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A Low-Latency Wireless Network for Cloud-Based Robot Control

  • Seyed Ali HassaniEmail author
  • Sofie Pollin
Conference paper
Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST, volume 261)

Abstract

We demonstrate a reliable network for robot remote control in which a cross-layer PHY-MAC architecture is exploited to establish a low-latency and time-critical data transmission. In our demo, three reverse pendulum robots share the spectrum to communicate their sensory data to a processing unit which can instantly generate and transmit appropriate commands to maintain the robots’ balance.

To this end, we upgrade CLAWS (Cross-Layer Adaptable Wireless System) with a two-layer MAC platform which accelerates and facilities interrupt handling. To grant the network operational reliability, we elaborately coupled the FPGA-based IEEE 802.15.4 PHY in the CLAWS architecture with a set of hardware blocks that play the role of the low-level MAC. CLAWS also offers a run-time programmable module in which we deploy the high-level functionalities of the MAC protocol. Jointly with the implemented bi-layer MAC structure, we demonstrate how the CLAWS’ flexibility allows either standard compliant or ad-hoc network prototyping to establish a reliable cloud-based robot remote control.

Keywords

Software-defined radio Cross-layer architecture Cloud-based processing 

Notes

Acknowledgement

This work was partially funded by the European Union’s Horizon 2020 under grant agreement no. 732174 (ORCA project).

References

  1. 1.
    Wu, H., et al.: The tick programmable low-latency SDR system. In: MobiCom, Snowbird, Utah, USA, October 2017Google Scholar
  2. 2.
    Popovski, P., et al.: Ultra-reliable low-latency communication (URLLC): principles and building blocks. CoRR, abs/1708.07862 (2017)Google Scholar
  3. 3.
    Van den Bergh, B., Vermeulen, T., Verhelst, M., Pollin, S.: CLAWS: cross-layer adaptable wireless system enabling full cross-layer experimentation on real-time software-defined 802.15. 4. EURASIP J. Wirel. Commun. Netw. 2014(1), 187 (2014)CrossRefGoogle Scholar
  4. 4.
    MicroBlaze soft processor. http://www.xilinx.com/tools/microblaze.htm.. Accessed 04 Apr 2018
  5. 5.
    Vermeulen, T., Van den Bergh, B., Pollin, S.: Demo: a software defined radio platform for rapid cross-layer prototyping, pp. 1–4 (2015)Google Scholar
  6. 6.
    Ni usrp-2942r - national instruments. http://sine.ni.com/nips/cds/view/p/lang/nl/nid/212434
  7. 7.

Copyright information

© ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2019

Authors and Affiliations

  1. 1.Department of Electrical EngineeringKU LeuvenHeverleeBelgium

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