Deadband Scheduling in Sensor Node and Controller Node for Wireless Networked Control Systems

Abstract A deadband scheduling method is proposed for wireless networked control system (WNCS), in which multiple loops share the same wireless network. The bandwidth of wireless network is very limited. The signal transmission among nodes vies for network resources, which will lead to the increase...
Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Tang, Yinqing [verfasserIn] Du, Feng [verfasserIn] Fang, Xianming [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2018

Schlagwörter:	Deadband scheduling Sensor node Controller node Wireless networked control systems (WNCS)

Übergeordnetes Werk:	Enthalten in: International journal of wireless information networks - New York, NY [u.a.] : Springer Science + Business Media B.V., 1994, 25(2018), 3 vom: 17. Jan., Seite 241-249
Übergeordnetes Werk:	volume:25 ; year:2018 ; number:3 ; day:17 ; month:01 ; pages:241-249

Links:	Volltext

DOI / URN:	10.1007/s10776-018-0384-5

Katalog-ID:	SPR013196596

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520			\|a Abstract A deadband scheduling method is proposed for wireless networked control system (WNCS), in which multiple loops share the same wireless network. The bandwidth of wireless network is very limited. The signal transmission among nodes vies for network resources, which will lead to the increase of network congestion and delays in WNCS. Deadbands are set up in both sensor and controller nodes so as to achieve network scheduling. In the sensor node, whether the sensor node sends data packet to wireless network or not depends on a deadband scheduling strategy. The deadband form is according to the difference between current sampling signal and the previous transmission signal, as well as the difference of two consecutive sampling signals. In the controller node, we use the deviations and their variation rate to build another deadband. Simulation results indicate that the proposed deadband scheduling method significantly achieves dynamic performance in WNCS, while effectively reducing network delays and network data packet traffic.
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912			\|a GBV_ILN_70
912			\|a GBV_ILN_73
912			\|a GBV_ILN_74
912			\|a GBV_ILN_90
912			\|a GBV_ILN_95
912			\|a GBV_ILN_100
912			\|a GBV_ILN_105
912			\|a GBV_ILN_110
912			\|a GBV_ILN_120
912			\|a GBV_ILN_138
912			\|a GBV_ILN_150
912			\|a GBV_ILN_151
912			\|a GBV_ILN_152
912			\|a GBV_ILN_161
912			\|a GBV_ILN_170
912			\|a GBV_ILN_171
912			\|a GBV_ILN_187
912			\|a GBV_ILN_213
912			\|a GBV_ILN_224
912			\|a GBV_ILN_230
912			\|a GBV_ILN_250
912			\|a GBV_ILN_281
912			\|a GBV_ILN_285
912			\|a GBV_ILN_293
912			\|a GBV_ILN_370
912			\|a GBV_ILN_602
912			\|a GBV_ILN_636
912			\|a GBV_ILN_702
912			\|a GBV_ILN_2001
912			\|a GBV_ILN_2003
912			\|a GBV_ILN_2004
912			\|a GBV_ILN_2005
912			\|a GBV_ILN_2006
912			\|a GBV_ILN_2007
912			\|a GBV_ILN_2008
912			\|a GBV_ILN_2009
912			\|a GBV_ILN_2010
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912			\|a GBV_ILN_2014
912			\|a GBV_ILN_2015
912			\|a GBV_ILN_2020
912			\|a GBV_ILN_2021
912			\|a GBV_ILN_2025
912			\|a GBV_ILN_2026
912			\|a GBV_ILN_2027
912			\|a GBV_ILN_2031
912			\|a GBV_ILN_2034
912			\|a GBV_ILN_2037
912			\|a GBV_ILN_2038
912			\|a GBV_ILN_2039
912			\|a GBV_ILN_2044
912			\|a GBV_ILN_2048
912			\|a GBV_ILN_2049
912			\|a GBV_ILN_2050
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912			\|a GBV_ILN_2057
912			\|a GBV_ILN_2059
912			\|a GBV_ILN_2061
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912			\|a GBV_ILN_2068
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912			\|a GBV_ILN_2093
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912			\|a GBV_ILN_2108
912			\|a GBV_ILN_2110
912			\|a GBV_ILN_2111
912			\|a GBV_ILN_2112
912			\|a GBV_ILN_2113
912			\|a GBV_ILN_2116
912			\|a GBV_ILN_2118
912			\|a GBV_ILN_2119
912			\|a GBV_ILN_2122
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912			\|a GBV_ILN_2522
912			\|a GBV_ILN_2548
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matchkey_str	article:15728129:2018----::edadceuignesroencnrlendfrieese
