Sequential Monte Carlo for simultaneous passive device-free tracking and sensor localization using received signal strength measurements

This paper presents and evaluates a method for simultaneously tracking a target while localizing the sensor nodes of a passive device-free tracking system. The system uses received signal strength (RSS) measurements taken on the links connecting many nodes in a wireless sensor network, with nodes de...

Full description

Saved in:
Bibliographic Details
Published in:2011 10th International Conference on Information Processing in Sensor Networks pp. 342 - 353
Main Authors: Xi Chen, Edelstein, A, Yunpeng Li, Coates, M, Rabbat, M, Men, A
Format: Conference Proceeding
Language:English
Published: IEEE 01.04.2011
Subjects:
Atmospheric measurements
Attenuation
Attenuation measurement
Device-Free
Node Localization
on-line EM
Particle Filter
Radio frequency
RSS
Target tracking
Tomography
Wireless sensor networks
ISBN:9781612848549, 1612848540
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Abstract This paper presents and evaluates a method for simultaneously tracking a target while localizing the sensor nodes of a passive device-free tracking system. The system uses received signal strength (RSS) measurements taken on the links connecting many nodes in a wireless sensor network, with nodes deployed such that the links overlap across the region. A target moving through the region attenuates links intersecting or nearby its path. At the same time, RSS measurements provide information about the relative locations of sensor nodes. We utilize the Sequential Monte Carlo (particle filtering) framework for tracking, and we use an online EM algorithm to simultaneously estimate static parameters (including the sensor locations, as well as model parameters including noise variance and attenuation strength of the target). Simultaneous tracking, online calibration and parameter estimation enable rapid deployment of a RSS-based device free localization system, e.g., in emergency response scenarios. Simulation results and experiments with a wireless sensor network testbed illustrate that the proposed tracking method performs well in a variety of settings.
AbstractList This paper presents and evaluates a method for simultaneously tracking a target while localizing the sensor nodes of a passive device-free tracking system. The system uses received signal strength (RSS) measurements taken on the links connecting many nodes in a wireless sensor network, with nodes deployed such that the links overlap across the region. A target moving through the region attenuates links intersecting or nearby its path. At the same time, RSS measurements provide information about the relative locations of sensor nodes. We utilize the Sequential Monte Carlo (particle filtering) framework for tracking, and we use an online EM algorithm to simultaneously estimate static parameters (including the sensor locations, as well as model parameters including noise variance and attenuation strength of the target). Simultaneous tracking, online calibration and parameter estimation enable rapid deployment of a RSS-based device free localization system, e.g., in emergency response scenarios. Simulation results and experiments with a wireless sensor network testbed illustrate that the proposed tracking method performs well in a variety of settings.
Author Rabbat, M
Men, A
Xi Chen
Coates, M
Yunpeng Li
Edelstein, A
Author_xml – sequence: 1
  surname: Xi Chen
  fullname: Xi Chen
  email: xi.chen8@mail.mcgill.ca
  organization: McGill Univ., Montreal, QC, Canada
– sequence: 2
  givenname: A
  surname: Edelstein
  fullname: Edelstein, A
  email: andrea.edelstein@mail.mcgill.ca
  organization: McGill Univ., Montreal, QC, Canada
– sequence: 3
  surname: Yunpeng Li
  fullname: Yunpeng Li
  email: liyp@bupt.edu.cn
  organization: Beijing Univ. Posts & Telecommun., Beijing, China
– sequence: 4
  givenname: M
  surname: Coates
  fullname: Coates, M
  email: mark.coates@mcgill.ca
  organization: McGill Univ., Montreal, QC, Canada
– sequence: 5
  givenname: M
  surname: Rabbat
  fullname: Rabbat, M
  email: michael.rabbat@mcgill.ca
  organization: McGill Univ., Montreal, QC, Canada
– sequence: 6
  givenname: A
  surname: Men
  fullname: Men, A
  email: menad@bupt.edu.cn
  organization: Beijing Univ. Posts & Telecommun., Beijing, China
