Performance assessment of an IEEE 802.11-based protocol for real-time communication in agriculture

Federico Tramarin, Stefano Vitturi, Michele Luvisotto, Raffaele Parrozzani

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper investigates an original system for wireless control and monitoring of an agricultural machine. The system is implemented by means of an IEEE 802.11-based soft realtime communication architecture which enables the connection of the machine with off-the-shelf mobile devices, like widespread tablet PCs, that could hence replace traditional ad-hoc developed operator panels. The harsh surrounding environment, however, introduces severe requirements. Hence, focusing on the wireless communication behavior, the paper yields a thorough performance analysis derived by extensive experimental campaigns. By investigating the outcomes of these measurement sessions, the paper assesses some causes of performance degradation, and provides viable and easy to implement solutions to improve the overall system behavior.

Original languageEnglish
Title of host publication19th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Print)9781479948468
DOIs
Publication statusPublished - Jan 8 2014
Event19th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2014 - Barcelona, Spain
Duration: Sep 16 2014Sep 19 2014

Other

Other19th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2014
CountrySpain
CityBarcelona
Period9/16/149/19/14

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science Applications
  • Artificial Intelligence

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  • Cite this

    Tramarin, F., Vitturi, S., Luvisotto, M., & Parrozzani, R. (2014). Performance assessment of an IEEE 802.11-based protocol for real-time communication in agriculture. In 19th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2014 [7005304] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ETFA.2014.7005304