the cyber-attacks induced by some failed nodes. While some algorithms have been proposed to enhance the robustness of IoT topologies, they are characterized by large computation overhead, and lacking a lightweight topology optimization model. To address this problem, we first propose a novel robustness optimization using evolution learning (ROEL) with a neural network. ROEL dynamically optimizes the IoT topology and intelligently prospects the robust degree in the process of evolutionary optimization. The experimental results demonstrate that ROEL can represent the evolutionary process of IoT topologies, and the prediction accuracy of network robustness is satisfactory with a small error ratio. Our algorithm has a better tolerance capacity in terms of resistance to random attacks and malicious attacks compared with other algorithms.

Internet of Things Application for Intelligent Cities

2021 ◽  
pp. 251-270
Author(s):  
Wissam Abbass ◽  
Amine Baina ◽  
Mostafa Bellafkih
Keyword(s):  
Risk Assessment ◽  
Internet Of Things ◽  
Smart Cities ◽  
Security Risk ◽  
Privacy And Security ◽  
Security Risk Assessment ◽  
Key Aspects ◽  
Dynamic Services ◽  
The Internet Of Things

The rapid growth of the world's population is placing a huge strain on the existing infrastructures. As a quest for accommodating this growth, interest is turned to the internet of things (IoT). In fact, the IoT is significantly improving today's quality of life by innovating the provided services and enhancing communication and interaction. Furthermore, it has also empowered real-time decision making by introducing dynamic services for innovative traffic handling, energy-efficient infrastructure saving, and public safety ensuring. However, IoT applications for smart cities is still a major issue as it lacks assuring privacy and security within provided services. In this chapter, the authors pinpoint IoT's security risk assessment challenges and examine its critical influence on smart cities. Additionally, they highlight the key aspects characterizing a smart city which also represent the critical assets requiring security risk assessment. Moreover, they discuss the resulting issues and their related countermeasures.

A model for examining the role of the Internet of Things in the development of e-business

2019 ◽  
Vol 50 (1) ◽  
pp. 20-33 ◽  
Author(s):  
Babak Esmaeilpour Ghouchani ◽  
Susan Jodaki ◽  
Maryam Joudaki ◽  
Alireza Balali ◽  
Lila Rajabion
Keyword(s):  
Internet Of Things ◽  
Operating Cost ◽  
The Internet ◽  
Content Type ◽  
Proposed Model ◽  
It Knowledge ◽  
The Internet Of Things ◽  
Security Of Iot

Purpose Nowadays, the Internet of Things (IoT) offers new intelligent services and business model opportunities by extending the internet connectivity into physical devices and daily objects. Recently, this technology has had a deep impact on all the aspects of human societies from industry to management and business. Therefore, the purpose of this paper is to predict the impact of using IoT services on the development of electronic business (e-business). Design/methodology/approach For evaluating the model’s elements, a questionnaire was designed. It was revised by experts with significant experiences. For statistical analysis, SmartPLS 3.2 is used. Findings The findings have confirmed the validity of the proposed model. The results also have indicated that the quality of IoT services (scalability, availability, reliability and ease of use), security of IoT services (trust, reputation, privacy and encryption) and IT knowledge of users (usage skills, awareness, experience and accuracy) have a positive and significant impact on development of e-business. Furthermore, the obtained results have revealed that the operating cost of IoT services (transmission time, storage capacity, functionality and stability) is significantly influenced by the development of e-business. Research limitations/implications By capturing a number of important factors in the proposed model, this study can provide a significant theoretical influence for researchers in the related area of interest. In fact, this study provides a worthwhile direction by assessing e-business performance, which, so far, has not been well assessed in many developing countries. Practical implications From a practical perspective, the statistical results support the crucial role of the following factors: quality of IoT services, the security of IoT services, operating cost of IoT services and IT knowledge of users. Hence, aspects relating to these factors must be the focus of attention of any organization in their endeavor to development of e-business. Originality/value This study meaningfully contributes to the knowledge and literature by focusing more on development e-business and IoT as original technology for further understanding, investigating other important features and applying advanced statistical analyses technique. By doing so, this study was able to develop the current understanding regarding the main aspects of development e-business and IoT services.