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allfields	10.1007/s10776-018-0384-5 doi (DE-627)SPR013196596 (SPR)s10776-018-0384-5-e DE-627 ger DE-627 rakwb eng 620 ASE 53.00 bkl Tang, Yinqing verfasserin aut Deadband Scheduling in Sensor Node and Controller Node for Wireless Networked Control Systems 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract A deadband scheduling method is proposed for wireless networked control system (WNCS), in which multiple loops share the same wireless network. The bandwidth of wireless network is very limited. The signal transmission among nodes vies for network resources, which will lead to the increase of network congestion and delays in WNCS. Deadbands are set up in both sensor and controller nodes so as to achieve network scheduling. In the sensor node, whether the sensor node sends data packet to wireless network or not depends on a deadband scheduling strategy. The deadband form is according to the difference between current sampling signal and the previous transmission signal, as well as the difference of two consecutive sampling signals. In the controller node, we use the deviations and their variation rate to build another deadband. Simulation results indicate that the proposed deadband scheduling method significantly achieves dynamic performance in WNCS, while effectively reducing network delays and network data packet traffic. Deadband scheduling (dpeaa)DE-He213 Sensor node (dpeaa)DE-He213 Controller node (dpeaa)DE-He213 Wireless networked control systems (WNCS) (dpeaa)DE-He213 Du, Feng verfasserin aut Fang, Xianming verfasserin aut Enthalten in International journal of wireless information networks New York, NY [u.a.] : Springer Science + Business Media B.V., 1994 25(2018), 3 vom: 17. Jan., Seite 241-249 (DE-627)320567982 (DE-600)2016171-2 1572-8129 nnns volume:25 year:2018 number:3 day:17 month:01 pages:241-249 https://dx.doi.org/10.1007/s10776-018-0384-5 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 53.00 ASE AR 25 2018 3 17 01 241-249
spelling	10.1007/s10776-018-0384-5 doi (DE-627)SPR013196596 (SPR)s10776-018-0384-5-e DE-627 ger DE-627 rakwb eng 620 ASE 53.00 bkl Tang, Yinqing verfasserin aut Deadband Scheduling in Sensor Node and Controller Node for Wireless Networked Control Systems 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract A deadband scheduling method is proposed for wireless networked control system (WNCS), in which multiple loops share the same wireless network. The bandwidth of wireless network is very limited. The signal transmission among nodes vies for network resources, which will lead to the increase of network congestion and delays in WNCS. Deadbands are set up in both sensor and controller nodes so as to achieve network scheduling. In the sensor node, whether the sensor node sends data packet to wireless network or not depends on a deadband scheduling strategy. The deadband form is according to the difference between current sampling signal and the previous transmission signal, as well as the difference of two consecutive sampling signals. In the controller node, we use the deviations and their variation rate to build another deadband. Simulation results indicate that the proposed deadband scheduling method significantly achieves dynamic performance in WNCS, while effectively reducing network delays and network data packet traffic. Deadband scheduling (dpeaa)DE-He213 Sensor node (dpeaa)DE-He213 Controller node (dpeaa)DE-He213 Wireless networked control systems (WNCS) (dpeaa)DE-He213 Du, Feng verfasserin aut Fang, Xianming verfasserin aut Enthalten in International journal of wireless information networks New York, NY [u.a.] : Springer Science + Business Media B.V., 1994 25(2018), 3 vom: 17. Jan., Seite 241-249 (DE-627)320567982 (DE-600)2016171-2 1572-8129 nnns volume:25 year:2018 number:3 day:17 month:01 pages:241-249 https://dx.doi.org/10.1007/s10776-018-0384-5 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 53.00 ASE AR 25 2018 3 17 01 241-249
