TY - GEN
T1 - Fuzzy logic based handoff scheme for heterogeneous vehicular mobile networks
AU - Kim, Joonho
AU - Cho, Jun Dong
AU - Jeong, Jongpil
AU - Choi, Jae Young
AU - Song, Byung Hun
AU - Lee, Hyungsu
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2014/9/18
Y1 - 2014/9/18
N2 - The development of wireless communication systems has resulted in the availability of several access technologies in any geographical area, such as 3G networks, wireless local area networks (WLANs), and wireless broadband networks. The development of these technologies is provided for users who have experienced mobile network environments which are slow or fast with changes in distance between the Access Points (APs). This paper describes network performance issues in various environmental changes. Also, fuzzy logic is applied to evaluate the performance in vehicle networks around users' environmental factors to focus on minimizing transfer time and costs. First, WLAN and 3G networks with fixed distances between Aps are considered, followed by networks with random distances between APs. Finally, these two environments are analyzed with vehicle ad hoc networks. Vehicle to Infrastructure (V2I) and Vehicle to Vehicle (V2V) environmental conditions are assumed. The results based on fuzzy logic suggest optimal performance in vehicle network environments according to vehicle speed and distance between APs. The proposed algorithm shows 21% and 13% improvements in the networks performance in V2I and V2V environments, respectively.
AB - The development of wireless communication systems has resulted in the availability of several access technologies in any geographical area, such as 3G networks, wireless local area networks (WLANs), and wireless broadband networks. The development of these technologies is provided for users who have experienced mobile network environments which are slow or fast with changes in distance between the Access Points (APs). This paper describes network performance issues in various environmental changes. Also, fuzzy logic is applied to evaluate the performance in vehicle networks around users' environmental factors to focus on minimizing transfer time and costs. First, WLAN and 3G networks with fixed distances between Aps are considered, followed by networks with random distances between APs. Finally, these two environments are analyzed with vehicle ad hoc networks. Vehicle to Infrastructure (V2I) and Vehicle to Vehicle (V2V) environmental conditions are assumed. The results based on fuzzy logic suggest optimal performance in vehicle network environments according to vehicle speed and distance between APs. The proposed algorithm shows 21% and 13% improvements in the networks performance in V2I and V2V environments, respectively.
KW - Fuzzy Logic
KW - Handoff
KW - Mobile Ad Hoc Networks
KW - Vehicular Mobile Networks
UR - https://www.scopus.com/pages/publications/84908618575
U2 - 10.1109/HPCSim.2014.6903780
DO - 10.1109/HPCSim.2014.6903780
M3 - Conference contribution
AN - SCOPUS:84908618575
T3 - Proceedings of the 2014 International Conference on High Performance Computing and Simulation, HPCS 2014
SP - 863
EP - 870
BT - Proceedings of the 2014 International Conference on High Performance Computing and Simulation, HPCS 2014
A2 - Smari, Waleed
A2 - Zeljkovic, Vesna
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2014 International Conference on High Performance Computing and Simulation, HPCS 2014
Y2 - 21 July 2014 through 25 July 2014
ER -