Toward the simulation of WiFi Fine Time measurements in NS3 network simulator

WiFi has become the most widely used indoor positioning technology. The Fine Time Measurement (FTM) protocol introduced in the IEEE 802.11-2016 standard uses radio frequency based two-way time-of-flight (ToF) estimation, which promises precise indoor ranging and positioning. However, even with an To...
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Gespeichert in:

Autor*in:	Zubow, Anatolij [verfasserIn] Laskos, Christos [verfasserIn] Dressler, Falko [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2023

Schlagwörter:	WiFi localization IEEE 802.11 Fine Time Measurements FTM Network simulation NS3

Übergeordnetes Werk:	Enthalten in: Computer communications - Amsterdam [u.a.] : Elsevier Science, 1978, 210, Seite 35-44
Übergeordnetes Werk:	volume:210 ; pages:35-44

DOI / URN:	10.1016/j.comcom.2023.07.028

Katalog-ID:	ELV065091647

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520			\|a WiFi has become the most widely used indoor positioning technology. The Fine Time Measurement (FTM) protocol introduced in the IEEE 802.11-2016 standard uses radio frequency based two-way time-of-flight (ToF) estimation, which promises precise indoor ranging and positioning. However, even with an ToF approach an exact indoor positioning is challenging due to the peculiarities of the propagation of the wireless signal such as signal attenuation, multipath propagation and signal fading. Moreover, the used WiFi hardware and its configuration like channel bandwidth also plays a major role. We present FTM-ns3, a software module which implements the 802.11 FTM protocol so that it can be used within the widely used ns3 network simulator. Moreover, we conducted experiments using commodity WiFi-FTM hardware, Intel 8260 and ESP32, and derived empirical error models which can be used in simulations to study the performance of novel FTM-based localization schemes under real channel propagation conditions while taking into account the specifics of the used WiFi hardware and configuration of FTM. Finally, we present results from simulations of a simple localization scheme based on FTM and multilateration which show the great influence of ranging inaccuracy introduced due to multipath propagation in typical indoor environments with line-of-sight (LoS) but strong multipath. Our module is provided to the community as open source and can be easily customized and extended.
650		4	\|a WiFi localization
650		4	\|a IEEE 802.11
650		4	\|a Fine Time Measurements
650		4	\|a FTM
650		4	\|a Network simulation
650		4	\|a NS3
700	1		\|a Laskos, Christos \|e verfasserin \|4 aut
700	1		\|a Dressler, Falko \|e verfasserin \|0 (orcid)0000-0002-1989-1750 \|4 aut
773	0	8	\|i Enthalten in \|t Computer communications \|d Amsterdam [u.a.] : Elsevier Science, 1978 \|g 210, Seite 35-44 \|h Online-Ressource \|w (DE-627)270937900 \|w (DE-600)1478742-8 \|w (DE-576)078316790 \|x 0140-3664 \|7 nnns
773	1	8	\|g volume:210 \|g pages:35-44
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912			\|a GBV_ILN_4700
936	b	k	\|a 54.00 \|j Informatik: Allgemeines \|q VZ
951			\|a AR
952			\|d 210 \|h 35-44

