Adaptive consensus of wireless sensor networks under local measurement by a sink node
In this paper, consensus problem is investigated for a class of discrete-time wireless sensor networks, with which the topologies are connected. Each sensor updates its state that is based on the states of itself and its neighbours, the information that each sensor received is corrupted by additive...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Mou, Jinping [verfasserIn] |
|---|
| Format: |
Artikel |
|---|---|
| Sprache: |
Englisch |
| Erschienen: |
2015 |
|---|
| Rechteinformationen: |
Nutzungsrecht: © 2014 Taylor & Francis 2014 |
|---|
| Schlagwörter: |
|---|
| Übergeordnetes Werk: |
Enthalten in: International journal of control - London : Taylor & Francis, 1965, 88(2015), 2, Seite 256-8 |
|---|---|
| Übergeordnetes Werk: |
volume:88 ; year:2015 ; number:2 ; pages:256-8 |
| Links: |
|---|
| DOI / URN: |
10.1080/00207179.2014.948916 |
|---|
| Katalog-ID: |
OLC1962645398 |
|---|
| LEADER | 01000caa a2200265 4500 | ||
|---|---|---|---|
| 001 | OLC1962645398 | ||
| 003 | DE-627 | ||
| 005 | 20230714155905.0 | ||
| 007 | tu | ||
| 008 | 160206s2015 xx ||||| 00| ||eng c | ||
| 024 | 7 | |a 10.1080/00207179.2014.948916 |2 doi | |
| 028 | 5 | 2 | |a PQ20160617 |
| 035 | |a (DE-627)OLC1962645398 | ||
| 035 | |a (DE-599)GBVOLC1962645398 | ||
| 035 | |a (PRQ)c2354-c6773ebad0080d7e37acadb4c6129475e245036310175d68732542743530aedb0 | ||
| 035 | |a (KEY)0006630320150000088000200256adaptiveconsensusofwirelesssensornetworksunderloca | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
| 041 | |a eng | ||
| 082 | 0 | 4 | |a 620 |q DNB |
| 100 | 1 | |a Mou, Jinping |e verfasserin |4 aut | |
| 245 | 1 | 0 | |a Adaptive consensus of wireless sensor networks under local measurement by a sink node |
| 264 | 1 | |c 2015 | |
| 336 | |a Text |b txt |2 rdacontent | ||
| 337 | |a ohne Hilfsmittel zu benutzen |b n |2 rdamedia | ||
| 338 | |a Band |b nc |2 rdacarrier | ||
| 520 | |a In this paper, consensus problem is investigated for a class of discrete-time wireless sensor networks, with which the topologies are connected. Each sensor updates its state that is based on the states of itself and its neighbours, the information that each sensor received is corrupted by additive noise, and data can be gotten by a sink node directly or indirectly. Based on the local measurement among the sink node and its neighbours, an expected state is provided. According to errors among the expected state and the states of all sensors, the adaptive consensus protocols are provided. By Gershgorin's theorem and the Lyapunov functional method, a sufficient condition has been derived to ensure system to achieve the expected value. Simulation results are provided to verify the reliability of the proposed methods. | ||
| 540 | |a Nutzungsrecht: © 2014 Taylor & Francis 2014 | ||
| 650 | 4 | |a local measurement | |
| 650 | 4 | |a adaptive consensus | |
| 650 | 4 | |a wireless sensor networks | |
| 650 | 4 | |a sink node | |
| 650 | 4 | |a Manufacturing | |
| 650 | 4 | |a Sensors | |
| 700 | 1 | |a Ge, Huafeng |4 oth | |
| 773 | 0 | 8 | |i Enthalten in |t International journal of control |d London : Taylor & Francis, 1965 |g 88(2015), 2, Seite 256-8 |w (DE-627)129595780 |w (DE-600)240693-7 |w (DE-576)015088804 |x 0020-7179 |7 nnns |
| 773 | 1 | 8 | |g volume:88 |g year:2015 |g number:2 |g pages:256-8 |
| 856 | 4 | 1 | |u http://dx.doi.org/10.1080/00207179.2014.948916 |3 Volltext |
| 856 | 4 | 2 | |u http://www.tandfonline.com/doi/abs/10.1080/00207179.2014.948916 |
| 856 | 4 | 2 | |u http://search.proquest.com/docview/1640675311 |
| 912 | |a GBV_USEFLAG_A | ||
| 912 | |a SYSFLAG_A | ||
| 912 | |a GBV_OLC | ||
| 912 | |a SSG-OLC-TEC | ||
| 912 | |a GBV_ILN_21 | ||
| 912 | |a GBV_ILN_70 | ||
| 912 | |a GBV_ILN_2020 | ||
| 912 | |a GBV_ILN_4314 | ||
| 912 | |a GBV_ILN_4318 | ||
| 912 | |a GBV_ILN_4700 | ||
| 951 | |a AR | ||
| 952 | |d 88 |j 2015 |e 2 |h 256-8 | ||
| author_variant |
j m jm |
|---|---|
| matchkey_str |
article:00207179:2015----::dpieosnuowrlssnontokudroama |
| hierarchy_sort_str |
2015 |
| publishDate |
2015 |
| allfields |
