TY - GEN
T1 - Capacity-aware cost-efficient network reconstruction for post-disaster scenario
AU - Wang, Xiaoyan
AU - Zhou, Hao
AU - Zhong, Lei
AU - Ji, Yusheng
AU - Takano, Kiyoshi
AU - Yamada, Shigeki
AU - Xue, Guoliang
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/12/21
Y1 - 2016/12/21
N2 - Natural disasters can result in severe damage to communication infrastructure, which leads to further chaos to the damaged area. After the disaster strikes, most of the victims would gather at the evacuation sites for food supplies and other necessities. Having a good communication network is very important to help the victims. In this paper, we aim at recovering the network from the still-alive mobile base stations to the out-of-service evacuation sites by using multi-hop relaying technique. We propose to reconstruct the post-disaster network in a capacity-aware way based on prize collecting Steiner tree. The purpose of the proposed scheme is to achieve high capacity connectivity ratio in a cost efficient way. To provide more accurate evaluation results, we evaluate the proposed scheme by using the real evacuation site and base station data in Tokyo area, and utilizing the big data analysis based post-disaster service availability model.
AB - Natural disasters can result in severe damage to communication infrastructure, which leads to further chaos to the damaged area. After the disaster strikes, most of the victims would gather at the evacuation sites for food supplies and other necessities. Having a good communication network is very important to help the victims. In this paper, we aim at recovering the network from the still-alive mobile base stations to the out-of-service evacuation sites by using multi-hop relaying technique. We propose to reconstruct the post-disaster network in a capacity-aware way based on prize collecting Steiner tree. The purpose of the proposed scheme is to achieve high capacity connectivity ratio in a cost efficient way. To provide more accurate evaluation results, we evaluate the proposed scheme by using the real evacuation site and base station data in Tokyo area, and utilizing the big data analysis based post-disaster service availability model.
UR - http://www.scopus.com/inward/record.url?scp=85010046985&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85010046985&partnerID=8YFLogxK
U2 - 10.1109/PIMRC.2016.7794910
DO - 10.1109/PIMRC.2016.7794910
M3 - Conference contribution
AN - SCOPUS:85010046985
T3 - IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC
BT - 2016 IEEE 27th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications, PIMRC 2016
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 27th IEEE Annual International Symposium on Personal, Indoor, and Mobile Radio Communications, PIMRC 2016
Y2 - 4 September 2016 through 8 September 2016
ER -