Performance Analysis of a Network of Event-Based Systems
We consider a scenario where multiple event-based systems use a contention resolution mechanism (CRM) to communicate with their respective controllers over a wireless network. We present a Markov model that captures the joint interactions of the event-triggering policy and the CRM. This model is obt...
Ausführliche Beschreibung
Autor*in: |
Ramesh, Chithrupa [verfasserIn] |
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Format: |
Artikel |
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Sprache: |
Englisch |
Erschienen: |
2016 |
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Schlagwörter: |
Contention resolution mechanism (CRM) |
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Übergeordnetes Werk: |
Enthalten in: IEEE transactions on automatic control - New York, NY : Inst., 1963, 61(2016), 11, Seite 3568-3573 |
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Übergeordnetes Werk: |
volume:61 ; year:2016 ; number:11 ; pages:3568-3573 |
Links: |
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DOI / URN: |
10.1109/TAC.2016.2523422 |
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Katalog-ID: |
OLC1983986135 |
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520 | |a We consider a scenario where multiple event-based systems use a contention resolution mechanism (CRM) to communicate with their respective controllers over a wireless network. We present a Markov model that captures the joint interactions of the event-triggering policy and the CRM. This model is obtained by decoupling interactions between the different systems in the network, drawing inspiration from Bianchi's analysis of IEEE 802.11. We present Monte-Carlo simulations that validate our model under various network configurations, and verify the accuracy of the performance analysis. | ||
650 | 4 | |a Contention resolution mechanism (CRM) | |
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700 | 1 | |a Johansson, Karl H |4 oth | |
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10.1109/TAC.2016.2523422 doi PQ20161201 (DE-627)OLC1983986135 (DE-599)GBVOLC1983986135 (PRQ)c999-144f7a415fbc5579878921f571b1d53059491ab270f4dc10e60276b45e0b7bb50 (KEY)0005057120160000061001103568performanceanalysisofanetworkofeventbasedsystems DE-627 ger DE-627 rakwb eng 620 DNB Ramesh, Chithrupa verfasserin aut Performance Analysis of a Network of Event-Based Systems 2016 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier We consider a scenario where multiple event-based systems use a contention resolution mechanism (CRM) to communicate with their respective controllers over a wireless network. We present a Markov model that captures the joint interactions of the event-triggering policy and the CRM. This model is obtained by decoupling interactions between the different systems in the network, drawing inspiration from Bianchi's analysis of IEEE 802.11. We present Monte-Carlo simulations that validate our model under various network configurations, and verify the accuracy of the performance analysis. Contention resolution mechanism (CRM) Monte Carlo methods Reliability Steady-state Correlation Customer relationship management Analytical models Markov processes Sandberg, Henrik oth Johansson, Karl H oth Enthalten in IEEE transactions on automatic control New York, NY : Inst., 1963 61(2016), 11, Seite 3568-3573 (DE-627)129601705 (DE-600)241443-0 (DE-576)015095320 0018-9286 nnns volume:61 year:2016 number:11 pages:3568-3573 http://dx.doi.org/10.1109/TAC.2016.2523422 Volltext http://ieeexplore.ieee.org/document/7394122 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-MAT GBV_ILN_11 GBV_ILN_30 GBV_ILN_70 GBV_ILN_120 GBV_ILN_193 GBV_ILN_2014 GBV_ILN_2016 GBV_ILN_2333 GBV_ILN_4193 AR 61 2016 11 3568-3573 |
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10.1109/TAC.2016.2523422 doi PQ20161201 (DE-627)OLC1983986135 (DE-599)GBVOLC1983986135 (PRQ)c999-144f7a415fbc5579878921f571b1d53059491ab270f4dc10e60276b45e0b7bb50 (KEY)0005057120160000061001103568performanceanalysisofanetworkofeventbasedsystems DE-627 ger DE-627 rakwb eng 620 DNB Ramesh, Chithrupa verfasserin aut Performance Analysis of a Network of Event-Based Systems 2016 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier We consider a scenario where multiple event-based systems use a contention resolution mechanism (CRM) to communicate with their respective controllers over a wireless network. We present