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allfields	10.1016/j.comcom.2023.07.028 doi (DE-627)ELV065091647 (ELSEVIER)S0140-3664(23)00262-1 DE-627 ger DE-627 rda eng 004 VZ 54.00 bkl Zubow, Anatolij verfasserin aut Toward the simulation of WiFi Fine Time measurements in NS3 network simulator 2023 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier WiFi has become the most widely used indoor positioning technology. The Fine Time Measurement (FTM) protocol introduced in the IEEE 802.11-2016 standard uses radio frequency based two-way time-of-flight (ToF) estimation, which promises precise indoor ranging and positioning. However, even with an ToF approach an exact indoor positioning is challenging due to the peculiarities of the propagation of the wireless signal such as signal attenuation, multipath propagation and signal fading. Moreover, the used WiFi hardware and its configuration like channel bandwidth also plays a major role. We present FTM-ns3, a software module which implements the 802.11 FTM protocol so that it can be used within the widely used ns3 network simulator. Moreover, we conducted experiments using commodity WiFi-FTM hardware, Intel 8260 and ESP32, and derived empirical error models which can be used in simulations to study the performance of novel FTM-based localization schemes under real channel propagation conditions while taking into account the specifics of the used WiFi hardware and configuration of FTM. Finally, we present results from simulations of a simple localization scheme based on FTM and multilateration which show the great influence of ranging inaccuracy introduced due to multipath propagation in typical indoor environments with line-of-sight (LoS) but strong multipath. Our module is provided to the community as open source and can be easily customized and extended. WiFi localization IEEE 802.11 Fine Time Measurements FTM Network simulation NS3 Laskos, Christos verfasserin aut Dressler, Falko verfasserin (orcid)0000-0002-1989-1750 aut Enthalten in Computer communications Amsterdam [u.a.] : Elsevier Science, 1978 210, Seite 35-44 Online-Ressource (DE-627)270937900 (DE-600)1478742-8 (DE-576)078316790 0140-3664 nnns volume:210 pages:35-44 GBV_USEFLAG_U GBV_ELV SYSFLAG_U GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 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_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 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_4338 GBV_ILN_4393 GBV_ILN_4700 54.00 Informatik: Allgemeines VZ AR 210 35-44
spelling	10.1016/j.comcom.2023.07.028 doi (DE-627)ELV065091647 (ELSEVIER)S0140-3664(23)00262-1 DE-627 ger DE-627 rda eng 004 VZ 54.00 bkl Zubow, Anatolij verfasserin aut Toward the simulation of WiFi Fine Time measurements in NS3 network simulator 2023 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier WiFi has become the most widely used indoor positioning technology. The Fine Time Measurement (FTM) protocol introduced in the IEEE 802.11-2016 standard uses radio frequency based two-way time-of-flight (ToF) estimation, which promises precise indoor ranging and positioning. However, even with an ToF approach an exact indoor positioning is challenging due to the peculiarities of the propagation of the wireless signal such as signal attenuation, multipath propagation and signal fading. Moreover, the used WiFi hardware and its configuration like channel bandwidth also plays a major role. We present FTM-ns3, a software module which implements the 802.11 FTM protocol so that it can be used within the widely used ns3 network simulator. Moreover, we conducted experiments using commodity WiFi-FTM hardware, Intel 8260 and ESP32, and derived empirical error models which can be used in simulations to study the performance of novel FTM-based localization schemes under real channel propagation conditions while taking into account the specifics of the used WiFi hardware and configuration of FTM. Finally, we present results from simulations of a simple localization scheme based on FTM and multilateration which show the great influence of ranging inaccuracy introduced due to multipath propagation in typical indoor environments with line-of-sight (LoS) but strong multipath. Our module is provided to the community as open source and can be easily customized and extended. WiFi localization IEEE 802.11 Fine Time Measurements FTM Network simulation NS3 Laskos, Christos verfasserin aut Dressler, Falko verfasserin (orcid)0000-0002-1989-1750 aut Enthalten in Computer communications Amsterdam [u.a.] : Elsevier Science, 1978 210, Seite 35-44 Online-Ressource (DE-627)270937900 (DE-600)1478742-8 (DE-576)078316790 0140-3664 nnns volume:210 pages:35-44 GBV_USEFLAG_U GBV_ELV SYSFLAG_U GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 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_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 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_4338 GBV_ILN_4393 GBV_ILN_4700 54.00 Informatik: Allgemeines VZ AR 210 35-44
