• DocumentCode
    164245
  • Title

    Smart Sensor Protocol - a new standard for UAV and payload integration

  • Author

    Pires, Rayner M. ; Chaves, Arthur A. ; Branco, Kalinka R. L. J. C.

  • Author_Institution
    Inst. of Math. & Comput. Sci. (ICMC), Univ. of Sao Paulo (USP), Sao Carlos, Brazil
  • fYear
    2014
  • fDate
    27-30 May 2014
  • Firstpage
    1300
  • Lastpage
    1310
  • Abstract
    Due to the unmanned aerial vehicles versatility, the remarkable and growing use of these aircrafts nowadays has driven not only the expectations of that market values but also the amount of research in several related areas. Following forecasts of specialized roadmaps, these vehicles must evolve regarding both the maturity of the technology and the level of autonomous behavior. The organization of all the internal systems as a layered approach can make this evolution easier. Thus, by using the Mission-Oriented Sensors Array (MOSA) to decouple the mission from the aircraft control systems, the development of new applications for these vehicles can be benefited. Then the Smart Sensor Protocol (SSP) was developed in order to connect MOSA to UAV. All the grammar of the protocol was written using the Backus-Naur Form (BNF) and the communication over the SSP was modeled in UPPAAL tool using state diagrams. In this testing tool the system was mathematically described and tested using temporal logic rules.
  • Keywords
    aircraft control; autonomous aerial vehicles; Backus-Naur Form; MOSA; SSP; UAV; UPPAAL tool; aircraft control systems; aircrafts; autonomous behavior; internal systems; mission-oriented sensors array; payload integration; smart sensor protocol; state diagrams; temporal logic rules; unmanned aerial vehicles; Aerospace control; Aircraft; Atmospheric modeling; Intelligent sensors; Protocols; Vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Unmanned Aircraft Systems (ICUAS), 2014 International Conference on
  • Conference_Location
    Orlando, FL
  • Type

    conf

  • DOI
    10.1109/ICUAS.2014.6842388
  • Filename
    6842388