Reduction of packet error rate in V2V communication based on machine learning
[ X ]
Tarih
2021
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
IEEE
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
Reducing the accidents that resulted from traffic is
a highly concerning issue. Automating cars or emergency
communication are attempting the decrease these accidents. So
improving the conditions of communication between vehicles
under research. One of the improvements comes by standardizing
transmitting packets, which is best executed by the 802.11p
protocol. 802.11p encompasses a field that has the size value of the
transmitted packet.. So this work centering on developing a
powerfully adaptable packet size framework, which depends on
the value of the signal-to-noise ratio (SNR). There is neural
network (NN) controls to the framework, which prepared by
candidate values of packet size come from an equation derived
practically by testing it numerous times the connection between
packet error ratios (PERs) and packet size values. The usage of the
proposed framework comes about in a noteworthy diminishment
in PER, and the comes about were appeared by practice the
proposed framework and two other frameworks, one of them is
satisfied without channel tracking whereas the moment had
channel tracking. The comparison for band 10MHz appears
there's a 46.6 percent and 36.88 percent average decrease in PER
values compared to not tracking the channel and tracking the
channel, separately. Comes about average improving the PER
values for band 20MHz were 18 percent for the without-channeltracking and 66.91 percent for the with-channel-tracking
frameworks. As a result, the inspiration to utilize NN, which is one
field of machine learning (ML), was figured out. Besides, this work
persuades more researches that got to be done applying the ML
into the vehicle to vehicle (V2V) communication.
Açıklama
Anahtar Kelimeler
802.11p Protocol, Neural Network, Vehicle to Vehicle
Kaynak
IEEE
WoS Q Değeri
Scopus Q Değeri
N/A
Cilt
Sayı
Künye
Alyassri, S., Ilyas, M., Marhoon, A., & Bayat, O. (2021, June). Reduction of Packet Error Rate in V2V Communication Based on Machine Learning. In 2021 International Conference on Communication & Information Technology (ICICT) (pp. 110-115). IEEE.
