EditorialModeling and simulation for intelligent mobility
Introduction
Intelligent mobility uses emerging technologies to move people and goods more smartly and efficiently. One of the emerging paradigm is so called Internet of Vehicles (IOV), which plays an important part of the wisdom city and is a complex integrated network system connecting different people within automotive, different automotive and different environment entries in cities. Internet of Vehicles (IoV) refers to dynamic mobile communication systems that communicate between vehicles and public networks using vehicle-to-vehicle (V2V), vehicle-to-road (V2R), vehicle-to-human (V2H) and vehicle-to-sensor (V2S) interactions. It enables information sharing and the gathering of information on vehicles, roads and their surrounds. Moreover, it features the processing, computing, sharing and secure release of information onto information platforms, such as clouds and grids [1], [2]. Based on this data, the system can effectively guide and supervise vehicles, and provide abundant multimedia and mobile Internet application services.
Section snippets
Mobility architecture
The paper by Mohammad Reza Jabbarpour, Ali Jalooli, Erfan Shaghaghi, Alireza Marefat, Rafidah Md Noor and Jason J. Jung, entitled “Analyzing the impacts of velocity and density on intelligent position-based routing protocols” [3] investigated how density along with velocity can affect intelligent position-based routing protocols in vehicular ad hoc networks. In this study, the VANET routing protocols are classified into six categories. The obtained results indicate that both velocity and
Vehicle communication and networking
The paper by Jack Fernando Bravo-Torres, Martín López-Nores, Yolanda Blanco-Fernández, José Juan Pazos-Arias and Esteban Fernando Ordóñez-Morales, entitled “VaNetLayer: a virtualization layer supporting access to web contents from within vehicular networks” [4] presented an approach to support individualized access to web contents from vehicular ad hoc networks. A virtualization layer allows TCP to work properly on top of a variant of AODV routing, and engages the mobile nodes in collaboration,
Modeling secure wireless networks
The paper by Xuran Li; Jianlong Xu, Hong-Ning Dai, Qinglin Zhao, Chak Fong Cheang and Qiu Wang, entitled “On modeling eavesdropping attacks in wireless networks” [5] proposed an analytical framework to model the eavesdropping attacks in wireless networks with consideration of both channel conditions and antenna models. Both theoretical analysis and simulation results agree that the proposed analytical models can accurately approximate the eavesdropping activities of eavesdroppers. The research
Algorithms and optimizations
The paper by Anasthasia Agnes Haryanto, David Taniar and Kiki Maulana Adhinugraha, entitled “Group reverse kNN query optimisation” [6] proposed algorithm to process Group Reverse kNN Queries in spatial databases. The authors try to optimize the query processing through workspace partitioning. Techniques for query validation and region generation process are also presented. The evaluations show that the accuracy of their approaches is high and the chance of region to be created is pretty low
Conclusions
All of the above papers address either original research in architectures, algorithms, services, information fusion methods, or propose novel application models in the various intelligent mobility fields. They also trigger further related research and technology improvements in application of connected vehicles services. This special issue serves as a landmark source for education, information, and reference to professors, researchers and graduate students interested in updating their knowledge
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