编码还是不编码：能量收集无线多跳网络中网络编码的使用时机与方式
To Code or Not to Code: When and How to Use Network Coding in Energy Harvesting Wireless Multi-hop Networks
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- Imam Khomeini International University（伊玛目霍梅尼国际大学）
机构由 AI 辅助整理，请以论文原文为准。
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中文总结 AI 辅助
本文提出ENCODE框架，结合最优停止理论和半马尔可夫决策过程，优化能量收集无线多跳网络中网络编码的时机与方式，以提升吞吐量、降低能耗和延迟。
中文摘要 AI 辅助
通信媒介中广播的特性推动了网络编码在无线网络中的普及。在多跳无线网络中采用网络编码带来了诸多益处，包括提高吞吐量、降低能耗以及减少端到端延迟。这些优势是传输次数最小化的直接结果。本文提出一个综合框架，用于在这些网络中采用网络编码。该框架同时优化编码节点和解码节点的决策过程。编码节点采用最优停止理论来确定数据包传输的最佳时机。与此同时，解码节点通过SMDP（半马尔可夫决策过程）问题建模，动态决定是关闭无线电单元以节省能量，还是保持活跃以通过侦听数据包来改善编码效果。所提出的框架名为ENCODE，使节点能够随时间学习何时以及如何使用网络编码。仿真结果将其性能与现有方法进行了比较。我们的仿真结果为在无线多跳网络中更有效地使用网络编码的时机和方式提供了新的见解。
英文摘要
The broadcast nature of communication in transmission media has driven the rise of network coding's popularity in wireless networks. Numerous benefits arise from employing network coding in multi-hop wireless networks, including enhanced throughput, reduced energy consumption, and decreased end-to-end delay. These advantages are a direct outcome of the minimized transmission count. This paper introduces a comprehensive framework to employ network coding in these networks. It refines decision-making at coding and decoding nodes simultaneously. The coding-nodes employ optimal stopping theory to find optimal moments for packet transmission. Meanwhile, the decoding-nodes dynamically decide, through SMDP (Semi Markov Decision Process) problem formulation, whether to conserve energy by deactivating radio units or to stay active for improved coding by overhearing packets. The proposed framework, named ENCODE, enables nodes to learn how and when to use network coding over time. Simulation results compare its performance with existing approaches. Our simulation results shed new light on when and how to use network coding in wireless multi-hop networks more effectively.
