PLDRA: Probability-Based Loss Differentiation Rate Adaptive Algorithm for IEEE 802.11p
- Resource Type
- Authors
- Shubin Wang; Minghao Wang; Caiqing Wang; Jingtao Du
- Source
- Lecture Notes in Electrical Engineering ISBN: 9789811362637
CSPS (1)
- Subject
- Vehicular ad hoc network
Adaptive algorithm
Basis (linear algebra)
Computer science
Frame (networking)
020302 automobile design & engineering
020206 networking & telecommunications
Throughput
02 engineering and technology
0203 mechanical engineering
Packet loss
0202 electrical engineering, electronic engineering, information engineering
IEEE 802.11p
Algorithm
Communication channel
- Language
The traditional rate adaptive algorithm based on channel detection fails to work well under the vehicular network of which channel quality changes quickly because of the fixed threshold of rate switching. This paper proposes a rate adaptive algorithm with loss differentiation for vehicle network based on the probabilities of which kinds of frame lost (PLDRA). This paper proposes a suitable threshold of SNR-MCS switching for IEEE 802.11p under VANET. And by comparing the size of frame error rate and collision rate as the basis of packet loss, the next transmission rate is selected by using both the threshold and situation of packet loss. Simulation results show that the PLDRA algorithm can achieve higher accuracy for channel quality prediction and higher system throughput under VANET, compared with ARF algorithm and FARA algorithm.