allfields_unstemmed	10.1007/s10776-018-0384-5 doi (DE-627)SPR013196596 (SPR)s10776-018-0384-5-e DE-627 ger DE-627 rakwb eng 620 ASE 53.00 bkl Tang, Yinqing verfasserin aut Deadband Scheduling in Sensor Node and Controller Node for Wireless Networked Control Systems 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract A deadband scheduling method is proposed for wireless networked control system (WNCS), in which multiple loops share the same wireless network. The bandwidth of wireless network is very limited. The signal transmission among nodes vies for network resources, which will lead to the increase of network congestion and delays in WNCS. Deadbands are set up in both sensor and controller nodes so as to achieve network scheduling. In the sensor node, whether the sensor node sends data packet to wireless network or not depends on a deadband scheduling strategy. The deadband form is according to the difference between current sampling signal and the previous transmission signal, as well as the difference of two consecutive sampling signals. In the controller node, we use the deviations and their variation rate to build another deadband. Simulation results indicate that the proposed deadband scheduling method significantly achieves dynamic performance in WNCS, while effectively reducing network delays and network data packet traffic. Deadband scheduling (dpeaa)DE-He213 Sensor node (dpeaa)DE-He213 Controller node (dpeaa)DE-He213 Wireless networked control systems (WNCS) (dpeaa)DE-He213 Du, Feng verfasserin aut Fang, Xianming verfasserin aut Enthalten in International journal of wireless information networks New York, NY [u.a.] : Springer Science + Business Media B.V., 1994 25(2018), 3 vom: 17. Jan., Seite 241-249 (DE-627)320567982 (DE-600)2016171-2 1572-8129 nnns volume:25 year:2018 number:3 day:17 month:01 pages:241-249 https://dx.doi.org/10.1007/s10776-018-0384-5 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 53.00 ASE AR 25 2018 3 17 01 241-249
allfieldsGer	10.1007/s10776-018-0384-5 doi (DE-627)SPR013196596 (SPR)s10776-018-0384-5-e DE-627 ger DE-627 rakwb eng 620 ASE 53.00 bkl Tang, Yinqing verfasserin aut Deadband Scheduling in Sensor Node and Controller Node for Wireless Networked Control Systems 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract A deadband scheduling method is proposed for wireless networked control system (WNCS), in which multiple loops share the same wireless network. The bandwidth of wireless network is very limited. The signal transmission among nodes vies for network resources, which will lead to the increase of network congestion and delays in WNCS. Deadbands are set up in both sensor and controller nodes so as to achieve network scheduling. In the sensor node, whether the sensor node sends data packet to wireless network or not depends on a deadband scheduling strategy. The deadband form is according to the difference between current sampling signal and the previous transmission signal, as well as the difference of two consecutive sampling signals. In the controller node, we use the deviations and their variation rate to build another deadband. Simulation results indicate that the proposed deadband scheduling method significantly achieves dynamic performance in WNCS, while effectively reducing network delays and network data packet traffic. Deadband scheduling (dpeaa)DE-He213 Sensor node (dpeaa)DE-He213 Controller node (dpeaa)DE-He213 Wireless networked control systems (WNCS) (dpeaa)DE-He213 Du, Feng verfasserin aut Fang, Xianming verfasserin aut Enthalten in International journal of wireless information networks New York, NY [u.a.] : Springer Science + Business Media B.V., 1994 25(2018), 3 vom: 17. Jan., Seite 241-249 (DE-627)320567982 (DE-600)2016171-2 1572-8129 nnns volume:25 year:2018 number:3 day:17 month:01 pages:241-249 https://dx.doi.org/10.1007/s10776-018-0384-5 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 53.00 ASE AR 25 2018 3 17 01 241-249
