Detailed Information

Cited 0 time in webofscience Cited 4 time in scopus
Metadata Downloads

Route Prediction Based Vehicular Mobility Management Scheme for VANET

Authors
Lee, DaeWonKim, Yoon-HoLee, HwaMin
Issue Date
2014
Publisher
Taylor and Francis
Keywords
VANET; Mobility; Route Prediction
Citation
International Journal of Distributed Sensor Networks
Journal Title
International Journal of Distributed Sensor Networks
URI
https://scholarworks.bwise.kr/sch/handle/2021.sw.sch/13025
DOI
10.1155/2014/679780
ISSN
1550-1329
1550-1477
Abstract
Since improvement of wireless communication, IP based mobility management protocols have been studied to provide seamless communication and mobility management. The vehicular ad hoc network (VANET) is one of mobility management protocols, especially providing seamless connection with inter/intra/inner vehicle communication. However, each vehicle moves fast that causes short-lived connections with Access Router (AR). Based on vehicles' characteristic, it is hard to provide the availability of IP services in VANET. The most critical issue of the design of scalable routing algorithm is to provide robustness of frequent path disruption caused by vehicles' mobility. In this paper, we pursue the characteristics of vehicles' mobility and analyze them. With the navigation information which is one of vehicles' mobility characteristics, we classify the mobility into intrahighway mobility and global mobility management. Furthermore, we propose mobility management scheme based on route prediction in VANET. Handoffs with intrahighway mobility are managed locally and transparency is provided to CHs, while global mobility is managed with Mobile IPv6. Finally, through the numerical analysis, we show that proposed mobility management protocol reduces handoff latency, signaling costs, and packet loss.
Files in This Item
There are no files associated with this item.
Appears in
Collections
College of Engineering > Department of Computer Software Engineering > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Altmetrics

Total Views & Downloads

BROWSE