10.1080/00207179.2014.948916 doi PQ20160617 (DE-627)OLC1962645398 (DE-599)GBVOLC1962645398 (PRQ)c2354-c6773ebad0080d7e37acadb4c6129475e245036310175d68732542743530aedb0 (KEY)0006630320150000088000200256adaptiveconsensusofwirelesssensornetworksunderloca DE-627 ger DE-627 rakwb eng 620 DNB Mou, Jinping verfasserin aut Adaptive consensus of wireless sensor networks under local measurement by a sink node 2015 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier In this paper, consensus problem is investigated for a class of discrete-time wireless sensor networks, with which the topologies are connected. Each sensor updates its state that is based on the states of itself and its neighbours, the information that each sensor received is corrupted by additive noise, and data can be gotten by a sink node directly or indirectly. Based on the local measurement among the sink node and its neighbours, an expected state is provided. According to errors among the expected state and the states of all sensors, the adaptive consensus protocols are provided. By Gershgorin's theorem and the Lyapunov functional method, a sufficient condition has been derived to ensure system to achieve the expected value. Simulation results are provided to verify the reliability of the proposed methods. Nutzungsrecht: © 2014 Taylor & Francis 2014 local measurement adaptive consensus wireless sensor networks sink node Manufacturing Sensors Ge, Huafeng oth Enthalten in International journal of control London : Taylor & Francis, 1965 88(2015), 2, Seite 256-8 (DE-627)129595780 (DE-600)240693-7 (DE-576)015088804 0020-7179 nnns volume:88 year:2015 number:2 pages:256-8 http://dx.doi.org/10.1080/00207179.2014.948916 Volltext http://www.tandfonline.com/doi/abs/10.1080/00207179.2014.948916 http://search.proquest.com/docview/1640675311 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC GBV_ILN_21 GBV_ILN_70 GBV_ILN_2020 GBV_ILN_4314 GBV_ILN_4318 GBV_ILN_4700 AR 88 2015 2 256-8 |
| spelling |
10.1080/00207179.2014.948916 doi PQ20160617 (DE-627)OLC1962645398 (DE-599)GBVOLC1962645398 (PRQ)c2354-c6773ebad0080d7e37acadb4c6129475e245036310175d68732542743530aedb0 (KEY)0006630320150000088000200256adaptiveconsensusofwirelesssensornetworksunderloca DE-627 ger DE-627 rakwb eng 620 DNB Mou, Jinping verfasserin aut Adaptive consensus of wireless sensor networks under local measurement by a sink node 2015 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier In this paper, consensus problem is investigated for a class of discrete-time wireless sensor networks, with which the topologies are connected. Each sensor updates its state that is based on the states of itself and its neighbours, the information that each sensor received is corrupted by additive noise, and data can be gotten by a sink node directly or indirectly. Based on the local measurement among the sink node and its neighbours, an expected state is provided. According to errors among the expected state and the states of all sensors, the adaptive consensus protocols are provided. By Gershgorin's theorem and the Lyapunov functional method, a sufficient condition has been derived to ensure system to achieve the expected value. Simulation results are provided to verify the reliability of the proposed methods. Nutzungsrecht: © 2014 Taylor & Francis 2014 local measurement adaptive consensus wireless sensor networks sink node Manufacturing Sensors Ge, Huafeng oth Enthalten in International journal of control London : Taylor & Francis, 1965 88(2015), 2, Seite 256-8 (DE-627)129595780 (DE-600)240693-7 (DE-576)015088804 0020-7179 nnns volume:88 year:2015 number:2 pages:256-8 http://dx.doi.org/10.1080/00207179.2014.948916 Volltext http://www.tandfonline.com/doi/abs/10.1080/00207179.2014.948916 http://search.proquest.com/docview/1640675311 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC GBV_ILN_21 GBV_ILN_70 GBV_ILN_2020 GBV_ILN_4314 GBV_ILN_4318 GBV_ILN_4700 AR 88 2015 2 256-8 |
| allfields_unstemmed |
