TY - GEN
T1 - Reducing Redundant Transmissions for Message Broadcast in Vehicular Ad Hoc Networks
AU - Wang, Yu Ting
AU - Tsai, Meng Hsun
AU - Matsubayashi, Akira
N1 - Funding Information:
ACKNOWLEDGMENT This work is supported in part by DUT-NCKU Joint Research Program, Accton-NCKU joint research center, Quanta-NCKU joint AI research center, and in part by the Ministry of Science and Technology (MOST) under Grant 110-2221-E-006-016-and 111-2221-E-006-160-.
Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - As the number of autonomous cars grows explosively, it is important to broadcast messages with less time and fewer transmissions, especially emergency messages. Therefore, we present an efficient way to broadcast messages by recording the information of informed and uninformed nodes and adopt the mechanism into the push-pull algorithm for vehicular ad hoc networks.
AB - As the number of autonomous cars grows explosively, it is important to broadcast messages with less time and fewer transmissions, especially emergency messages. Therefore, we present an efficient way to broadcast messages by recording the information of informed and uninformed nodes and adopt the mechanism into the push-pull algorithm for vehicular ad hoc networks.
UR - http://www.scopus.com/inward/record.url?scp=85150646194&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85150646194&partnerID=8YFLogxK
U2 - 10.1109/CCNC51644.2023.10060804
DO - 10.1109/CCNC51644.2023.10060804
M3 - Conference contribution
AN - SCOPUS:85150646194
T3 - Proceedings - IEEE Consumer Communications and Networking Conference, CCNC
SP - 969
EP - 970
BT - 2023 IEEE 20th Consumer Communications and Networking Conference, CCNC 2023
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 20th IEEE Consumer Communications and Networking Conference, CCNC 2023
Y2 - 8 January 2023 through 11 January 2023
ER -