a Markov model that captures the joint interactions of the event-triggering policy and the CRM. This model is obtained by decoupling interactions between the different systems in the network, drawing inspiration from Bianchi's analysis of IEEE 802.11. We present Monte-Carlo simulations that validate our model under various network configurations, and verify the accuracy of the performance analysis. Contention resolution mechanism (CRM) Monte Carlo methods Reliability Steady-state Correlation Customer relationship management Analytical models Markov processes Sandberg, Henrik oth Johansson, Karl H oth Enthalten in IEEE transactions on automatic control New York, NY : Inst., 1963 61(2016), 11, Seite 3568-3573 (DE-627)129601705 (DE-600)241443-0 (DE-576)015095320 0018-9286 nnns volume:61 year:2016 number:11 pages:3568-3573 http://dx.doi.org/10.1109/TAC.2016.2523422 Volltext http://ieeexplore.ieee.org/document/7394122 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-MAT GBV_ILN_11 GBV_ILN_30 GBV_ILN_70 GBV_ILN_120 GBV_ILN_193 GBV_ILN_2014 GBV_ILN_2016 GBV_ILN_2333 GBV_ILN_4193 AR 61 2016 11 3568-3573 |
allfields_unstemmed |
10.1109/TAC.2016.2523422 doi PQ20161201 (DE-627)OLC1983986135 (DE-599)GBVOLC1983986135 (PRQ)c999-144f7a415fbc5579878921f571b1d53059491ab270f4dc10e60276b45e0b7bb50 (KEY)0005057120160000061001103568performanceanalysisofanetworkofeventbasedsystems DE-627 ger DE-627 rakwb eng 620 DNB Ramesh, Chithrupa verfasserin aut Performance Analysis of a Network of Event-Based Systems 2016 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier We consider a scenario where multiple event-based systems use a contention resolution mechanism (CRM) to communicate with their respective controllers over a wireless network. We present a Markov model that captures the joint interactions of the event-triggering policy and the CRM. This model is obtained by decoupling interactions between the different systems in the network, drawing inspiration from Bianchi's analysis of IEEE 802.11. We present Monte-Carlo simulations that validate our model under various network configurations, and verify the accuracy of the performance analysis. Contention resolution mechanism (CRM) Monte Carlo methods Reliability Steady-state Correlation Customer relationship management Analytical models Markov processes Sandberg, Henrik oth Johansson, Karl H oth Enthalten in IEEE transactions on automatic control New York, NY : Inst., 1963 61(2016), 11, Seite 3568-3573 (DE-627)129601705 (DE-600)241443-0 (DE-576)015095320 0018-9286 nnns volume:61 year:2016 number:11 pages:3568-3573 http://dx.doi.org/10.1109/TAC.2016.2523422 Volltext http://ieeexplore.ieee.org/document/7394122 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-MAT GBV_ILN_11 GBV_ILN_30 GBV_ILN_70 GBV_ILN_120 GBV_ILN_193 GBV_ILN_2014 GBV_ILN_2016 GBV_ILN_2333 GBV_ILN_4193 AR 61 2016 11 3568-3573 |
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10.1109/TAC.2016.2523422 doi PQ20161201 (DE-627)OLC1983986135 (DE-599)GBVOLC1983986135 (PRQ)c999-144f7a415fbc5579878921f571b1d53059491ab270f4dc10e60276b45e0b7bb50 (KEY)0005057120160000061001103568performanceanalysisofanetworkofeventbasedsystems DE-627 ger DE-627 rakwb eng 620 DNB Ramesh, Chithrupa verfasserin aut Performance Analysis of a Network of Event-Based Systems 2016 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier We consider a scenario where multiple event-based systems use a contention resolution mechanism (CRM) to communicate with their respective controllers over a wireless network. We present a Markov model that captures the joint interactions of the event-triggering policy and the CRM. This model is obtained by decoupling interactions between the different systems in the network, drawing inspiration from Bianchi's analysis of IEEE 802.11. We present Monte-Carlo simulations that validate our model under various network configurations, and verify the accuracy of the performance analysis. Contention resolution mechanism (CRM) Monte Carlo methods Reliability Steady-state Correlation Customer relationship management Analytical models Markov processes Sandberg, Henrik oth Johansson, Karl H oth Enthalten in IEEE transactions on automatic control New York, NY : Inst., 1963 61(2016), 11, Seite 3568-3573 (DE-627)129601705 (DE-600)241443-0 (DE-576)015095320 0018-9286 nnns volume:61 year:2016 number:11 pages:3568-3573 http://dx.doi.org/10.1109/TAC.2016.2523422 Volltext http://ieeexplore.ieee.org/document/7394122 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-MAT GBV_ILN_11 GBV_ILN_30 GBV_ILN_70 GBV_ILN_120 GBV_ILN_193 GBV_ILN_2014 GBV_ILN_2016 GBV_ILN_2333 GBV_ILN_4193 AR 61 2016 11 3568-3573 |
