进入:一种基于偶遇的槽箱部署策略,通过DTN增强灾后场景下的网络可靠性

S. Bhattacharjee, S. Bit
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引用次数: 4

摘要

容延迟网络(Delay-tolerant network, DTN)已成为灾后通信中交换情景信息的可行选择。与稳定网络相比,DTN网络的可靠性取决于节点之间(包括移动和静态)的接触机会。更高程度的接触机会意味着改进消息传递,减少传递延迟,从而提高网络可靠性。为了提高节点间的接触机会程度,静态中继节点(Throwboxes)的部署被广泛采用。为了有效地部署Throwboxes,关于网络规模、网络拓扑和节点移动模式等网络参数的先验知识是必不可少的。然而,这些参数在灾后场景中的可用性变得具有挑战性。因此,在这项工作中,我们提出了一种基于偶遇的Throwbox部署策略EnTER。本文提出的策略试图建立DTN中接触机会程度与网络可靠性程度之间的经验关系。通过知识共享率和平均传递延迟来衡量网络的可靠性程度。这种关系有助于制定在灾后场景中部署Throwboxes的合适策略。通过实现现实的灾后场景进行的广泛模拟表明,我们提出的Throwbox部署策略在网络可靠性方面优于最先进的Throwbox部署策略之一。
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EnTER: an encounter based trowbox deployment strategy for enhancing network reliability in post-disaster scenarios over DTN
Delay-tolerant network (DTN) has been employed as a viable option for exchanging situational information during post-disaster communication. In contrast to stable network, network reliability in DTN depends on the contact opportunities among the nodes (both mobile and static). Higher degree of contact opportunity implies improved message delivery with reduced delivery latency, which results in enhanced network reliability. In order to improve the degree of contact opportunity among the nodes the deployment of static relay nodes (Throwboxes) has been widely adopted. In order to deploy Throwboxes effectively, prior knowledge regarding network parameters like scale of the network, network topology and mobility pattern of nodes etc. is essential. However, availability of such parameters in post disaster scenarios becomes challenging. Therefore, in this work, we propose an encounter based Throwbox deployment strategy EnTER. The proposed strategy attempts to formulate an empirical relationship between the degree of contact opportunity and extent of network reliability in DTN. The extent of network reliability is measured in terms of Knowledge Sharing Ratio and Average Delivery Latency. This relationship helps in formulating a suitable strategy for deploying Throwboxes in a post-disaster scenario. Extensive simulation by implementing a realistic post-disaster scenario reveals that our proposed Throwbox deployment strategy outperforms one of the state-of-the-art Throwbox deployment strategies in terms of network reliability.
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