Energy-Aware Data Routing for Disruption Tolerant Networks in Planetary Cave Exploration. Vaquero, T.; Troesch, M.; Net, M. S.; Gao, J.; and Chien, S. In 11th International Workshop on Planning and Scheduling for Space (IWPSS), pages 186-193, Berkeley, CA, July, 2019. Also appears at the 29th International Conference on Automated Planning and Scheduling (ICAPS 2019) Workshop on Planning and Robotics (PlanRob)
Energy-Aware Data Routing for Disruption Tolerant Networks in Planetary Cave Exploration [pdf]Paper  abstract   bibtex   3 downloads  
Exploring subsurface structures with autonomous robots is of growing interest in the context of planetary caves studies. Communication in these environments can change rapidly as assets move around, which can complicate coordination among multiple assets. Limited lifetime must also be accounted for when exploring these subsurface structures, because it is likely that recharging the batteries of the robots will not be possible. The combination of uncertain communication and limited mission duration suggests that accounting for energy when transmitting data out of cave-like structures would be beneficial to mission success. Therefore, in this paper we investigate different energy-aware data routing strategies for multi-robot scenarios where asset lifetime is limited and benchmark their performance in a simulation environment.
@inproceedings{vaquero_et_al_iwpss2019_routing,
  author = {Tiago Vaquero and Martina Troesch and Marc Sanchez Net and Jay Gao and Steve Chien},
  title = {Energy-Aware Data Routing for Disruption Tolerant Networks in Planetary Cave Exploration},
  booktitle = {11th International Workshop on Planning and Scheduling for Space (IWPSS)},
  pages = {186-193},
  year = {2019},
  month = {July},
  address = {Berkeley, CA},
  abstract = {Exploring subsurface structures with autonomous robots is of growing interest in the context of planetary caves studies. Communication in these environments can change rapidly as assets move around, which can complicate coordination among multiple assets. Limited lifetime must also be accounted for when exploring these subsurface structures, because it is likely that recharging the batteries of the robots will not be possible. The combination of uncertain communication and limited mission duration suggests that accounting for energy when transmitting data out of cave-like structures would be beneficial to mission success. Therefore, in this paper we investigate different energy-aware data routing strategies for multi-robot scenarios where asset lifetime is limited and benchmark their performance in a simulation environment.},
  note = {Also appears at the 29th International Conference on Automated Planning and Scheduling (ICAPS 2019) Workshop on Planning and Robotics (PlanRob)},
  url = {https://ai.jpl.nasa.gov/public/papers/vaquero_et_al_iwpss2019_routing.pdf},
  clearance = {CL#19-3239},
  project = {CaveRovers}
}
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