Abstract:Maintaining communication

Abstract:
Maintaining communication links of an established communication path that extends between source and destination nodes is a significant challenge in Vehicular Ad Hoc Networks (VANETs) due to movement of the vehicles. In emergency applications for vehicular networks, users only interest the content in the messages that are related to them. Therefore, Named Data Networking (NDN) is a perfect match for the emergency applications where it only focuses on “what” is the data instead of “where” is the data. In this paper, we proposed Emergency Application for Vehicle-to-Vehicle Communication using Named Data Networking (eVNDN). In eVNDN, generated packet names are based on different emergency broadcast applications and the location of the senders. This enables vehicles to communicate based on the contents of the messages and allows nearby neighbor vehicles quickly determine whether these messages fit for their interest. Based on the content in the packets that users (e.g., vehicles) send or receive, eVNDN will determine the optimal strategy. We give simulation results to demonstrate the effectiveness of our approach. With the experiment results, we showed that the eVNDN is able to improve the performance of the vehicular network for emergency applications.

ผลลัพธ์ (อังกฤษ) 2:

Abstract:
Maintaining Communication Communication links of an established path that extends between source and Destination nodes is a significant vehicular Ad Hoc Networks in Challenge (VANETs) Due to the Movement of vehicles. In emergency applications for vehicular networks, users only interest the content in the messages that are related to them. Therefore, Named Data Networking (NDN) is a perfect match for the emergency applications where it only focuses on "what" is the data instead of "where" is the data. In this paper, we proposed Emergency Application for Vehicle-to-Vehicle Communication using Named Data Networking (eVNDN). In eVNDN, generated packet names are based on different emergency broadcast applications and the location of the senders. This enables vehicles to communicate based on the contents of the messages and allows nearby neighbor vehicles quickly determine whether these messages fit for their interest. Based on the content in the packets that users (eg, vehicles) send or receive, eVNDN will determine the optimal strategy. We give simulation results to demonstrate the effectiveness of our approach. With the experiment results, we showed that the eVNDN is able to improve the performance of the vehicular network for emergency applications.