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10.1109/TAC.2016.2523422 doi PQ20161201 (DE-627)OLC1983986135 (DE-599)GBVOLC1983986135 (PRQ)c999-144f7a415fbc5579878921f571b1d53059491ab270f4dc10e60276b45e0b7bb50 (KEY)0005057120160000061001103568performanceanalysisofanetworkofeventbasedsystems DE-627 ger DE-627 rakwb eng 620 DNB Ramesh, Chithrupa verfasserin aut Performance Analysis of a Network of Event-Based Systems 2016 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier We consider a scenario where multiple event-based systems use a contention resolution mechanism (CRM) to communicate with their respective controllers over a wireless network. We present a Markov model that captures the joint interactions of the event-triggering policy and the CRM. This model is obtained by decoupling interactions between the different systems in the network, drawing inspiration from Bianchi's analysis of IEEE 802.11. We present Monte-Carlo simulations that validate our model under various network configurations, and verify the accuracy of the performance analysis. Contention resolution mechanism (CRM) Monte Carlo methods Reliability Steady-state Correlation Customer relationship management Analytical models Markov processes Sandberg, Henrik oth Johansson, Karl H oth Enthalten in IEEE transactions on automatic control New York, NY : Inst., 1963 61(2016), 11, Seite 3568-3573 (DE-627)129601705 (DE-600)241443-0 (DE-576)015095320 0018-9286 nnns volume:61 year:2016 number:11 pages:3568-3573 http://dx.doi.org/10.1109/TAC.2016.2523422 Volltext http://ieeexplore.ieee.org/document/7394122 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-MAT GBV_ILN_11 GBV_ILN_30 GBV_ILN_70 GBV_ILN_120 GBV_ILN_193 GBV_ILN_2014 GBV_ILN_2016 GBV_ILN_2333 GBV_ILN_4193 AR 61 2016 11 3568-3573 |
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We consider a scenario where multiple event-based systems use a contention resolution mechanism (CRM) to communicate with their respective controllers over a wireless network. We present a Markov model that captures the joint interactions of the event-triggering policy and the CRM. This model is obtained by decoupling interactions between the different systems in the network, drawing inspiration from Bianchi's analysis of IEEE 802.11. We present Monte-Carlo simulations that validate our model under various network configurations, and verify the accuracy of the performance analysis. |
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We consider a scenario where multiple event-based systems use a contention resolution mechanism (CRM) to communicate with their respective controllers over a wireless network. We present a Markov model that captures the joint interactions of the event-triggering policy and the CRM. This model is obtained by decoupling interactions between the different systems in the network, drawing inspiration from Bianchi's analysis of IEEE 802.11. We present Monte-Carlo simulations that validate our model under various network configurations, and verify the accuracy of the performance analysis. |
abstract_unstemmed |
We consider a scenario where multiple event-based systems use a contention resolution mechanism (CRM) to communicate with their respective controllers over a wireless network. We present a Markov model that captures the joint interactions of the event-triggering policy and the CRM. This model is obtained by decoupling interactions between the different systems in the network, drawing inspiration from Bianchi's analysis of IEEE 802.11. We present Monte-Carlo simulations that validate our model under various network configurations, and verify the accuracy of the performance analysis. |
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container_issue |
11 |
title_short |
Performance Analysis of a Network of Event-Based Systems |
url |
http://dx.doi.org/10.1109/TAC.2016.2523422 http://ieeexplore.ieee.org/document/7394122 |
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author2 |
Sandberg, Henrik Johansson, Karl H |
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Sandberg, Henrik Johansson, Karl H |
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doi_str |
10.1109/TAC.2016.2523422 |
up_date |
2024-07-03T22:45:41.846Z |
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