Smart-TCP: An Agentic AI-based Autonomous and Adaptive TCP Protocol
Fuente:
arXiv
Salvato in:
| Autori principali: | , , |
|---|---|
| Natura: | Preprint |
| Pubblicazione: |
2025
|
| Soggetti: | |
| Accesso online: | |
| Tags: |
Aggiungi Tag
Nessun Tag, puoi essere il primo ad aggiungerne!!
|
| _version_ | 1866918224411492352 |
|---|---|
| author | Han, Yule Wang, Kezhi Yang, Kun |
| author_facet | Han, Yule Wang, Kezhi Yang, Kun |
| contents | The Transmission Control Protocol (TCP) relies on a state machine and deterministic arithmetic to ensure reliable connections. However, traditional protocol logic driven by hard-coded state machines struggles to meet the demands of intelligent and autonomous network architectures. Here, we adopt the agentic AI-based paradigm, driven by Large Language Models (LLMs), characterized by context perception, autonomous reasoning, and tool use. Based on this, we propose Smart-TCP, which re-imagines TCP's core control logic as an autonomous agent. Specifically, the proposed architecture employs a context aggregation mechanism to synthesize the protocol context, utilizes the LLM for autonomous logical reasoning, and invokes an Arithmetic Logic Unit (ALU) as a tool for computation. Furthermore, we establish a dual-agent interaction framework based on this architecture and implement TCP protocol interactions. Experiments demonstrate that the Smart-TCP agent excels in static prediction and error detection, achieving a 93.33% success rate in end-to-end sessions. These results strongly validate the technical feasibility of an agentic AI-based TCP protocol. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2512_00491 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Smart-TCP: An Agentic AI-based Autonomous and Adaptive TCP Protocol Han, Yule Wang, Kezhi Yang, Kun Networking and Internet Architecture The Transmission Control Protocol (TCP) relies on a state machine and deterministic arithmetic to ensure reliable connections. However, traditional protocol logic driven by hard-coded state machines struggles to meet the demands of intelligent and autonomous network architectures. Here, we adopt the agentic AI-based paradigm, driven by Large Language Models (LLMs), characterized by context perception, autonomous reasoning, and tool use. Based on this, we propose Smart-TCP, which re-imagines TCP's core control logic as an autonomous agent. Specifically, the proposed architecture employs a context aggregation mechanism to synthesize the protocol context, utilizes the LLM for autonomous logical reasoning, and invokes an Arithmetic Logic Unit (ALU) as a tool for computation. Furthermore, we establish a dual-agent interaction framework based on this architecture and implement TCP protocol interactions. Experiments demonstrate that the Smart-TCP agent excels in static prediction and error detection, achieving a 93.33% success rate in end-to-end sessions. These results strongly validate the technical feasibility of an agentic AI-based TCP protocol. |
| title | Smart-TCP: An Agentic AI-based Autonomous and Adaptive TCP Protocol |
| topic | Networking and Internet Architecture |
| url | https://arxiv.org/abs/2512.00491 |