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.

scholarly journals Smart cities and a data-driven response to COVID-19

2020 ◽  
Vol 10 (2) ◽  
pp. 255-259 ◽  
Author(s):  
Philip James ◽  
Ronnie Das ◽  
Agata Jalosinska ◽  
Luke Smith
Keyword(s):  
Internet Of Things ◽  
Real Time ◽  
Urban Governance ◽  
Smart Cities ◽  
Rapid Development ◽  
Data Capture ◽  
Data Driven ◽  
Existing Data

This commentary describes the rapid development of a COVID-19 data dashboard utilising existing Urban Observatory Internet of Things (IoT) data and analytics infrastructure. Existing data capture systems were rapidly repurposed to provide real-time insights into the impacts of lockdown policy on urban governance.

scholarly journals PENERAPAN DATA MINING DALAM MENGELOMPOKAN PRODUKSI JAGUNG MENURUT PROVINSI MENGGUNAKAN ALGORITMA K-MEANS

2019 ◽  
Vol 3 (1) ◽  
Author(s):  
Nanda Erlangga ◽  
Solikhun Solikhun ◽  
Irawan Irawan
Keyword(s):  
Data Mining ◽  
Clustering Algorithm ◽  
Rapid Development ◽  
Domestic Market ◽  
Corn Production ◽  
Low Level ◽  
High Level ◽  
Level Cluster ◽  
Central Statistics

Corn needs are currently experiencing a fairly rapid development can be seen in terms of the domestic market, here researchers want to increase the productivity and quality of corn production. The data that will be used is the data from the Central Statistics Agency. The method in this study is the K-means clustering algorithm and the application used is Rapidminer which will be grouped into 2 clustering, namely high and low. The results of this study are 2 high level cluster provinces, 32 low level cluster provincesKeywords: Corn, Data mining, K-means Clustering c

scholarly journals The Synthesis of Blockchain, Artificial Intelligence and Internet of Things

2020 ◽  
Vol 5 (5) ◽  
pp. 588-593
Author(s):  
Brian Parker ◽  
Christian Bach
Keyword(s):  
Artificial Intelligence ◽  
Internet Of Things ◽  
Third Party ◽  
Smart Devices ◽  
Learning Technology ◽  
Digital Information ◽  
New Paradigm ◽  
Resource Limitations ◽  
Blockchain Technology ◽  
High Level

This paper is an exploration of several theories on the synthesis of the Blockchain(BC), the Internet of Things (IoT), and Artificial Intelligence(AI) through a literature review. Blockchain technology is a decentralized peer-to-peer network that stores records and transactions in immutable blocks secured by cryptography. The decentralization aspect of blockchain eliminates the need for trusted third party interceder. Internet of Things(IoT) is an interrelated computer system that makes a connection between computers and humans to communicate in several areas; smart devices like homes, cars, radio are just a few examples. IoT challenges are security, connectivity, issues with the analysis of big data, centralization, and vulnerability to attacks.  Artificial Intelligence(AI) machine learning technology is the advanced decision-making process that influences daily routines such as banking, healthcare, gaming, transportation, and space exploration, among others. AI’s challenges are; security, centralized architecture, and resource limitations. The methodology will be a comprehensive quantitative analysis of the existing research and how these technologies can be a transformative impact on how information is accessed through enterprise and society. The convergence of BC, AI, and IoT will provide scalable, secure high-level intellectual functioning that will be the new paradigm of digital information.

scholarly journals Designing Efficient Smart Home Management with IoT Smart Lighting: A Case Study

2020 ◽  
Vol 2020 ◽  
pp. 1-18
Author(s):  
Tran Anh Khoa ◽  
Le Mai Bao Nhu ◽  
Hoang Hai Son ◽  
Nguyen Minh Trong ◽  
Cao Hoang Phuc ◽  
...  
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Information Security ◽  
Internet Of Things ◽  
Real Time ◽  
Mobile Networks ◽  
Smart Home ◽  
Smart Cities ◽  
Smart Homes ◽  
Authentication Mechanism

