> For the complete documentation index, see [llms.txt](https://axon-finance.gitbook.io/axon-finance-docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://axon-finance.gitbook.io/axon-finance-docs/huang-pi-shu-g-wang-luo-yu-xing-neng/g1-networking.md).

# G.1 网络层与交易传播

> **设计状态**：proposed design。网络参数（fanout、内存池大小）待基准。

## G.1.1 网络拓扑

AXON 节点组成一个**结构化 P2P 网络**：验证者间维持低延迟的近全连接（数量受控，$n \leq n\_{\max}$，[B.2.2](/axon-finance-docs/huang-pi-shu-b-gong-shi-yu-zhang-ben/b2-validators.md)），全节点/边缘节点经 gossip 覆盖网接入。共识消息（提议、投票、QC）走验证者子网以压低最终性延迟；交易与区块体走更广的 gossip 层。

## G.1.2 交易传播与内存池

客户端交易先经接入网关（[D.3](/axon-finance-docs/huang-pi-shu-d-jie-suan-wei-jia-he-gui/d3-compliance.md)）合规筛查，再进入**内存池（mempool）**。设计要点：

* **前置合规**：不合规交易在入池前即被拦，减少无效传播。
* **由排序层定序**：交易由 $\mathsf{Seq}$ 分配全局 seqNo（[B.4.1](/axon-finance-docs/huang-pi-shu-b-gong-shi-yu-zhang-ben/b4-sequencing.md)），领导者从**已定序流**取交易，而非从无序 mempool 自行挑选排序——这从网络层就压缩了 MEV/审查空间。
* **加密内存池（路线）**：交易可在定序前对排序器加密（阈值解密），进一步防抢跑（[F.3.1](/axon-finance-docs/huang-pi-shu-f-xie-yi-jing-ji-yu-an-quan/f3-security.md)）。

## G.1.3 区块传播

HotStuff 风格共识（[B.1](/axon-finance-docs/huang-pi-shu-b-gong-shi-yu-zhang-ben/b1-consensus.md)）以领导者为中继，通信复杂度 $O(n)$（配合 BLS 聚合，[A.2.3](/axon-finance-docs/huang-pi-shu-a-xi-tong-mo-xing-yu-mi-ma-xue/a2-cryptography.md)），避免全网 $O(n^2)$ 广播。大区块体的传播可用两项优化：

* **纠删码（erasure coding）**：区块分片 + 冗余编码，节点收到足够分片即可重建——抗丢包、降尾延迟。
* **压缩区块（compact blocks）**：因交易已在 mempool 传播，区块只需传交易标识 + 缺失项，节省带宽。

## G.1.4 数据可用性

验证者对区块投票前须确认**区块数据可用**（能取到全部交易以执行 $\delta$，[B.3.2](/axon-finance-docs/huang-pi-shu-b-gong-shi-yu-zhang-ben/b3-state.md)）——防止领导者提议一个「头有效但体不可得」的区块。纠删码 + 采样可让节点以低成本高概率确认数据可用性，是无状态/轻验证演进（[B.3.5](/axon-finance-docs/huang-pi-shu-b-gong-shi-yu-zhang-ben/b3-state.md)）的基础。

## G.1.5 网络与性能的关系

网络层是吞吐与延迟的物理下界：一跳延迟 $\delta\_{\text{net}}$ 决定最终性延迟（[B.1.7](/axon-finance-docs/huang-pi-shu-b-gong-shi-yu-zhang-ben/b1-consensus.md)），区块传播带宽决定区块大小上限、进而决定单区块交易数。[G.2](/axon-finance-docs/huang-pi-shu-g-wang-luo-yu-xing-neng/g2-performance.md) 把这些物理量组合成性能模型，推导 AXON 的性能设计目标。

***

*下一节：*[*G.2 性能模型与设计目标*](/axon-finance-docs/huang-pi-shu-g-wang-luo-yu-xing-neng/g2-performance.md)


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