BookMark eNotUEtOwzAUNAIkaOkJ2PgCkWzHTuIlqvhJRSzovnqxn4shsYvtVIITcGyCYDazmJ80C3IWYsATsuBSsZopLvgpWem24w0XneyU1BdklfMbm9E0Wqj6kny_4MeEoXgY6FMMBeka0hCpi4lmP05DgYBxyvQAOfsjUotHb7ByCZGWBObdhz2FYGnGkOfQEA0M_guKj4FO-VdNaHCOzha_D_NOLgnDvrzSESFPCcd5P1-RcwdDxtU_L8n27na7fqg2z_eP65tN5TUrlcUWGsFkw5RlveJQG9cywVAp3iD23KJUYB0T0vXOGa5lb0TnwBnLdQv1klz_1XpE3B2SHyF97lTbajaf9gN7PmP0
ContentType Conference Proceeding
DBID 6IE
6IL
CBEJK
RIE
RIL
DatabaseName IEEE Electronic Library (IEL) Conference Proceedings
IEEE Xplore POP ALL
IEEE Xplore All Conference Proceedings
IEEE Electronic Library (IEL)
IEEE Proceedings Order Plans (POP All) 1998-Present
DatabaseTitleList
Database_xml – sequence: 1
  dbid: RIE
  name: IEEE Electronic Library (IEL)
  url: https://ieeexplore.ieee.org/
  sourceTypes: Publisher
DeliveryMethod fulltext_linktorsrc
EISBN 1450305121
9781450305129
EndPage 353
ExternalDocumentID 5779050
Genre orig-research
GroupedDBID 6IE
6IF
6IK
6IL
6IN
AAJGR
AAWTH
ADFMO
ALMA_UNASSIGNED_HOLDINGS
BEFXN
BFFAM
BGNUA
BKEBE
BPEOZ
CBEJK
IEGSK
IERZE
OCL
RIE
RIL
ID FETCH-LOGICAL-i90t-de7a6204605d0b51a3cf7020e5516eeb1de45adf024fbffc194bc28fafcd197a3
IEDL.DBID RIE
ISBN 9781612848549
1612848540
IngestDate Wed Aug 27 02:53:16 EDT 2025
IsPeerReviewed false
IsScholarly false
Language English
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-i90t-de7a6204605d0b51a3cf7020e5516eeb1de45adf024fbffc194bc28fafcd197a3
PageCount 12
ParticipantIDs ieee_primary_5779050
PublicationCentury 2000
PublicationDate 2011-April
PublicationDateYYYYMMDD 2011-04-01
PublicationDate_xml – month: 04
  year: 2011
  text: 2011-April
PublicationDecade 2010
PublicationTitle 2011 10th International Conference on Information Processing in Sensor Networks
PublicationTitleAbbrev IPSN
PublicationYear 2011
Publisher IEEE
Publisher_xml – name: IEEE
SSID ssj0000669253
Score 1.717692
Snippet This paper presents and evaluates a method for simultaneously tracking a target while localizing the sensor nodes of a passive device-free tracking system. The...
SourceID ieee
SourceType Publisher
StartPage 342
SubjectTerms Atmospheric measurements
Attenuation
Attenuation measurement
Device-Free
Node Localization
on-line EM
Particle Filter
Radio frequency
RSS
Target tracking
Tomography
Wireless sensor networks
Title Sequential Monte Carlo for simultaneous passive device-free tracking and sensor localization using received signal strength measurements
URI https://ieeexplore.ieee.org/document/5779050
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
link http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV3NS8MwFA9zePCksonfvINHK82aNs15ODzoGDhkt5EmL7Mwu9F2_g3-2b50dUPw4q0pDYG89H388n7vMXZnOY9EEpIEuIwCERsMUhQm4CILldQuEU1LlrdnOR6ns5madNj9jguDiE3yGT74x-Yu367MxkNlFLz7clIUoB9IKbdcrR2eQqZTDWLftoF8GNK5KbkibUmnn7H61UGlMSCj4_8tfcL6eyYeTHY25pR1sOixr9cm_5n-zSW8-OpSMNTlcgXkf0KV-xRBXSBF9LAmz5i0GVj0-iBwJSLUpTYeHgddWKgoiKVJjUFrCZngM-EXQIoQaSp9ki_orIHnlBSL-h0-9qBi1WfT0eN0-BS0HRWCXIV1YFFqX3-eQhgbZjHXkXGS_EX0t2VIWtuiiLV1ZLdd5pzhSmRmkDrtjOUkueiMdYtVgecMQsNNEuIAQx0JE8VZYoWIrSf2qowbc8F6fhPn623NjHm7f5d_v75iR1us1mfEXLNuXW7whh2azzqvyttG0N9fLK3m
linkProvider IEEE
linkToHtml http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV1LS8NAEF5KFfSk0opv9-DRSDbZvM5FqdiWgkV6K5vd2RqoaUlSf4M_25k0tghevGVDloWdzTy-nW-GsTsjhC9DFyUgIt-RgQYnBqkdIVM3iZQNZd2S5W0QjUbxdJqMW-x-y4UBgDr5DB7osb7LN0u9JqgMg3cqJ4UB-l4gpSc2bK0tooLGM_ECatyAXgxq3Ridkaao0884-dVDpTYhT0f_W_yYdXdcPD7eWpkT1oK8w75e6wxo_DsXfEj1pXhPFYslRw-UlxklCaocMKbnK_SNUZ9xA6QRHFsA8KpQmgByrnLDSwxjcVJt0hpKJqdc-DlHVQg4FT_J5njaOLFK8nn1zj92sGLZZZOnx0mv7zQ9FZwscSvHQKSoAj0GMcZNA6F8bSP0GIHuywD1tgEZKGPRctvUWi0SmWovtspqI1B2_ilr58sczhh3tdChCx64ypfaD9LQSBkYovYmqdD6nHVoE2erTdWMWbN_F3-_vmUH_clwMBs8j14u2eEGuaX8mCvWroo1XLN9_VllZXFTC_0bkRKxLQ
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Abook&rft.genre=proceeding&rft.title=2011+10th+International+Conference+on+Information+Processing+in+Sensor+Networks&rft.atitle=Sequential+Monte+Carlo+for+simultaneous+passive+device-free+tracking+and+sensor+localization+using+received+signal+strength+measurements&rft.au=Xi+Chen&rft.au=Edelstein%2C+A&rft.au=Yunpeng+Li&rft.au=Coates%2C+M&rft.date=2011-04-01&rft.pub=IEEE&rft.isbn=9781612848549&rft.spage=342&rft.epage=353&rft.externalDocID=5779050
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=9781612848549/lc.gif&client=summon&freeimage=true
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=9781612848549/mc.gif&client=summon&freeimage=true
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=9781612848549/sc.gif&client=summon&freeimage=true