allfields_unstemmed	10.1016/j.comcom.2023.07.028 doi (DE-627)ELV065091647 (ELSEVIER)S0140-3664(23)00262-1 DE-627 ger DE-627 rda eng 004 VZ 54.00 bkl Zubow, Anatolij verfasserin aut Toward the simulation of WiFi Fine Time measurements in NS3 network simulator 2023 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier WiFi has become the most widely used indoor positioning technology. The Fine Time Measurement (FTM) protocol introduced in the IEEE 802.11-2016 standard uses radio frequency based two-way time-of-flight (ToF) estimation, which promises precise indoor ranging and positioning. However, even with an ToF approach an exact indoor positioning is challenging due to the peculiarities of the propagation of the wireless signal such as signal attenuation, multipath propagation and signal fading. Moreover, the used WiFi hardware and its configuration like channel bandwidth also plays a major role. We present FTM-ns3, a software module which implements the 802.11 FTM protocol so that it can be used within the widely used ns3 network simulator. Moreover, we conducted experiments using commodity WiFi-FTM hardware, Intel 8260 and ESP32, and derived empirical error models which can be used in simulations to study the performance of novel FTM-based localization schemes under real channel propagation conditions while taking into account the specifics of the used WiFi hardware and configuration of FTM. Finally, we present results from simulations of a simple localization scheme based on FTM and multilateration which show the great influence of ranging inaccuracy introduced due to multipath propagation in typical indoor environments with line-of-sight (LoS) but strong multipath. Our module is provided to the community as open source and can be easily customized and extended. WiFi localization IEEE 802.11 Fine Time Measurements FTM Network simulation NS3 Laskos, Christos verfasserin aut Dressler, Falko verfasserin (orcid)0000-0002-1989-1750 aut Enthalten in Computer communications Amsterdam [u.a.] : Elsevier Science, 1978 210, Seite 35-44 Online-Ressource (DE-627)270937900 (DE-600)1478742-8 (DE-576)078316790 0140-3664 nnns volume:210 pages:35-44 GBV_USEFLAG_U GBV_ELV SYSFLAG_U GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 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_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 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_4338 GBV_ILN_4393 GBV_ILN_4700 54.00 Informatik: Allgemeines VZ AR 210 35-44
allfieldsGer	10.1016/j.comcom.2023.07.028 doi (DE-627)ELV065091647 (ELSEVIER)S0140-3664(23)00262-1 DE-627 ger DE-627 rda eng 004 VZ 54.00 bkl Zubow, Anatolij verfasserin aut Toward the simulation of WiFi Fine Time measurements in NS3 network simulator 2023 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier WiFi has become the most widely used indoor positioning technology. The Fine Time Measurement (FTM) protocol introduced in the IEEE 802.11-2016 standard uses radio frequency based two-way time-of-flight (ToF) estimation, which promises precise indoor ranging and positioning. However, even with an ToF approach an exact indoor positioning is challenging due to the peculiarities of the propagation of the wireless signal such as signal attenuation, multipath propagation and signal fading. Moreover, the used WiFi hardware and its configuration like channel bandwidth also plays a major role. We present FTM-ns3, a software module which implements the 802.11 FTM protocol so that it can be used within the widely used ns3 network simulator. Moreover, we conducted experiments using commodity WiFi-FTM hardware, Intel 8260 and ESP32, and derived empirical error models which can be used in simulations to study the performance of novel FTM-based localization schemes under real channel propagation conditions while taking into account the specifics of the used WiFi hardware and configuration of FTM. Finally, we present results from simulations of a simple localization scheme based on FTM and multilateration which show the great influence of ranging inaccuracy introduced due to multipath propagation in typical indoor environments with line-of-sight (LoS) but strong multipath. Our module is provided to the community as open source and can be easily customized and extended. WiFi localization IEEE 802.11 Fine Time Measurements FTM Network simulation NS3 Laskos, Christos verfasserin aut Dressler, Falko verfasserin (orcid)0000-0002-1989-1750 aut Enthalten in Computer communications Amsterdam [u.a.] : Elsevier Science, 1978 210, Seite 35-44 Online-Ressource (DE-627)270937900 (DE-600)1478742-8 (DE-576)078316790 0140-3664 nnns volume:210 pages:35-44 GBV_USEFLAG_U GBV_ELV SYSFLAG_U GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 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_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 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_4338 GBV_ILN_4393 GBV_ILN_4700 54.00 Informatik: Allgemeines VZ AR 210 35-44