allfieldsSound	10.1007/s10776-018-0384-5 doi (DE-627)SPR013196596 (SPR)s10776-018-0384-5-e DE-627 ger DE-627 rakwb eng 620 ASE 53.00 bkl Tang, Yinqing verfasserin aut Deadband Scheduling in Sensor Node and Controller Node for Wireless Networked Control Systems 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract A deadband scheduling method is proposed for wireless networked control system (WNCS), in which multiple loops share the same wireless network. The bandwidth of wireless network is very limited. The signal transmission among nodes vies for network resources, which will lead to the increase of network congestion and delays in WNCS. Deadbands are set up in both sensor and controller nodes so as to achieve network scheduling. In the sensor node, whether the sensor node sends data packet to wireless network or not depends on a deadband scheduling strategy. The deadband form is according to the difference between current sampling signal and the previous transmission signal, as well as the difference of two consecutive sampling signals. In the controller node, we use the deviations and their variation rate to build another deadband. Simulation results indicate that the proposed deadband scheduling method significantly achieves dynamic performance in WNCS, while effectively reducing network delays and network data packet traffic. Deadband scheduling (dpeaa)DE-He213 Sensor node (dpeaa)DE-He213 Controller node (dpeaa)DE-He213 Wireless networked control systems (WNCS) (dpeaa)DE-He213 Du, Feng verfasserin aut Fang, Xianming verfasserin aut Enthalten in International journal of wireless information networks New York, NY [u.a.] : Springer Science + Business Media B.V., 1994 25(2018), 3 vom: 17. Jan., Seite 241-249 (DE-627)320567982 (DE-600)2016171-2 1572-8129 nnns volume:25 year:2018 number:3 day:17 month:01 pages:241-249 https://dx.doi.org/10.1007/s10776-018-0384-5 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 53.00 ASE AR 25 2018 3 17 01 241-249
language	English
source	Enthalten in International journal of wireless information networks 25(2018), 3 vom: 17. Jan., Seite 241-249 volume:25 year:2018 number:3 day:17 month:01 pages:241-249
sourceStr	Enthalten in International journal of wireless information networks 25(2018), 3 vom: 17. Jan., Seite 241-249 volume:25 year:2018 number:3 day:17 month:01 pages:241-249
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	Deadband scheduling Sensor node Controller node Wireless networked control systems (WNCS)
dewey-raw	620
isfreeaccess_bool	false
container_title	International journal of wireless information networks
authorswithroles_txt_mv	Tang, Yinqing @@aut@@ Du, Feng @@aut@@ Fang, Xianming @@aut@@
publishDateDaySort_date	2018-01-17T00:00:00Z
hierarchy_top_id	320567982
dewey-sort	3620
id	SPR013196596
language_de	englisch
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author	Tang, Yinqing
spellingShingle	Tang, Yinqing ddc 620 bkl 53.00 misc Deadband scheduling misc Sensor node misc Controller node misc Wireless networked control systems (WNCS) Deadband Scheduling in Sensor Node and Controller Node for Wireless Networked Control Systems
authorStr	Tang, Yinqing
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topic_title	620 ASE 53.00 bkl Deadband Scheduling in Sensor Node and Controller Node for Wireless Networked Control Systems Deadband scheduling (dpeaa)DE-He213 Sensor node (dpeaa)DE-He213 Controller node (dpeaa)DE-He213 Wireless networked control systems (WNCS) (dpeaa)DE-He213
topic	ddc 620 bkl 53.00 misc Deadband scheduling misc Sensor node misc Controller node misc Wireless networked control systems (WNCS)
topic_unstemmed	ddc 620 bkl 53.00 misc Deadband scheduling misc Sensor node misc Controller node misc Wireless networked control systems (WNCS)
topic_browse	ddc 620 bkl 53.00 misc Deadband scheduling misc Sensor node misc Controller node misc Wireless networked control systems (WNCS)
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title	Deadband Scheduling in Sensor Node and Controller Node for Wireless Networked Control Systems
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title_full	Deadband Scheduling in Sensor Node and Controller Node for Wireless Networked Control Systems
author_sort	Tang, Yinqing
journal	International journal of wireless information networks
journalStr	International journal of wireless information networks
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author_browse	Tang, Yinqing Du, Feng Fang, Xianming
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title_sort	deadband scheduling in sensor node and controller node for wireless networked control systems
title_auth	Deadband Scheduling in Sensor Node and Controller Node for Wireless Networked Control Systems