10.1080/00207179.2014.948916 doi PQ20160617 (DE-627)OLC1962645398 (DE-599)GBVOLC1962645398 (PRQ)c2354-c6773ebad0080d7e37acadb4c6129475e245036310175d68732542743530aedb0 (KEY)0006630320150000088000200256adaptiveconsensusofwirelesssensornetworksunderloca DE-627 ger DE-627 rakwb eng 620 DNB Mou, Jinping verfasserin aut Adaptive consensus of wireless sensor networks under local measurement by a sink node 2015 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier In this paper, consensus problem is investigated for a class of discrete-time wireless sensor networks, with which the topologies are connected. Each sensor updates its state that is based on the states of itself and its neighbours, the information that each sensor received is corrupted by additive noise, and data can be gotten by a sink node directly or indirectly. Based on the local measurement among the sink node and its neighbours, an expected state is provided. According to errors among the expected state and the states of all sensors, the adaptive consensus protocols are provided. By Gershgorin's theorem and the Lyapunov functional method, a sufficient condition has been derived to ensure system to achieve the expected value. Simulation results are provided to verify the reliability of the proposed methods. Nutzungsrecht: © 2014 Taylor & Francis 2014 local measurement adaptive consensus wireless sensor networks sink node Manufacturing Sensors Ge, Huafeng oth Enthalten in International journal of control London : Taylor & Francis, 1965 88(2015), 2, Seite 256-8 (DE-627)129595780 (DE-600)240693-7 (DE-576)015088804 0020-7179 nnns volume:88 year:2015 number:2 pages:256-8 http://dx.doi.org/10.1080/00207179.2014.948916 Volltext http://www.tandfonline.com/doi/abs/10.1080/00207179.2014.948916 http://search.proquest.com/docview/1640675311 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC GBV_ILN_21 GBV_ILN_70 GBV_ILN_2020 GBV_ILN_4314 GBV_ILN_4318 GBV_ILN_4700 AR 88 2015 2 256-8 |
| allfieldsGer |
10.1080/00207179.2014.948916 doi PQ20160617 (DE-627)OLC1962645398 (DE-599)GBVOLC1962645398 (PRQ)c2354-c6773ebad0080d7e37acadb4c6129475e245036310175d68732542743530aedb0 (KEY)0006630320150000088000200256adaptiveconsensusofwirelesssensornetworksunderloca DE-627 ger DE-627 rakwb eng 620 DNB Mou, Jinping verfasserin aut Adaptive consensus of wireless sensor networks under local measurement by a sink node 2015 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier In this paper, consensus problem is investigated for a class of discrete-time wireless sensor networks, with which the topologies are connected. Each sensor updates its state that is based on the states of itself and its neighbours, the information that each sensor received is corrupted by additive noise, and data can be gotten by a sink node directly or indirectly. Based on the local measurement among the sink node and its neighbours, an expected state is provided. According to errors among the expected state and the states of all sensors, the adaptive consensus protocols are provided. By Gershgorin's theorem and the Lyapunov functional method, a sufficient condition has been derived to ensure system to achieve the expected value. Simulation results are provided to verify the reliability of the proposed methods. Nutzungsrecht: © 2014 Taylor & Francis 2014 local measurement adaptive consensus wireless sensor networks sink node Manufacturing Sensors Ge, Huafeng oth Enthalten in International journal of control London : Taylor & Francis, 1965 88(2015), 2, Seite 256-8 (DE-627)129595780 (DE-600)240693-7 (DE-576)015088804 0020-7179 nnns volume:88 year:2015 number:2 pages:256-8 http://dx.doi.org/10.1080/00207179.2014.948916 Volltext http://www.tandfonline.com/doi/abs/10.1080/00207179.2014.948916 http://search.proquest.com/docview/1640675311 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC GBV_ILN_21 GBV_ILN_70 GBV_ILN_2020 GBV_ILN_4314 GBV_ILN_4318 GBV_ILN_4700 AR 88 2015 2 256-8 |
| allfieldsSound |
10.1080/00207179.2014.948916 doi PQ20160617 (DE-627)OLC1962645398 (DE-599)GBVOLC1962645398 (PRQ)c2354-c6773ebad0080d7e37acadb4c6129475e245036310175d68732542743530aedb0 (KEY)0006630320150000088000200256adaptiveconsensusofwirelesssensornetworksunderloca DE-627 ger DE-627 rakwb eng 620 DNB Mou, Jinping verfasserin aut Adaptive consensus of wireless sensor networks under local measurement by a sink node 2015 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier In this paper, consensus problem is investigated for a class of discrete-time wireless sensor networks, with which the topologies are connected. Each sensor updates its state that is based on the states of itself and its neighbours, the information that each sensor received is corrupted by additive noise, and data can be gotten by a sink node directly or indirectly. Based on