Proceedings of the 2017 International Seminar on Artificial Intelligence, Networking and Information Technology (ANIT 2017)

Real-time Optimization of TCP/IP Protocol Stack in Local Area Network Environment

Authors
Chengcheng Yang, Yongchao Tao, Wencheng Xiang, Xianghu Wu
Corresponding Author
Chengcheng Yang
Available Online December 2017.
DOI
10.2991/anit-17.2018.34How to use a DOI?
Keywords
TCP/IP, real-time communication, LwIP protocol.
Abstract

As the basic protocol for Internet communication at present, TCP/IP, which offers a unified way to communicate through different nodes, is widely applied in various communication environments and has become the basis of Internet. But the original TCP/IP protocol is designed and realized for the transmission environment of WAN Internet, it is unable to optimal fit some communication environments which may have higher requirements of real-time. This paper focuses on local area communication environment, and makes an effort to research and realize the extended TCP/IP protocol.

Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2017 International Seminar on Artificial Intelligence, Networking and Information Technology (ANIT 2017)
Series
Advances in Intelligent Systems Research
Publication Date
December 2017
ISBN
10.2991/anit-17.2018.34
ISSN
1951-6851
DOI
10.2991/anit-17.2018.34How to use a DOI?
Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Chengcheng Yang
AU  - Yongchao Tao
AU  - Wencheng Xiang
AU  - Xianghu Wu
PY  - 2017/12
DA  - 2017/12
TI  - Real-time Optimization of TCP/IP Protocol Stack in Local Area Network Environment
BT  - Proceedings of the 2017 International Seminar on Artificial Intelligence, Networking and Information Technology (ANIT 2017)
PB  - Atlantis Press
SP  - 198
EP  - 202
SN  - 1951-6851
UR  - https://doi.org/10.2991/anit-17.2018.34
DO  - 10.2991/anit-17.2018.34
ID  - Yang2017/12
ER  -