Abstract
One of the challenging requirements of large multi-robot systems is scalable communication methods that are robust to noisy low-communication environments. On a multi-hop, wireless sensor network, it may be desirable for a node to issue a system-wide alert on detection of an event of interest. However, if there is a high false-positive rate, then system-wide false alarms may frequently occur. Giant honeybees (Apis dorsata) generate large-scale spiral waves triggered by the presence of a threat. Studies show that the initial seed of the waves and the re-transmission behavior are non-trivial and thus may be specially tuned for this low-communication scenario. Motivated by these adaptive patterns in giant honeybees, we develop a distributed approach for sharing awareness of critical events that is able to damp the propagation of false-alarm signals. We validate the algorithm’s performance for a WSN detecting a hostile UAV in the SCRIMMAGE simulation framework.
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This work was supported by DARPA under the Bio-Inspired Swarming seedling project, contract FA8651-17-F-1013.
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Bowers, K., Strickland, L., Cooke, G., Pippin, C., Pavlic, T.P. (2019). Trust-Based Information Propagation on Multi-robot Teams in Noisy Low-Communication Environments. In: Correll, N., Schwager, M., Otte, M. (eds) Distributed Autonomous Robotic Systems. Springer Proceedings in Advanced Robotics, vol 9. Springer, Cham. https://doi.org/10.1007/978-3-030-05816-6_17
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DOI: https://doi.org/10.1007/978-3-030-05816-6_17
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