Using a linear gain to accelerate average consensus over unreliable networks

Francesco Acciani, Paolo Frasca, Geert Heijenk, Antonie Arij Stoorvogel

Research output: Contribution to conferencePaperAcademicpeer-review

1 Citation (Scopus)

Abstract

Packet loss is a serious issue in wireless consensus networks, as even few failures might prevent a network to converge to the correct value. However, it is possible to compensate for the errors caused by packet collisions, by modifying the updating weights. Such a modification compensates for the loss of information in an unreliable network, but results in a reduced convergence speed. In this paper, we propose a faster method — based on a suitable gain in the consensus dynamics — to solve the unreliable average consensus problem. We find a sufficient condition for the gain to preserve stability of the network. Simulations are used to discuss the choice of the gain, and to compare our method with the literature.
Original languageEnglish
Pages3569 - 3574
Number of pages6
DOIs
Publication statusPublished - 12 Dec 2017
Event56th IEEE Conference on Decision and Control, CDC 2017: CDC 2017 - Melbourne Convention Center, Melbourne, Australia
Duration: 12 Dec 201715 Dec 2017
Conference number: 56
http://cdc2017.ieeecss.org/

Conference

Conference56th IEEE Conference on Decision and Control, CDC 2017
Abbreviated titleCDC
CountryAustralia
CityMelbourne
Period12/12/1715/12/17
Internet address

Fingerprint

Packet loss
Wireless networks

Cite this

Acciani, F., Frasca, P., Heijenk, G., & Stoorvogel, A. A. (2017). Using a linear gain to accelerate average consensus over unreliable networks. 3569 - 3574. Paper presented at 56th IEEE Conference on Decision and Control, CDC 2017, Melbourne, Australia. https://doi.org/10.1109/CDC.2017.8264183
Acciani, Francesco ; Frasca, Paolo ; Heijenk, Geert ; Stoorvogel, Antonie Arij. / Using a linear gain to accelerate average consensus over unreliable networks. Paper presented at 56th IEEE Conference on Decision and Control, CDC 2017, Melbourne, Australia.6 p.
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Acciani, F, Frasca, P, Heijenk, G & Stoorvogel, AA 2017, 'Using a linear gain to accelerate average consensus over unreliable networks' Paper presented at 56th IEEE Conference on Decision and Control, CDC 2017, Melbourne, Australia, 12/12/17 - 15/12/17, pp. 3569 - 3574. https://doi.org/10.1109/CDC.2017.8264183

Using a linear gain to accelerate average consensus over unreliable networks. / Acciani, Francesco ; Frasca, Paolo ; Heijenk, Geert; Stoorvogel, Antonie Arij.

2017. 3569 - 3574 Paper presented at 56th IEEE Conference on Decision and Control, CDC 2017, Melbourne, Australia.

Research output: Contribution to conferencePaperAcademicpeer-review

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AB - Packet loss is a serious issue in wireless consensus networks, as even few failures might prevent a network to converge to the correct value. However, it is possible to compensate for the errors caused by packet collisions, by modifying the updating weights. Such a modification compensates for the loss of information in an unreliable network, but results in a reduced convergence speed. In this paper, we propose a faster method — based on a suitable gain in the consensus dynamics — to solve the unreliable average consensus problem. We find a sufficient condition for the gain to preserve stability of the network. Simulations are used to discuss the choice of the gain, and to compare our method with the literature.

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Acciani F, Frasca P, Heijenk G, Stoorvogel AA. Using a linear gain to accelerate average consensus over unreliable networks. 2017. Paper presented at 56th IEEE Conference on Decision and Control, CDC 2017, Melbourne, Australia. https://doi.org/10.1109/CDC.2017.8264183