TY - GEN
T1 - A Location-Aided Connectivity and Connection Time-Based Clustering Algorithm for HAP-Based Vehicle Ad Hoc Networks
AU - Cai, Mengge
AU - Liu, Kai
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/12/14
Y1 - 2018/12/14
N2 - The current railway transit information transformation system depends heavily on perfect landside communication facilities, which will face challenges in the region where landside communication infrastructure is underdeveloped. In this paper, we introduce two kinds of high altitude platforms(HAPs), aerostat and unmanned aerial vehicle(UAV) to construct HAP-based vehicle ad hoc network, which is a promising solution to supplement to the undeveloped landside communication infrastructure. A location-aided connectivity and connection time-based clustering algorithm(LCCT-CA), which takes connectivity and connection time into account, is proposed for the network. Simulation results show that the algorithm perform better than traditional algorithms, especially in terms of rapid networking and reliability.
AB - The current railway transit information transformation system depends heavily on perfect landside communication facilities, which will face challenges in the region where landside communication infrastructure is underdeveloped. In this paper, we introduce two kinds of high altitude platforms(HAPs), aerostat and unmanned aerial vehicle(UAV) to construct HAP-based vehicle ad hoc network, which is a promising solution to supplement to the undeveloped landside communication infrastructure. A location-aided connectivity and connection time-based clustering algorithm(LCCT-CA), which takes connectivity and connection time into account, is proposed for the network. Simulation results show that the algorithm perform better than traditional algorithms, especially in terms of rapid networking and reliability.
KW - clustering algorithm
KW - connection time
KW - connectivity
KW - high altitude platform (HAP)
KW - stablity metric
KW - vehicle ad hoc network(VANET)
UR - https://www.scopus.com/pages/publications/85060388606
U2 - 10.1109/IAEAC.2018.8577768
DO - 10.1109/IAEAC.2018.8577768
M3 - 会议稿件
AN - SCOPUS:85060388606
T3 - Proceedings of 2018 IEEE 3rd Advanced Information Technology, Electronic and Automation Control Conference, IAEAC 2018
SP - 702
EP - 708
BT - Proceedings of 2018 IEEE 3rd Advanced Information Technology, Electronic and Automation Control Conference, IAEAC 2018
A2 - Xu, Bing
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 3rd IEEE Advanced Information Technology, Electronic and Automation Control Conference, IAEAC 2018
Y2 - 12 October 2018 through 14 October 2018
ER -