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Applying Artificial Intelligence to data communication protocols for In-vehicle communications in unmanned aerial vehicles

Grant number: 14/13713-8
Support type:Scholarships abroad - Research Internship - Doctorate
Effective date (Start): December 20, 2014
Effective date (End): December 19, 2015
Field of knowledge:Physical Sciences and Mathematics - Computer Science - Computer Systems
Principal researcher:Kalinka Regina Lucas Jaquie Castelo Branco
Grantee:Daniel Fernando Pigatto
Supervisor abroad: James Edward Smith
Home Institution: Instituto de Ciências Matemáticas e de Computação (ICMC). Universidade de São Paulo (USP). São Carlos , SP, Brazil
Research place: University of the West of England, Bristol, England  
Associated to the scholarship:12/16171-6 - Extending unmanned aerial aircrafts: specifying a mobile and safety-based data communication architecture, BP.DR

Abstract

Modern cars and airplanes are becoming a collection of interconnected embedded subsystems, where the mechanical parts are controlled by electronic ones and the vehicle is transformed into a mobile information system. However, there is a tendency of substituting wired connections for wireless ones, which will lead for the fly-by-wireless paradigm to become a reality in a few years. Efficient protocols for airplane internal nodes and modules communications must be implemented based on the scenario specific requirements. Intelligent techniques applied to these protocols could maximize the performance of information exchange and minimize the packet losses. The intelligent protocol that will be developed in this research investigation will be compared to other well known protocols and a detailed discussion about its application in a critical scenario such as in unmanned aircraft systems will be conducted as a result analysis. The conclusions may help developers of manned/unmanned autonomous/non-autonomous vehicles systems on decisions regarding internal wireless communications. Furthermore, the results may also help on external wireless communications with several adaptations. (AU)