the local measurement among the sink node and its neighbours, an expected state is provided. According to errors among the expected state and the states of all sensors, the adaptive consensus protocols are provided. By Gershgorin's theorem and the Lyapunov functional method, a sufficient condition has been derived to ensure system to achieve the expected value. Simulation results are provided to verify the reliability of the proposed methods. Nutzungsrecht: © 2014 Taylor & Francis 2014 local measurement adaptive consensus wireless sensor networks sink node Manufacturing Sensors Ge, Huafeng oth Enthalten in International journal of control London : Taylor & Francis, 1965 88(2015), 2, Seite 256-8 (DE-627)129595780 (DE-600)240693-7 (DE-576)015088804 0020-7179 nnns volume:88 year:2015 number:2 pages:256-8 http://dx.doi.org/10.1080/00207179.2014.948916 Volltext http://www.tandfonline.com/doi/abs/10.1080/00207179.2014.948916 http://search.proquest.com/docview/1640675311 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC GBV_ILN_21 GBV_ILN_70 GBV_ILN_2020 GBV_ILN_4314 GBV_ILN_4318 GBV_ILN_4700 AR 88 2015 2 256-8 |
| language |
English |
| source |
Enthalten in International journal of control 88(2015), 2, Seite 256-8 volume:88 year:2015 number:2 pages:256-8 |
| sourceStr |
Enthalten in International journal of control 88(2015), 2, Seite 256-8 volume:88 year:2015 number:2 pages:256-8 |
| format_phy_str_mv |
Article |
| institution |
findex.gbv.de |
| topic_facet |
local measurement adaptive consensus wireless sensor networks sink node Manufacturing Sensors |
| dewey-raw |
620 |
| isfreeaccess_bool |
false |
| container_title |
International journal of control |
| authorswithroles_txt_mv |
Mou, Jinping @@aut@@ Ge, Huafeng @@oth@@ |
| publishDateDaySort_date |
2015-01-01T00:00:00Z |
| hierarchy_top_id |
129595780 |
| dewey-sort |
3620 |
| id |
OLC1962645398 |
| language_de |
englisch |
| fullrecord |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a2200265 4500</leader><controlfield tag="001">OLC1962645398</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230714155905.0</controlfield><controlfield tag="007">tu</controlfield><controlfield tag="008">160206s2015 xx ||||| 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1080/00207179.2014.948916</subfield><subfield code="2">doi</subfield></datafield><datafield tag="028" ind1="5" ind2="2"><subfield code="a">PQ20160617</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)OLC1962645398</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)GBVOLC1962645398</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(PRQ)c2354-c6773ebad0080d7e37acadb4c6129475e245036310175d68732542743530aedb0</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(KEY)0006630320150000088000200256adaptiveconsensusofwirelesssensornetworksunderloca</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">620</subfield><subfield code="q">DNB</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Mou, Jinping</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Adaptive consensus of wireless sensor networks under local measurement by a sink node</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2015</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">ohne Hilfsmittel zu benutzen</subfield><subfield code="b">n</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Band</subfield><subfield code="b">nc</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">In this paper, consensus problem is investigated for a class of discrete-time wireless sensor networks, with which the topologies are connected. Each sensor updates its state that is based on the states of itself and its neighbours, the information that each sensor received is corrupted by additive noise, and data can be gotten by a sink node directly or indirectly. Based on the local measurement among the sink node and its neighbours, an expected state is provided. According to errors among the expected state and the states of all sensors, the adaptive consensus protocols are provided. By Gershgorin's theorem and the Lyapunov functional method, a sufficient condition has been derived to ensure system to achieve the expected value. Simulation results are provided to verify the reliability of the proposed methods.