A Survey on VANETs Routing Protocols for IoT Intelligent Transportation Systems

Author(s):  
Maede Fotros ◽  
Javad Rezazadeh ◽  
Omid Ameri Sianaki
2021 ◽  
Vol 8 (1) ◽  
pp. 35-48
Author(s):  
Hamza Zemrane ◽  
Youssef Baddi ◽  
Abderrahim Hasbi

Nowadays, the use of wireless technology has invaded the market of telecommunications networks. There are two main families of wireless networks: networks with infrastructure and networks without infrastructure or AdHoc. In the networks with infrastructure, communications are made via a fixed base station; however, communications in an AdHoc network occur in the absence of any fixed communication infrastructure. There are three types of AdHoc networks: mobile AdHoc networks, mesh networks, and sensor networks. This research applied the mobile AdHoc network to the intelligent transportation systems that improve the traditional transport system with reducing the risk of human errors and with the effective management of traffic congestion. The authors focus in the work especially on the routing protocols inside the MANETs to come out with four routing protocols (AODV, OLSR, DSR, and TORA), and this paper compared their performances in case of using HTTP application, FTP application, email application, voice application, and the rate of the routing control traffic.


2020 ◽  
Vol 19 (11) ◽  
pp. 2116-2135
Author(s):  
G.V. Savin

Subject. The article considers functioning and development of process flows of transportation and logistics system of a smart city. Objectives. The study identifies factors and dependencies of the quality of human life on the organization and management of stream processes. Methods. I perform a comparative analysis of previous studies, taking into account the uniquely designed results, and the econometric analysis. Results. The study builds multiple regression models that are associated with stream processes, highlights interdependent indicators of temporary traffic and pollution that affect the indicator of life quality. However, the identified congestion indicator enables to predict the time spent in traffic jams per year for all participants of stream processes. Conclusions. The introduction of modern intelligent transportation systems as a component of the transportation and logistics system of a smart city does not fully solve the problems of congestion in cities at the current rate of urbanization and motorization. A viable solution is to develop cooperative and autonomous intelligent transportation systems based on the logistics approach. This will ensure control over congestion, the reduction of which will contribute to improving the life quality of people in urban areas.


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