Open AccessThe effect of region-based message selective delivery strategy on post-disaster emergency network
Author(s) -
Xuanrui Xiong,
Min Liu,
Yuan Zhang,
g Zhang,
Gaosheng Chen,
Mingkai Fu,
Zhanwei Cheng
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1486/2/022005
Subject(s) - computer network , disaster area , computer science , overhead (engineering) , node (physics) , network packet , transmission (telecommunications) , routing (electronic design automation) , data transmission , telecommunications network , emergency management , telecommunications , engineering , geography , structural engineering , meteorology , law , political science , operating system
Stricken areas are shut off from the world, as large-scale infrastructures (e.g. bridges, roads and power equipments) have been destroyed after earthquakes, floods, and other disasters. Large-scale and cross-regional communication in the disaster area is difficult to achieve due to the harsh communication environment, such as unstable communication links and limited network resources, especially for remote isolated areas. Delay tolerant networks (DTNs) use the way of a “store-carry-forward” to transfer messages, which is suitable for the large transmission delay and intermittent link communication. In this paper, the DTNs based on regional center node and Unmanned Aerial Vehicle (UAV) is proposed to build the post-disaster emergency communication network. Further, a region-based message selective delivery routing policy is proposed for the emergency communication network. The received messages are classified according to its destination address at the regional center node and the UAV ferry node. In this way, the data packets can be accurately delivered to the corresponding area, and redundant data packets will be reduced in the network. The effect of the routing policy on network performance is evaluated. Simulation results show that the policy can effectively improve the data delivery rate, reduce the overhead ratio and significantly reduce the transmission delay.