</subfield></datafield><datafield tag="540" ind1=" " ind2=" "><subfield code="a">Nutzungsrecht: © 2014 Taylor & Francis 2014</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">local measurement</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">adaptive consensus</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">wireless sensor networks</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">sink node</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Manufacturing</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Sensors</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Ge, Huafeng</subfield><subfield code="4">oth</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">International journal of control</subfield><subfield code="d">London : Taylor & Francis, 1965</subfield><subfield code="g">88(2015), 2, Seite 256-8</subfield><subfield code="w">(DE-627)129595780</subfield><subfield code="w">(DE-600)240693-7</subfield><subfield code="w">(DE-576)015088804</subfield><subfield code="x">0020-7179</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:88</subfield><subfield code="g">year:2015</subfield><subfield code="g">number:2</subfield><subfield code="g">pages:256-8</subfield></datafield><datafield tag="856" ind1="4" ind2="1"><subfield code="u">http://dx.doi.org/10.1080/00207179.2014.948916</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="u">http://www.tandfonline.com/doi/abs/10.1080/00207179.2014.948916</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="u">http://search.proquest.com/docview/1640675311</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_OLC</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-TEC</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_21</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_70</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2020</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4314</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4318</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4700</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">88</subfield><subfield code="j">2015</subfield><subfield code="e">2</subfield><subfield code="h">256-8</subfield></datafield></record></collection>
|
| author |
Mou, Jinping |
| spellingShingle |
Mou, Jinping ddc 620 misc local measurement misc adaptive consensus misc wireless sensor networks misc sink node misc Manufacturing misc Sensors Adaptive consensus of wireless sensor networks under local measurement by a sink node |
| authorStr |
Mou, Jinping |
| ppnlink_with_tag_str_mv |
@@773@@(DE-627)129595780 |
| format |
Article |
| dewey-ones |
620 - Engineering & allied operations |
| delete_txt_mv |
keep |
| author_role |
aut |
| collection |
OLC |
| remote_str |
false |
| illustrated |
Not Illustrated |
| issn |
0020-7179 |
| topic_title |
620 DNB Adaptive consensus of wireless sensor networks under local measurement by a sink node local measurement adaptive consensus wireless sensor networks sink node Manufacturing Sensors |
| topic |
ddc 620 misc local measurement misc adaptive consensus misc wireless sensor networks misc sink node misc Manufacturing misc Sensors |
| topic_unstemmed |
ddc 620 misc local measurement misc adaptive consensus misc wireless sensor networks misc sink node misc Manufacturing misc Sensors |
| topic_browse |
ddc 620 misc local measurement misc adaptive consensus misc wireless sensor networks misc sink node misc Manufacturing misc Sensors |
| format_facet |
Aufsätze Gedruckte Aufsätze |
| format_main_str_mv |
Text Zeitschrift/Artikel |
| carriertype_str_mv |
nc |
| author2_variant |
h g hg |
| hierarchy_parent_title |
International journal of control |
| hierarchy_parent_id |
129595780 |
| dewey-tens |
620 - Engineering |
| hierarchy_top_title |
International journal of control |
| isfreeaccess_txt |
false |
| familylinks_str_mv |
(DE-627)129595780 (DE-600)240693-7 (DE-576)015088804 |
| title |
Adaptive consensus of wireless sensor networks under local measurement by a sink node |
| ctrlnum |
(DE-627)OLC1962645398 (DE-599)GBVOLC1962645398 (PRQ)c2354-c6773ebad0080d7e37acadb4c6129475e245036310175d68732542743530aedb0 (KEY)0006630320150000088000200256adaptiveconsensusofwirelesssensornetworksunderloca |
| title_full |
Adaptive consensus of wireless sensor networks under local measurement by a sink node |
| author_sort |
