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Fragmented Data Routing Based on Exponentially Distributed Contacts in Delay Tolerant Networks

机译:时延容忍网络中基于指数分布接触的分段数据路由

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Existing works in data forwarding in delay tolerant networks often simplify the data transmission during a contact between two network nodes. One common assumption is that once transmitted, messages will always successfully arrive at the encounter node in its entirety regardless of the contact duration. The other common assumption is that messages are unfragmented, and are successfully transmitted only if the contact duration is long enough. If the contact duration is too short, the transmission will not complete, and the message needs to be re-transmitted in its entirety in the next contact. While the first assumption is unrealistic, the second assumption makes the routing strategy inefficient for large data items in network environments where most contact durations are short. In this work, we eliminate the assumption of unfragmented data, and propose a single-copy fragmented data routing strategy (FDR) that performs well with short contact durations. FDR considers the exponential distribution of inter-contact time, contact duration time, and fragmented data sizes when making forwarding decisions. We show that under short contact durations and large message sizes, our scheme can achieve up to 37% higher delivery rate and 35% lower delay compared to other routing strategies.
机译:容错网络中数据转发中的现有工作通常简化了两个网络节点之间的联系期间的数据传输。一种常见的假设是,消息一旦发送,无论接触持续时间如何,消息将始终完整地成功完整地到达遇到节点。另一个常见的假设是消息是无碎片的,只有在联系持续时间足够长的情况下,消息才能成功传输。如果联系持续时间太短,则传输将无法完成,并且该消息需要在下一次联系中全部重新发送。尽管第一个假设不切实际,但第二个假设使路由策略对于大多数联系持续时间都很短的网络环境中的大型数据项效率低下。在这项工作中,我们消除了未碎片化数据的假设,并提出了一种在短接触时间内表现良好的单拷贝碎片化数据路由策略(FDR)。 FDR在制定转发决策时会考虑联系时间,联系持续时间和分散的数据大小的指数分布。我们显示,与其他路由策略相比,在较短的联系持续时间和较大的邮件大小下,我们的方案可以实现高达37%的传递速率和35%的延迟降低。

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