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Fast Networking for Disaster Recovery
IEEE Transactions on Emerging Topics in Computing ( IF 5.9 ) Pub Date : 2020-07-01 , DOI: 10.1109/tetc.2017.2775798
Jianwen Xu , Kaoru Ota , Mianxiong Dong

Content-Centric Networking (CCN) is now a research hotspot aiming at building up a new network architecture compared with the traditional IP-based, host-centric one. In this paper, after leaning that CCN's content naming and content-based properties make it suitable for fast network organizing in disaster recovery, we propose methods on access point placement and routing to fast connect users in a middle-scale post-disaster scenario model. Our work includes the design of a placement algorithm using graphic union coverage and a CCN routing strategy based on Breadth-First Searching, both extracting the social attributes of user node distribution. We use real-world maps for simulation and carry out comparative analysis with existing Ad Hoc methods under the same experimental conditions. The simulation results show that CCN can bring more efficient routing and robust framework to fulfill the urgent demands of post-disaster recovery.

中文翻译:

用于灾难恢复的快速联网

以内容为中心的网络(CCN)现在是一个研究热点,与传统的基于IP、以主机为中心的网络架构相比,它旨在建立一种新的网络架构。在本文中,在了解 CCN 的内容命名和基于内容的属性使其适用于灾难恢复中的快速网络组织之后,我们提出了接入点放置和路由的方法,以在中等规模的灾后场景模型中快速连接用户。我们的工作包括使用图形联合覆盖设计放置算法和基于广度优先搜索的 CCN 路由策略,两者都提取用户节点分布的社交属性。我们使用真实世界的地图进行模拟,并在相同的实验条件下与现有的 Ad Hoc 方法进行比较分析。
更新日期:2020-07-01
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