Self-Evolvable Protocol Design Using Genetic Algorithms

Wenbing Yao, Sheng-Uei Guan, Zhiqiang Jiang and Ilias Kiourktsidis
Additional contact information
Wenbing Yao: Huawei Technologies, UK
Sheng-Uei Guan: Xian Jiatong-Liverpool University, China
Zhiqiang Jiang: National University of Singapore, Singapore
Ilias Kiourktsidis: Brunel University, UK

International Journal of Applied Evolutionary Computation (IJAEC), 2010, vol. 1, issue 1, 36-56

Abstract: Self-modifying protocols (SMP) are protocols that can be modified at run time by the computers using them. Such protocols can be modified at run time so that they can adapt to the changing communicating environment and user requirements on the fly. Evolvable protocols are SMP designed using Genetic Algorithms (GA). The purpose of this paper is to apply Genetic Algorithms (GA) to design an evolvable protocol in order to equip communication peers with more autonomy and intelligence. The next-generation Internet will benefit from the concept of evolvable protocols. In this paper, we design a Self Evolvable Transaction Protocol (SETP) with a GA executor embedded. We then use the Network Simulator (NS2) to evaluate this evolvable protocol module to demonstrate the feasibility of our new design approach.

Date: 2010
References: Add references at CitEc
Citations:

Downloads: (external link)
http://services.igi-global.com/resolvedoi/resolve. ... 4018/jaec.2010010103 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:igg:jaec00:v:1:y:2010:i:1:p:36-56

Access Statistics for this article

International Journal of Applied Evolutionary Computation (IJAEC) is currently edited by Sukhpal Singh Gill

More articles in International Journal of Applied Evolutionary Computation (IJAEC) from IGI Global
Bibliographic data for series maintained by Journal Editor ().