论文标题
通过中继无人机对网络编码的数据收集和交付的解码概率分析
Decoding Probability Analysis of Network-Coded Data Collection and Delivery by Relay Drones
论文作者
论文摘要
延迟耐受性应用程序中的中继无人机被派往远程位置，以收集源节点传输的数据。收集的数据存储在无人机上，并传递到一个或多个基础上。本文认为，当没有反馈通道时，将两种用于将数据广播到无人机的方案：数据旋转木马和系统的随机线性线性网络编码（RLNC）。我们提出了一个理论框架，以计算基础完全或部分恢复传输数据的概率以及所有相关碱基将成功获得数据的概率，而当碱基被隔离或互连时。理论结果通过模拟得到验证。还讨论了设计注意事项，包括RLNC使用的场大小之间的关系，中继无人机的数量以及完整数据恢复的要求或至少部分数据的检索。
Relay drones in delay-tolerant applications are dispatched to remote locations in order to gather data transmitted by a source node. Collected data are stored on the drones and delivered to one or multiple bases. This paper considers two schemes for broadcasting data to drones when feedback channels are not available: a data carousel and systematic random linear network coding (RLNC). We propose a theoretical framework for the calculation of the probability that a base will fully or partially recover the transmitted data and the probability that all involved bases will successfully obtain the data, when the bases are either isolated or interconnected. Theoretical results are validated through simulations. Design considerations are also discussed, including the relationship among the field size used by RLNC, the number of relay drones and the requirement for full data recovery or the retrieval of at least part of the data.