scholarly journals Edge-enabled Mobile Crowdsensing to Support Effective Rewarding for Data Collection in Pandemic Events

2021 ◽  
Vol 19 (3) ◽  
Author(s):  
Luca Foschini ◽  
Giuseppe Martuscelli ◽  
Rebecca Montanari ◽  
Michele Solimando
Keyword(s):  
Information And Communication Technologies ◽  
Smart Cities ◽  
Communication Technologies ◽  
Smart Devices ◽  
Mobile Crowdsensing ◽  
Share Data ◽  
Information And Communication ◽  
Emergency Scenarios ◽  
The City

AbstractSmart cities use Information and Communication Technologies (ICT) to enrich existing public services and to improve citizens’ quality of life. In this scenario, Mobile CrowdSensing (MCS) has become, in the last few years, one of the most prominent paradigms for urban sensing. MCS allow people roaming around with their smart devices to collectively sense, gather, and share data, thus leveraging the possibility to capture the pulse of the city. That can be very helpful in emergency scenarios, such as the COVID-19 pandemic, that require to track the movement of a high number of people to avoid risky situations, such as the formation of crowds. In fact, using mobility traces gathered via MCS, it is possible to detect crowded places and suggest people safer routes/places. In this work, we propose an edge-anabled mobile crowdsensing platform, called ParticipAct, that exploits edge nodes to compute possible dangerous crowd situations and a federated blockchain network to store reward states. Edge nodes are aware of all critical situation in their range and can warn the smartphone client with a smart push notification service that avoids firing too many messages by adapting the warning frequency according to the transport and the specific subarea in which clients are located.

scholarly journals Devising Digital Twins DNA Paradigm for Modeling ISO-Based City Services

Sensors ◽  
2021 ◽  
Vol 21 (4) ◽  
pp. 1047
Author(s):  
Hawazin Faiz Badawi ◽  
Fedwa Laamarti ◽  
Abdulmotaleb El Saddik
Keyword(s):  
Dna Sequences ◽  
Smart Cities ◽  
Ground Truth ◽  
International Standards ◽  
Quebec City ◽  
Digital Twins ◽  
Alignment Tool ◽  
Proposed Model ◽  
Dna Alignment

Digital twins (DTs) technology has recently gained attention within the research community due to its potential to help build sustainable smart cities. However, there is a gap in the literature: currently no unified model for city services has been proposed that can guarantee interoperability across cities, capture each city’s unique characteristics, and act as a base for modeling digital twins. This research aims to fill that gap. In this work, we propose the DT-DNA model in which we design a city services digital twin, with the goal of reflecting the real state of development of a city’s services towards enhancing its citizens’ quality of life (QoL). As it was designed using ISO 37120, one of the leading international standards for city services, the model guarantees interoperability and allows for easy comparison of services within and across cities. In order to test our model, we built DT-DNA sequences of services in both Quebec City and Boston and then used a DNA alignment tool to determine the matching percentage between them. Results show that the DT-DNA sequences of services in both cities are 46.5% identical. Ground truth comparisons show a similar result, which provides a preliminary proof-of-concept for the applicability of the proposed model and framework. These results also imply that one city performs better than the other. Therefore, we propose an algorithm to compare cities based on the proposed DT-DNA and, using Boston and Quebec City as a case study, demonstrate that Boston has better services towards enhancing QoL for its citizens.

scholarly journals Survey on Mobile Edge Computing for Internet of Things System

2020 ◽  
Author(s):  
Keerthivasan K ◽  
Shibu S
Keyword(s):  
Internet Of Things ◽  
Customer Value ◽  
Service Sector ◽  
Service Providers ◽  
Smart Cities ◽  
Big Data Analytics ◽  
Advanced Technology ◽  
Main Role ◽  
Detailed Review

IOT is the latest advanced technology. To help the customer value, it is the backbone of both service sector and product area businesses. In 5G technology, internet of things is a main role to play in future. It is used to support the intelligent, big data analytics and lots of application such as health care, smart cities and industrial. Advancement of 5G technology will recognize MECfor future of cloud computing. MEC is used to provide multiple application such as service providers, mobile subscribers, enterprises and other vertical segments. MEC technology provides low latency and quality of services [QOS].It distributes the network uniformly with strong mobility supports. In this paper a detailed review of MEC technology for IoT application is discussed.

