scholarly journals A New Framework of Intelligent Public Transportation System Based on the Internet of Things

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 55290-55304 ◽  
Author(s):  
Xing-Gang Luo ◽  
Hong-Bo Zhang ◽  
Zhong-Liang Zhang ◽  
Yang Yu ◽  
Ke Li
Keyword(s):  
Internet Of Things ◽  
Public Transportation ◽  
Transportation System ◽  
The Internet ◽  
Public Transportation System ◽  
The Internet Of Things ◽  
New Framework

scholarly journals A Middleware Framework between Mobility and IoT Using IEEE 802.15.4e Sensor Networks

2020 ◽  
Vol 4 (2) ◽  
pp. 90
Author(s):  
Tanweer Alam
Keyword(s):  
Sensor Networks ◽  
Internet Of Things ◽  
Sensor Network ◽  
Ad Hoc ◽  
The Internet ◽  
Efficient Simulation ◽  
Physical Objects ◽  
Ad Hoc Sensor Networks ◽  
The Internet Of Things ◽  
New Framework

In this paper, we propose a mobility framework for connecting the physical things in wireless ad hoc sensor networks. Our area of study is the internet of things by using an ad hoc sensor network. Our purpose in this study is to create a mobility framework for the internet of things. For example- how we connect many physical objects and give them a sense of sensing each other in an ad hoc environment. We can connect different physical objects in a framework of an ad hoc sensor network. Our main contribution is a new methodology for simulating mobility physical objects for the internet of things. Our methodology uses the correct and efficient simulation of the desired study and can be implemented in a framework of ad hoc sensor networks. Our study will generate a new framework for solving the issue of connectivity among physical objects. The proposed mobility framework is feasible to run among physical objects using the ad hoc sensor network.

scholarly journals Internet of Things and Intelligent Transportation System

2021 ◽  
Vol 2066 (1) ◽  
pp. 012066
Author(s):  
Dandan Zhang ◽  
Panjing Tan
Keyword(s):  
Internet Of Things ◽  
Intelligent Transportation System ◽  
Intelligent Transportation ◽  
Transportation System ◽  
Route Optimization ◽  
Wireless Sensor ◽  
The Internet ◽  
Dijkstra Algorithm ◽  
Design Scheme ◽  
The Internet Of Things

Abstract As the core of the new monitoring system, the Internet of Things realizes the integration of wireless sensor networks and traditional communication networks, and provides a platform for remote management and monitoring of the underlying equipment. The intelligent transportation system framework built on this basis combines intelligent transportation technology and the organic combination of vehicle management technologies is conducive to the safety, speed and reliability of vehicle transportation, and plays an important role in further reducing transportation costs. Based on this, this article launched the research on the Internet of Things and intelligent transportation systems. This article first summarizes the concepts of the Internet of Things, intelligent transportation and wireless sensor network technology and the current research status at home and abroad. By analyzing and comparing the performance and characteristics of various communication methods, embedded core microprocessors and embedded operating systems, this paper proposes an overall design scheme of the Internet of Things transportation system based on embedded technology. This paper analyzes the path planning problems in the application of the transportation system, combining the shortest path algorithm simulation results and the actual characteristics of the transportation network, and proposes a simulation data fitting method based on two network parameters and Bellman-Ford, Dijkstra, and Floyd algorithms. The route optimization scheme, and the above-mentioned design scheme was implemented in the transportation system, and the scheme verification was carried out. Finally, this article describes in detail the overall debugging process and operating results of the transportation system, thereby fully verifying the feasibility and correctness of the design and implementation methods of the intelligent transportation system based on the Internet of Things. The research results show that when the INF-PROPORTION is small, the Dijkstra algorithm is better than the Bellman-Ford algorithm. When INF-PROPORTION=0.3, the two algorithms T overlap. Since then, the advantages of the Bellman-Ford algorithm gradually appear, but it is approaching in INF-PROPORTION. At 1 o’clock, the Dijkstra algorithm has a sharp decrease, which is again smaller than the Bellman-Ford algorithm. The second loop condition in the main loop of Dijkstra’s algorithm cannot be satisfied, resulting in a decrease in T.

scholarly journals H2O: Secure Interactions in IoT via Behavioral Fingerprinting

2021 ◽  
Vol 13 (5) ◽  
pp. 117
Author(s):  
Marco Ferretti ◽  
Serena Nicolazzo ◽  
Antonino Nocera
Keyword(s):  
Performance Analysis ◽  
Internet Of Things ◽  
Security Analysis ◽  
Reliability Assessment ◽  
The Internet ◽  
Essential Property ◽  
Smart Objects ◽  
Public Resources ◽  
The Internet Of Things ◽  
New Framework

Sharing data and services in the Internet of Things (IoT) can give rise to significant security concerns with information being sensitive and vulnerable to attacks. In such an environment, objects can be either public resources or owned by humans. For this reason, the need of monitoring the reliability of all involved actors, both persons and smart objects, assuring that they really are who they claim to be, is becoming an essential property of the IoT, with the increase in the pervasive adoption of such a paradigm. In this paper, we tackle this problem by proposing a new framework, called H2O (Human to Object). Our solution is able to continuously authenticate an entity in the network, providing a reliability assessment mechanism based on behavioral fingerprinting. A detailed security analysis evaluates the robustness of the proposed protocol; furthermore, a performance analysis shows the feasibility of our approach.

scholarly journals Convergence of Blockchain and IoT for Secure Transportation Systems in Smart Cities

2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Khizar Abbas ◽  
Lo’Ai A. Tawalbeh ◽  
Ahsan Rafiq ◽  
Ammar Muthanna ◽  
Ibrahim A. Elgendy ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Smart City ◽  
Smart Cities ◽  
Transportation System ◽  
Heterogeneous Data ◽  
Sensor Data ◽  
The Internet ◽  
Transit System ◽  
Smart Transportation ◽  
The Internet Of Things

Smart cities provide citizens with smart and advanced services to improve their quality of life. However, it has been observed that the collection, storage, processing, and analysis of heterogeneous data that are usually borne by citizens will bear certain difficulties. The development of the Internet of Things, cloud computing, social media, and other Industry 4.0 influencers pushed technology into a smart society’s framework, bringing potential vulnerabilities to sensor data, services, and smart city applications. These vulnerabilities lead to data security problems. We propose a decentralized data management system for smart and secure transportation that uses blockchain and the Internet of Things in a sustainable smart city environment to solve the data vulnerability problem. A smart transportation mobility system demands creating an interconnected transit system to ensure flexibility and efficiency. This article introduces prior knowledge and then provides a Hyperledger Fabric-based data architecture that supports a secure, trusted, smart transportation system. The simulation results show the balance between the blockchain mining time and the number of blocks created. We also use the average transaction delay evaluation model to evaluate the model and to test the proposed system’s performance. The system will address residents’ and authorities’ security challenges of the transportation system in smart, sustainable cities and lead to better governance.

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