allfieldsSound	10.1016/j.comcom.2023.07.028 doi (DE-627)ELV065091647 (ELSEVIER)S0140-3664(23)00262-1 DE-627 ger DE-627 rda eng 004 VZ 54.00 bkl Zubow, Anatolij verfasserin aut Toward the simulation of WiFi Fine Time measurements in NS3 network simulator 2023 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier WiFi has become the most widely used indoor positioning technology. The Fine Time Measurement (FTM) protocol introduced in the IEEE 802.11-2016 standard uses radio frequency based two-way time-of-flight (ToF) estimation, which promises precise indoor ranging and positioning. However, even with an ToF approach an exact indoor positioning is challenging due to the peculiarities of the propagation of the wireless signal such as signal attenuation, multipath propagation and signal fading. Moreover, the used WiFi hardware and its configuration like channel bandwidth also plays a major role. We present FTM-ns3, a software module which implements the 802.11 FTM protocol so that it can be used within the widely used ns3 network simulator. Moreover, we conducted experiments using commodity WiFi-FTM hardware, Intel 8260 and ESP32, and derived empirical error models which can be used in simulations to study the performance of novel FTM-based localization schemes under real channel propagation conditions while taking into account the specifics of the used WiFi hardware and configuration of FTM. Finally, we present results from simulations of a simple localization scheme based on FTM and multilateration which show the great influence of ranging inaccuracy introduced due to multipath propagation in typical indoor environments with line-of-sight (LoS) but strong multipath. Our module is provided to the community as open source and can be easily customized and extended. WiFi localization IEEE 802.11 Fine Time Measurements FTM Network simulation NS3 Laskos, Christos verfasserin aut Dressler, Falko verfasserin (orcid)0000-0002-1989-1750 aut Enthalten in Computer communications Amsterdam [u.a.] : Elsevier Science, 1978 210, Seite 35-44 Online-Ressource (DE-627)270937900 (DE-600)1478742-8 (DE-576)078316790 0140-3664 nnns volume:210 pages:35-44 GBV_USEFLAG_U GBV_ELV SYSFLAG_U GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 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_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 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_4338 GBV_ILN_4393 GBV_ILN_4700 54.00 Informatik: Allgemeines VZ AR 210 35-44
language	English
source	Enthalten in Computer communications 210, Seite 35-44 volume:210 pages:35-44
sourceStr	Enthalten in Computer communications 210, Seite 35-44 volume:210 pages:35-44
format_phy_str_mv	Article
bklname	Informatik: Allgemeines
institution	findex.gbv.de
topic_facet	WiFi localization IEEE 802.11 Fine Time Measurements FTM Network simulation NS3
dewey-raw	004
isfreeaccess_bool	false
container_title	Computer communications
authorswithroles_txt_mv	Zubow, Anatolij @@aut@@ Laskos, Christos @@aut@@ Dressler, Falko @@aut@@
publishDateDaySort_date	2023-01-01T00:00:00Z
hierarchy_top_id	270937900
dewey-sort	14
id	ELV065091647
language_de	englisch
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author	Zubow, Anatolij
spellingShingle	Zubow, Anatolij ddc 004 bkl 54.00 misc WiFi localization misc IEEE 802.11 misc Fine Time Measurements misc FTM misc Network simulation misc NS3 Toward the simulation of WiFi Fine Time measurements in NS3 network simulator
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topic_title	004 VZ 54.00 bkl Toward the simulation of WiFi Fine Time measurements in NS3 network simulator WiFi localization IEEE 802.11 Fine Time Measurements FTM Network simulation NS3
topic	ddc 004 bkl 54.00 misc WiFi localization misc IEEE 802.11 misc Fine Time Measurements misc FTM misc Network simulation misc NS3
topic_unstemmed	ddc 004 bkl 54.00 misc WiFi localization misc IEEE 802.11 misc Fine Time Measurements misc FTM misc Network simulation misc NS3
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title	Toward the simulation of WiFi Fine Time measurements in NS3 network simulator
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title_full	Toward the simulation of WiFi Fine Time measurements in NS3 network simulator
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title_sort	toward the simulation of wifi fine time measurements in ns3 network simulator
title_auth	Toward the simulation of WiFi Fine Time measurements in NS3 network simulator