scholarly journals Smart cities in collaboration with the internet of things

2020 ◽  
Vol 14 (2) ◽  
pp. 185-195
Author(s):  
Ricardo Alirio González Bustamante ◽  
Roberto Ferro Escobar ◽  
Harold Vacca González
Keyword(s):  
Internet Of Things ◽  
Daily Life ◽  
Smart Cities ◽  
Personal Life ◽  
The Internet ◽  
Advantages And Disadvantages ◽  
The World ◽  
Use Of The Internet ◽  
The Internet Of Things

The use of the Internet has Reached a point in the world in Which it has Become essential in everyday life, the need to Have information at hand in the shortest possible time has generated a technological revolution That incurs the constant connection to this tool, from our Personal life to the same objects That we use in daily life, creating a need to check what surrounds us to Improve our quality of life, reason for the birth of the Internet of Things (IoT, for acronym in English), as well as the convergence of our environment through the creation with Technology of smart cities (Smart City in English). In view of the above, this article addresses concepts about the future of smart cities in collaboration with the Internet of things, the advantages and Disadvantages of these, their comparison, reception, adaptability.

scholarly journals Data Management in IOT Applications

2018 ◽  
Vol 7 (2.32) ◽  
pp. 224
Author(s):  
Dr Sanakkayala SatyaNarayana ◽  
G V. Sai Bharath ◽  
Katakam Sri Lakshmi Sahithi ◽  
Adusumilli Sai Rutwik
Keyword(s):  
Internet Of Things ◽  
Smart Cities ◽  
Quality Of Data ◽  
Huge Amount ◽  
Sensors And Actuators ◽  
Traffic System ◽  
Iot Applications ◽  
Smart Traffic ◽  
New Phase

With the technology leaping towards a new phase the next big that is happening is IOT and managing the huge amount of data that is being produced. To apprehend the real Internet of Things in which the entirely is interconnected, direct interactions between sensors and actuators, also known as bindings, are essential. As more and more devices are getting connected to the internet there is a lot of data that is being generated. We need to maintain the quality of data and it should be manageable for future use. Consequently, in evaluation to subsisting studies on smart cities we give a information driven edge depicting the central information administration methodologies employed to check consistency, interoperability, granularity and re-convenience of the information created by strategies for the fundamental Internet of Things( IoT) for smart cities. We try to find the proper communication between the devices and finally try to implement the details for a system. In this paper we are trying to do survey on how the large amount of data is being stored and various strategies for handling the data by using some architectures for the smart traffic system. We are trying to use the SWIFT architecture for analyzing the traffic in smart cities.  

scholarly journals An Internet of Things Model for Improving Process Management on University Campus

2020 ◽  
Vol 12 (10) ◽  
pp. 162
Author(s):  
William Villegas-Ch ◽  
Xavier Palacios-Pacheco ◽  
Milton Román-Cañizares
Keyword(s):  
Internet Of Things ◽  
Process Management ◽  
Smart Cities ◽  
The Internet ◽  
University Campus ◽  
Administrative Management ◽  
Use Of The Internet ◽  
The University ◽  
The Internet Of Things

Currently, there are several emerging technologies that seek to improve quality of life. To achieve this, it is important to establish the various technologies’ fields of action and to determine which technology meets the conditions established by the environment in which it is designed to operate in order to satisfy the needs of society. One type of environment is the university campus. This particular environment is conducive to the development and testing of technological innovations that might later be replicated in larger environments such as smart cities. The technology that has experienced the greatest development and introduction of applications is the Internet of Things. The wide variety of available devices and the wide reach of the Internet have become ideal parameters for the application of the Internet of Things in areas that previously required the work of people. The Internet of Things is seen as an assistant to, or a substitute for, processes that are generally routine and which require the effort of one or more people. This work focuses specifically on processes to improve administrative management in a university through the use of the Internet of Things.

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