Mou, Jinping |
| journal |
International journal of control |
| journalStr |
International journal of control |
| lang_code |
eng |
| isOA_bool |
false |
| dewey-hundreds |
600 - Technology |
| recordtype |
marc |
| publishDateSort |
2015 |
| contenttype_str_mv |
txt |
| container_start_page |
256 |
| author_browse |
Mou, Jinping |
| container_volume |
88 |
| class |
620 DNB |
| format_se |
Aufsätze |
| author-letter |
Mou, Jinping |
| doi_str_mv |
10.1080/00207179.2014.948916 |
| dewey-full |
620 |
| title_sort |
adaptive consensus of wireless sensor networks under local measurement by a sink node |
| title_auth |
Adaptive consensus of wireless sensor networks under local measurement by a sink node |
| abstract |
In this paper, consensus problem is investigated for a class of discrete-time wireless sensor networks, with which the topologies are connected. Each sensor updates its state that is based on the states of itself and its neighbours, the information that each sensor received is corrupted by additive noise, and data can be gotten by a sink node directly or indirectly. Based on the local measurement among the sink node and its neighbours, an expected state is provided. According to errors among the expected state and the states of all sensors, the adaptive consensus protocols are provided. By Gershgorin's theorem and the Lyapunov functional method, a sufficient condition has been derived to ensure system to achieve the expected value. Simulation results are provided to verify the reliability of the proposed methods. |
| abstractGer |
In this paper, consensus problem is investigated for a class of discrete-time wireless sensor networks, with which the topologies are connected. Each sensor updates its state that is based on the states of itself and its neighbours, the information that each sensor received is corrupted by additive noise, and data can be gotten by a sink node directly or indirectly. Based on the local measurement among the sink node and its neighbours, an expected state is provided. According to errors among the expected state and the states of all sensors, the adaptive consensus protocols are provided. By Gershgorin's theorem and the Lyapunov functional method, a sufficient condition has been derived to ensure system to achieve the expected value. Simulation results are provided to verify the reliability of the proposed methods. |
| abstract_unstemmed |
In this paper, consensus problem is investigated for a class of discrete-time wireless sensor networks, with which the topologies are connected. Each sensor updates its state that is based on the states of itself and its neighbours, the information that each sensor received is corrupted by additive noise, and data can be gotten by a sink node directly or indirectly. Based on the local measurement among the sink node and its neighbours, an expected state is provided. According to errors among the expected state and the states of all sensors, the adaptive consensus protocols are provided. By Gershgorin's theorem and the Lyapunov functional method, a sufficient condition has been derived to ensure system to achieve the expected value. Simulation results are provided to verify the reliability of the proposed methods. |
| collection_details |
GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC GBV_ILN_21 GBV_ILN_70 GBV_ILN_2020 GBV_ILN_4314 GBV_ILN_4318 GBV_ILN_4700 |
| container_issue |
2 |
| title_short |
Adaptive consensus of wireless sensor networks under local measurement by a sink node |
| url |
http://dx.doi.org/10.1080/00207179.2014.948916 http://www.tandfonline.com/doi/abs/10.1080/00207179.2014.948916 http://search.proquest.com/docview/1640675311 |
| remote_bool |
false |
| author2 |
Ge, Huafeng |
| author2Str |
Ge, Huafeng |
| ppnlink |
129595780 |
| mediatype_str_mv |
n |
| isOA_txt |
false |
| hochschulschrift_bool |
false |
| author2_role |
oth |
| doi_str |
10.1080/00207179.2014.948916 |
| up_date |
2024-07-04T04:01:03.257Z |
| _version_ |
1803619572916420608 |
| fullrecord_marcxml |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a2200265 4500</leader><controlfield tag="001">OLC1962645398</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230714155905.0</controlfield><controlfield tag="007">tu</controlfield><controlfield tag="008">160206s2015 xx ||||| 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1080/00207179.2014.948916</subfield><subfield code="2">doi</subfield></datafield><datafield tag="028" ind1="5" ind2="2"><subfield code="a">PQ20160617</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)OLC1962645398</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)GBVOLC1962645398</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(PRQ)c2354-c6773ebad0080d7e37acadb4c6129475e245036310175d68732542743530aedb0</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(KEY)0006630320150000088000200256adaptiveconsensusofwirelesssensornetworksunderloca</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">620</subfield><subfield code="q">DNB</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Mou, Jinping</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Adaptive consensus of wireless sensor networks under local measurement by a sink node</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2015</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">ohne Hilfsmittel zu benutzen</subfield><subfield code="b">n</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Band</subfield><subfield code="b">nc</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">In this paper, consensus problem is investigated for a class of discrete-time wireless sensor networks, with which the topologies are connected. Each sensor updates its state that is based on the states of itself and its neighbours, the information that each sensor received is corrupted by additive noise, and data can be gotten by a sink node directly or indirectly. Based on the local measurement among the sink node and its neighbours, an expected state is provided. According to errors among the expected state and the states of all sensors, the adaptive consensus protocols are provided. By Gershgorin's theorem and the Lyapunov functional method, a sufficient condition has been derived to ensure system to achieve the expected value. Simulation results are provided to verify the reliability of the proposed methods.</subfield></datafield><datafield tag="540" ind1=" " ind2=" "><subfield code="a">Nutzungsrecht: © 2014 Taylor & Francis 2014</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">local measurement</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">adaptive consensus</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">wireless sensor networks</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">sink node</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Manufacturing</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Sensors</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Ge, Huafeng</subfield><subfield code="4">oth</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">International journal of control</subfield><subfield code="d">London : Taylor & Francis, 1965</subfield><subfield code="g">88(2015), 2, Seite 256-8</subfield><subfield code="w">(DE-627)129595780</subfield><subfield code="w">(DE-600)240693-7</subfield><subfield code="w">(DE-576)015088804</subfield><subfield code="x">0020-7179</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:88</subfield><subfield code="g">year:2015</subfield><subfield code="g">number:2</subfield><subfield code="g">pages:256-8</subfield></datafield><datafield tag="856" ind1="4" ind2="1"><subfield code="u">http://dx.doi.org/10.1080/00207179.2014.948916</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="u">http://www.tandfonline.com/doi/abs/10.1080/00207179.2014.948916</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="u">http://search.proquest.com/docview/1640675311</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_OLC</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-TEC</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_21</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_70</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2020</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4314</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4318</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4700</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">88</subfield><subfield code="j">2015</subfield><subfield code="e">2</subfield><subfield code="h">256-8</subfield></datafield></record></collection>
|
| score |
7.400215 |