Mobility-based sinknode-aided routing in disaster network under the background of big data

被引：5

作者：

Ma, Chuang ^{[1
]}

Yang, Yongjian ^{[1
]}

Ma, C. ^{[2
]}

机构：

[1] Jilin Univ, Coll Comp Sci & Technol, Changchun 130012, Jilin, Peoples R China

[2] Syracuse Univ, New York, NY 13244 USA

来源：

CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS | 2019年 / 22卷 / Suppl 5期

基金：

中国国家自然科学基金;

关键词：

Disaster network; Delay tolerant networking; Mobility; Sink node; SOCIAL NETWORKS; TOLERANT;

D O I：

10.1007/s10586-017-1423-1

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Most routing protocols of delay and disruption tolerant Networking have become popular in disasters areas. However, the nodes' mobility is limited due to the special requires in disaster scenario. In this paper, a novel mobility-based sinknode-aided routing scheme is proposed with a view to using the scheduled mobility model. Then, the extensive simulations on real traces are conducted in comparison with several existing approaches, including MaxProp, Prophet and so on. Finally, the results show the competitive performance of mobility-based sinknode-aided routing in disaster network, which proves the proposed MSR performs better than the other three existing routing schemes in some way. Therefore, the mobility patterns proposed will definitely play an important role in routing in disaster network.

引用

页码：11583 / 11590

页数：8

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