Smart homes are an element of developing smart cities. In recent years, countries around the world have spared no effort in promoting smart cities. Smart homes are an interesting technological advancement that can make people’s lives much more convenient. The development of smart homes involves multiple technological aspects, which include big data, mobile networks, cloud computing, Internet of Things, and even artificial intelligence. Digital information is the main component of signal control and flow in a smart home, while information security is another important aspect. In the event of equipment failure, the task of safeguarding the system’s information is of the utmost importance. Since smart homes are automatically controlled, the problem of mobile network security must be taken seriously. To address these issues, this paper focuses on information security, big data, mobile networks, cloud computing, and the Internet of Things. Security efficiency can be enhanced by using a Secure Hash Algorithm 256 (SHA-256), which is an authentication mechanism that, with the help of the user, can authenticate each interaction of a given device with a WebServer by using an encrypted username, password, and token. This framework could be used for an automated burglar alarm system, guest attendance monitoring, and light switches, all of which are easily integrated with any smart city base. In this way, IoT solutions can allow real-time monitoring and connection with central systems for automated burglar alarms. The monitoring framework is developed on the strength of the web application to obtain real-time display, storage, and warning functions for local or remote monitoring control. The monitoring system is stable and reliable when applying SHA-256.

scholarly journals Measuring Smart Building Readiness Index: A Case Study of Bandung City

2020 ◽  
Vol 20 (2) ◽  
pp. 133
Author(s):  
Indrawati . ◽  
Angdini Nurillaily ◽  
Husni Amani ◽  
S. K. B. Pillai
Keyword(s):  
Energy Consumption ◽  
Smart City ◽  
Smart Cities ◽  
Exploratory Research ◽  
Smart Buildings ◽  
Smart Building ◽  
The Public ◽  
Developing Cities ◽  
High Level

Government and private players started focusing on developing cities in to smart cities due to increased level of urbanization in most of the countries around the world, including in Indonesia, by focusing on developing new smart buildings and upgrading old ones. Present paper tried to find out the Smart Building Readiness Index (SBRI) of Bandung City for knowing the level of awareness among the general public based on an exploratory research, the result of which enables the authorities to take strategic initiatives for improving the smart buildings and then to smart city status. Required data was collected by conducting in-depth interviews with 30 respondents and the result of the qualitative data revealed that Bandung’s SBRI comes to only 64.39, which is not a good indicator but within the limits of fairness and needs lot of improvement in future. The result also can be considered as an indicator that annual energy consumption in Bandung city is still at a high level and needs to focus on improving the quality of buildings in and around Bandung city for the purpose of overall reduction in energy consumption and improvement in quality of environment as well as quality of life. Respondents are also not fully aware of the smart building concept. Much needs to be done for making the public aware of the concept of smart building and its usefulness along with strategically developing smart buildings so that in future Bandung city transforms into a smart city with smart buildings. Keywords— Smart City; Smart Building Readiness Index; Bandung.

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 City Technology: Ecological Sustainability

2021 ◽  
Vol 295 ◽  
pp. 01032
Author(s):  
Anton Nazarov ◽  
Natalya Tovmasyan ◽  
Denis Kovtun
Keyword(s):  
Smart City ◽  
Smart Cities ◽  
Modern Society ◽  
Well Being ◽  
Ecological Sustainability ◽  
High Quality ◽  
Wide Range ◽  
Quality Of Living ◽  
High Level

The Smart City concept includes a fairly wide range of characteristics of this new phenomenon for modern society. The main goal of creating smart cities is the comfortable living in them of people with a high level of well-being. The quality of living conditions for people in smart cities directly depends on how clean their natural environment is. The article examines the features of the development of the ecological vector of creating cities with maximum amenities for residents. Possible risks associated with negligence towards objects of animate and inanimate nature are listed, ways of high-quality environmental protection of cities of the future are outlined.

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