Paper Info
Title
An Adaptive Back-Off Scheme Based on Improved Markov Model for Vehicular ad hoc Networks.
Abstract
In vehicular ad hoc networks (VANETs), the vehicles will periodically exchange information via broadcasting security-related message, such as the states of vehicles and roads, in which the performance may become worse when the vehicle density increases. To improve the poor performance of network when vehicular density is high, an adaptive back-off scheme based on improved Markov model is proposed in this paper. First, an improved Markov model with a contention window (CW) inheritance mechanism is applied to reduce the network load. The vehicle with the improved model will take beacon expiration into account and actively discard expired beacons to relieve the pressure on the channel. Then, an initial CW selection mechanism is designed to improve the efficiency of accessing the channel through providing the optimal initial CW for the vehicles with different densities. Finally, we define a network busy factor to describe the condition of broadcast channel and propose an adaptive back-off algorithm which can dynamically adjust the CW according to the network busy factor. Simulation results show that the new scheme can significantly improve the performance of broadcast.
Year
DOI
Venue
2018
10.1109/ACCESS.2018.2878148
IEEE ACCESS
Keywords
Field
DocType
Vehicular ad hoc networks,Markov model,back-off algorithm,contention window
Beacon,Broadcasting,Markov process,Markov model,Computer science,Communication channel,Computer network,Wireless ad hoc network,Time division multiple access,Broadcast channels
Journal
Volume
ISSN
Citations 
6
2169-3536
0
PageRank 
References 
Authors
0.34
0
4
Name
Order
Citations
PageRank
Xiang Yu15012.78
Haoyue Xiao200.68
Shiyan Wang312.04
Yujie Li425742.93