Minimum node degree of k-connected vehicular ad hoc networks in highway scenarios

Xiong, Wei and Jingjing, Xu and Li, Yan and Wan, Xiangkui and Jin, Liang (2016) Minimum node degree of k-connected vehicular ad hoc networks in highway scenarios. EURASIP Journal on Wireless Communications and Networking, 32. pp. 1-10. ISSN 1687-1472

Text (Published version)
EURASIP Xiong Wei 2016.pdf
Available under License Creative Commons Attribution 4.0.

Download (1688Kb) | Preview


A vehicular ad hoc network (VANET) is a specific type of mobile ad hoc networks (MANETs); it can provide direct or
multi-hop vehicle-to-vehicle (V2V), vehicle-to-roadside (V2R), vehicle-to-pedestrian (V2P), and vehicle-to-internet (V2I)communications based on the pre-existing road layouts. The emerging and promising VANET technologies have drawn tremendous attention from the government, academics, and industry over the past few years and have been increasingly available for a large number of cutting edge applications that can be classified into road safety, traffic efficiency, and infotainment categories. Due to the unique characteristics of VANETs, such as high mobility with an
organized but constrained pattern, and diverse radio propagation conditions, the conventional researches dedicated for general MANETs cannot be directly applied to VANETs. This paper presents an analytical framework to investigate the minimum node degree of k-connected VANETs, with a homogeneous range assignment in highway scenarios. We
simulate the mobility patterns with realistic vehicular traces, model the network topology as a two-path fading
geometric random graph, and conduct extensive experiments on the derived analytical results. Through a combination of mathematical modeling and simulations, we derive a probabilistic bound for the minimum node degree of a homogeneous vehicular ad hoc network in highway scenarios. The analytical framework is useful in the study of connectivity and estimation of performance in one-dimensional vehicular ad hoc networks.

Statistics for USQ ePrint 30566
Statistics for this ePrint Item
Item Type: Article (Commonwealth Reporting Category C)
Refereed: Yes
Item Status: Live Archive
Additional Information: Published version made available under Creative Commons Attribution 4.0 International Licence.
Faculty / Department / School: Current - Faculty of Health, Engineering and Sciences - School of Agricultural, Computational and Environmental Sciences
Date Deposited: 08 Feb 2017 04:58
Last Modified: 02 Mar 2017 05:00
Uncontrolled Keywords: vehicular ad hoc networks (VANETs), minimum node degree, network connectivity
Fields of Research : 08 Information and Computing Sciences > 0805 Distributed Computing > 080503 Networking and Communications
Socio-Economic Objective: E Expanding Knowledge > 97 Expanding Knowledge > 970110 Expanding Knowledge in Technology
Identification Number or DOI: 10.1186/s13638-016-0529-0

Actions (login required)

View Item Archive Repository Staff Only