Paper Info
Title
Goodput Enhancement of VANETs in Noisy CSMA/CA Channels
Abstract
The growing interest in vehicular ad hoc networks (VANETs) enables decentralized traveler information systems to become more feasible and effective in Intelligent Transportation Systems (ITS). Major challenges in such network environments include varying path characteristics and vulnerable channel quality resulting from dynamic traffic conditions and the design of the road. This paper demonstrates a feasible methodology that can enhance inter-vehicle information dissemination using dynamic optimal fragmentation with rate adaptation algorithm (DORA). DORA achieves maximum goodput in wireless mobile networks by computing a fragmentation threshold and transmitting optimal sized packets with maximum transfer rates. To estimate the SNR in the model, an adaptive on-demand UDP estimator is designed to reduce estimation overhead. Several test-beds were developed to evaluate the performance of DORA in channel estimation accuracy, ad hoc network goodput, and vehicle-to-vehicle network goodput along I-85 in Atlanta, Georgia. The proposed algorithm is an energy-efficient, generic CSMA/CA MAC protocol for wireless mobile computing applications, and enhances system goodput in ad hoc networks and vehicle-to-vehicle networks without modification of the base protocols.
Year
DOI
Venue
2011
10.1109/JSAC.2011.110122
IEEE Journal on Selected Areas in Communications
Keywords
Field
DocType
Signal to noise ratio,Bit error rate,Receivers,Multiaccess communication,Ad hoc networks,Throughput,Protocols
Wireless,Computer science,Network packet,Computer network,Throughput,Goodput,Intelligent transportation system,Wireless ad hoc network,Carrier sense multiple access with collision avoidance,Vehicular ad hoc network
Journal
Volume
Issue
ISSN
29
1
0733-8716
Citations 
PageRank 
References 
1
0.36
0
Authors
3
Name
Order
Citations
PageRank
Yusun Chang1739.02
C. P. Lee210.36
J. A. Copeland3485.12