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.
|Title of host publication||Biologically Inspired Networking and Sensing|
|Subtitle of host publication||Algorithms and Architectures|
|Number of pages||22|
|Publication status||Published - Dec 1 2011|
ASJC Scopus subject areas
- Agricultural and Biological Sciences(all)