Autonomously evolving communication protocols the case of multi-hop broadcast

Endre Sándor Varga, Bernát Wiandt, Borbála Katalin Benko, Vilmos Simon

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

While traditional telecommunication still relies on rigid, highly regulated, and highly controlled communication protocols, with the emergence of new forms of networks (mobile ad hoc and delay-tolerant networks, lacking central infrastructure and strict regulations) bio-inspired communication protocols have also found their way to success. In this chapter we introduce a nontraditional way of creating and shaping communication protocols, through an autonomous machine intelligence model, built upon on-line evolutionary methods such as natural selection and genetic programming. Creating a genetic programming language and a selection mechanism for multi-hop broadcast protocols in ad hoc networks, we show that this kind of approach can outperform traditional ones under given circumstances, offering a powerful alternative in the future.

Original languageEnglish
Title of host publicationBiologically Inspired Networking and Sensing
Subtitle of host publicationAlgorithms and Architectures
PublisherIGI Global
Pages183-204
Number of pages22
ISBN (Print)9781613500927
DOIs
Publication statusPublished - Dec 1 2011

    Fingerprint

ASJC Scopus subject areas

  • Agricultural and Biological Sciences(all)

Cite this

Varga, E. S., Wiandt, B., Benko, B. K., & Simon, V. (2011). Autonomously evolving communication protocols the case of multi-hop broadcast. In Biologically Inspired Networking and Sensing: Algorithms and Architectures (pp. 183-204). IGI Global. https://doi.org/10.4018/978-1-61350-092-7.ch010