abstract	Abstract A deadband scheduling method is proposed for wireless networked control system (WNCS), in which multiple loops share the same wireless network. The bandwidth of wireless network is very limited. The signal transmission among nodes vies for network resources, which will lead to the increase of network congestion and delays in WNCS. Deadbands are set up in both sensor and controller nodes so as to achieve network scheduling. In the sensor node, whether the sensor node sends data packet to wireless network or not depends on a deadband scheduling strategy. The deadband form is according to the difference between current sampling signal and the previous transmission signal, as well as the difference of two consecutive sampling signals. In the controller node, we use the deviations and their variation rate to build another deadband. Simulation results indicate that the proposed deadband scheduling method significantly achieves dynamic performance in WNCS, while effectively reducing network delays and network data packet traffic.
abstractGer	Abstract A deadband scheduling method is proposed for wireless networked control system (WNCS), in which multiple loops share the same wireless network. The bandwidth of wireless network is very limited. The signal transmission among nodes vies for network resources, which will lead to the increase of network congestion and delays in WNCS. Deadbands are set up in both sensor and controller nodes so as to achieve network scheduling. In the sensor node, whether the sensor node sends data packet to wireless network or not depends on a deadband scheduling strategy. The deadband form is according to the difference between current sampling signal and the previous transmission signal, as well as the difference of two consecutive sampling signals. In the controller node, we use the deviations and their variation rate to build another deadband. Simulation results indicate that the proposed deadband scheduling method significantly achieves dynamic performance in WNCS, while effectively reducing network delays and network data packet traffic.
abstract_unstemmed	Abstract A deadband scheduling method is proposed for wireless networked control system (WNCS), in which multiple loops share the same wireless network. The bandwidth of wireless network is very limited. The signal transmission among nodes vies for network resources, which will lead to the increase of network congestion and delays in WNCS. Deadbands are set up in both sensor and controller nodes so as to achieve network scheduling. In the sensor node, whether the sensor node sends data packet to wireless network or not depends on a deadband scheduling strategy. The deadband form is according to the difference between current sampling signal and the previous transmission signal, as well as the difference of two consecutive sampling signals. In the controller node, we use the deviations and their variation rate to build another deadband. Simulation results indicate that the proposed deadband scheduling method significantly achieves dynamic performance in WNCS, while effectively reducing network delays and network data packet traffic.
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title_short	Deadband Scheduling in Sensor Node and Controller Node for Wireless Networked Control Systems
url	https://dx.doi.org/10.1007/s10776-018-0384-5
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author2	Du, Feng Fang, Xianming
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doi_str	10.1007/s10776-018-0384-5
up_date	2024-07-03T18:04:25.295Z
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The bandwidth of wireless network is very limited. The signal transmission among nodes vies for network resources, which will lead to the increase of network congestion and delays in WNCS. Deadbands are set up in both sensor and controller nodes so as to achieve network scheduling. In the sensor node, whether the sensor node sends data packet to wireless network or not depends on a deadband scheduling strategy. The deadband form is according to the difference between current sampling signal and the previous transmission signal, as well as the difference of two consecutive sampling signals. In the controller node, we use the deviations and their variation rate to build another deadband. 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