An energy-aware redistribution method for multi-agent dynamic coverage networks.
An energy-aware redistribution method for multi-agent dynamic coverage networks.
CDC
@inproceedings{DBLP:conf/cdc/BentzP16,
author = {William Bentz and
Dimitra Panagou},
title = {An energy-aware redistribution method for multi-agent dynamic coverage
networks},
booktitle = {55th {IEEE} Conference on Decision and Control, {CDC} 2016, Las Vegas,
NV, USA, December 12-14, 2016},
pages = {2644--2651},
publisher = {{IEEE}},
year = {2016},
url = {https://doi.org/10.1109/CDC.2016.7798661},
doi = {10.1109/CDC.2016.7798661},
timestamp = {Fri, 04 Mar 2022 13:29:43 +0100},
biburl = {https://dblp.org/rec/conf/cdc/BentzP16.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
Abstract
This paper considers dynamic coverage control of unicycle multi-agent systems under power constraints. The agents under consideration implement a visually based patrol protocol. They observe their environment via forward-facing conical anisotropic sensing regions. A local coverage control strategy is presented that allows for the cooperative search of a domain while maintaining collision avoidance guarantees using a novel control method based on the coverage level. Additionally, a novel energy-aware global coverage technique is introduced that restricts the operating range of power-constrained agents while shifting the network redistribution effort onto less constrained agents. The results of several scenarios are presented in simulation to illustrate the efficacy of these algorithms.
Authors
Bib
@inproceedings{DBLP:conf/cdc/BentzP16, author = {William Bentz and Dimitra Panagou}, title = {An energy-aware redistribution method for multi-agent dynamic coverage networks}, booktitle = {55th {IEEE} Conference on Decision and Control, {CDC} 2016, Las Vegas, NV, USA, December 12-14, 2016}, pages = {2644--2651}, publisher = {{IEEE}}, year = {2016}, url = {https://doi.org/10.1109/CDC.2016.7798661}, doi = {10.1109/CDC.2016.7798661}, timestamp = {Fri, 04 Mar 2022 13:29:43 +0100}, biburl = {https://dblp.org/rec/conf/cdc/BentzP16.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }