BALANCE: A Robust Routing Protocol in Self-Organized Civilian DTN
BALANCE: A Robust Routing Protocol in Self-Organized Civilian DTN
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DOI：
10.1109/wimob.2018.8589158
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发表时间：
2018-10
期刊：
影响因子：
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通讯作者：
Sunyanan Choochotkaew;Hirozumi Yamaguchi;T. Higashino
中科院分区：
文献类型：
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作者：
Sunyanan Choochotkaew;Hirozumi Yamaguchi;T. Higashino
延迟容忍网络（DTN）架构应运而生，以应对在某些环境条件下可能出现的连续连接丢失问题，例如因灾难导致基础设施瘫痪。束协议通常通过洪泛算法在多个节点上同时存储和转发数据包束来提高网络延迟和可靠性。另一方面，洪泛机制通常会消耗资源。在本文中，我们为自组织民用DTN提出了一种名为BALANCE的稳健路由协议。在民用环境中，资源限制是一个主要问题。因此，我们的BALANCE设定了一个目标函数，通过使用回归模型预测考虑交付概率的未来传播效果，来最小化网络上的复制次数。由于设备所有者（平民）可能是自私的，并决定不存储或转发任何束，我们进一步引入一个自私因子，与我们新制定的基于信干噪比（SINR）的函数一起应用，以实现交付概率。我们针对灾难情况在静态和移动场景中进行了评估。结果表明，与广泛使用的协议相比，所提出的协议在交付性能和资源消耗方面具有最高的权衡值，并在诸如缓冲区大小有限或参与者自私等受限条件下表现出优越性。
Delay-tolerant networking (DTN) architecture has emerged to cope up with loss of continuous connectivity issue that may occur under some environmental conditions such as infrastructure down due to disaster. Bundle protocols generally enhance network delay and reliability by storing and forwarding data-packed bundles on multiple nodes in the same time through flooding algorithm. On the other hand, the flooding mechanism usually incurs a consumption of resources. In this paper, we propose a robust routing protocol called BALANCE for self-organized civilian DTN. In civilian contexts, a resource constraint is a primary issue. So, our BALANCE sets an objective function to minimize the number of replications over networks by using a regression model for predicting future spreading effect considering the delivering probability. Since the device owners (civilian) could be selfish and decide not to store or forward any bundles, we further introduce a selfish factor applied together with our newly formulated SINR-based function to achieve the delivering probability. We conduct evaluations in stationary and mobile scenarios regarding disaster situations. The results show the highest traded-off values of delivering performance and resource consumption of the proposed protocol compared to widely-used protocols and present our superior in restricted conditions like limited buffer size or selfish participants.