abstract	WiFi has become the most widely used indoor positioning technology. The Fine Time Measurement (FTM) protocol introduced in the IEEE 802.11-2016 standard uses radio frequency based two-way time-of-flight (ToF) estimation, which promises precise indoor ranging and positioning. However, even with an ToF approach an exact indoor positioning is challenging due to the peculiarities of the propagation of the wireless signal such as signal attenuation, multipath propagation and signal fading. Moreover, the used WiFi hardware and its configuration like channel bandwidth also plays a major role. We present FTM-ns3, a software module which implements the 802.11 FTM protocol so that it can be used within the widely used ns3 network simulator. Moreover, we conducted experiments using commodity WiFi-FTM hardware, Intel 8260 and ESP32, and derived empirical error models which can be used in simulations to study the performance of novel FTM-based localization schemes under real channel propagation conditions while taking into account the specifics of the used WiFi hardware and configuration of FTM. Finally, we present results from simulations of a simple localization scheme based on FTM and multilateration which show the great influence of ranging inaccuracy introduced due to multipath propagation in typical indoor environments with line-of-sight (LoS) but strong multipath. Our module is provided to the community as open source and can be easily customized and extended.
abstractGer	WiFi has become the most widely used indoor positioning technology. The Fine Time Measurement (FTM) protocol introduced in the IEEE 802.11-2016 standard uses radio frequency based two-way time-of-flight (ToF) estimation, which promises precise indoor ranging and positioning. However, even with an ToF approach an exact indoor positioning is challenging due to the peculiarities of the propagation of the wireless signal such as signal attenuation, multipath propagation and signal fading. Moreover, the used WiFi hardware and its configuration like channel bandwidth also plays a major role. We present FTM-ns3, a software module which implements the 802.11 FTM protocol so that it can be used within the widely used ns3 network simulator. Moreover, we conducted experiments using commodity WiFi-FTM hardware, Intel 8260 and ESP32, and derived empirical error models which can be used in simulations to study the performance of novel FTM-based localization schemes under real channel propagation conditions while taking into account the specifics of the used WiFi hardware and configuration of FTM. Finally, we present results from simulations of a simple localization scheme based on FTM and multilateration which show the great influence of ranging inaccuracy introduced due to multipath propagation in typical indoor environments with line-of-sight (LoS) but strong multipath. Our module is provided to the community as open source and can be easily customized and extended.
abstract_unstemmed	WiFi has become the most widely used indoor positioning technology. The Fine Time Measurement (FTM) protocol introduced in the IEEE 802.11-2016 standard uses radio frequency based two-way time-of-flight (ToF) estimation, which promises precise indoor ranging and positioning. However, even with an ToF approach an exact indoor positioning is challenging due to the peculiarities of the propagation of the wireless signal such as signal attenuation, multipath propagation and signal fading. Moreover, the used WiFi hardware and its configuration like channel bandwidth also plays a major role. We present FTM-ns3, a software module which implements the 802.11 FTM protocol so that it can be used within the widely used ns3 network simulator. Moreover, we conducted experiments using commodity WiFi-FTM hardware, Intel 8260 and ESP32, and derived empirical error models which can be used in simulations to study the performance of novel FTM-based localization schemes under real channel propagation conditions while taking into account the specifics of the used WiFi hardware and configuration of FTM. Finally, we present results from simulations of a simple localization scheme based on FTM and multilateration which show the great influence of ranging inaccuracy introduced due to multipath propagation in typical indoor environments with line-of-sight (LoS) but strong multipath. Our module is provided to the community as open source and can be easily customized and extended.
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title_short	Toward the simulation of WiFi Fine Time measurements in NS3 network simulator
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doi_str	10.1016/j.comcom.2023.07.028
up_date	2024-07-06T21:47:58.211Z
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Toward the simulation of WiFi Fine Time measurements in NS3 network simulator

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