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      KCI등재 SCIE SCOPUS

      BtPDR: Bluetooth and PDR-Based Indoor Fusion Localization Using Smartphones = BtPDR: Bluetooth and PDR-Based Indoor Fusion Localization Using Smartphones

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      https://www.riss.kr/link?id=A105558286

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      다국어 초록 (Multilingual Abstract)

      This paper presents a Bluetooth and pedestrian dead reckoning (PDR)-based indoor fusion localization approach (BtPDR) using smartphones. A Bluetooth and PDR-based indoor fusion localization approach can localize the initial position of a smartphone wi...

      This paper presents a Bluetooth and pedestrian dead reckoning (PDR)-based indoor fusion localization approach (BtPDR) using smartphones. A Bluetooth and PDR-based indoor fusion localization approach can localize the initial position of a smartphone with the received signal strength (RSS) of Bluetooth. While a smartphone is moving, BtPDR can track its position by fusing the localization results of PDR and Bluetooth RSS. In addition, BtPDR can adaptively modify the parameters of PDR. The contributions of BtPDR include: a Bluetooth RSS-based Probabilistic Voting (BRPV) localization mechanism, a probabilistic voting-based Bluetooth RSS and PDR fusion method, and a heuristic search approach for reducing the complexity of BRPV. The experiment results in a real scene show that the average positioning error is < 2m, which is considered adequate for indoor location-based service applications. Moreover, compared to the traditional PDR method, BtPDR improves the location accuracy by 42.6%, on average. Compared to state-of-the-art Wireless Local Area Network (WLAN) fingerprint + PDR-based fusion indoor localization approaches, BtPDR has better positioning accuracy and does not need the same offline workload as a fingerprint algorithm.

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      참고문헌 (Reference)

      1 Rai A, "Zee: zero-effort crowdsourcing for indoor localization" 293-304, 2012

      2 Wuk Kim, "The interior-point method for an optimal treatment of bias in trilateration location" 55 (55): 1291-1301, 2006

      3 Chenshu Wu, "Smartphones Based Crowdsourcing for Indoor Localization" 14 (14): 444-457, 2015

      4 Wonho Kang, "SmartPDR: Smartphone-Based Pedestrian Dead Reckoning for Indoor Localization" 15 (15): 2906-2917, 2015

      5 Sichun Wang, "Received Signal Strength-Based Emitter Geolocation Using an Iterative Maximum Likelihood Approach" 68-72, 2013

      6 A. Fink, "Radio-based human tracking for large indoor environments using distributed centroid location estimation" 442-449, 2013

      7 Z Fang, "RSSI variability characterization and calibration method in wireless sensor network" 1532-1537, 2010

      8 F. Yin, "RSS-based sensor network localization in contaminated Gaussian measurement noise" 121-124, 2013

      9 Fang S H, "Principal component localization in indoor WLAN environments" 11 (11): 100-110, 2012

      10 Zuwei Yin, "Peer-to-Peer Indoor Navigation using Smartphones" 35 (35): 1141-1153, 2017

      1 Rai A, "Zee: zero-effort crowdsourcing for indoor localization" 293-304, 2012

      2 Wuk Kim, "The interior-point method for an optimal treatment of bias in trilateration location" 55 (55): 1291-1301, 2006

      3 Chenshu Wu, "Smartphones Based Crowdsourcing for Indoor Localization" 14 (14): 444-457, 2015

      4 Wonho Kang, "SmartPDR: Smartphone-Based Pedestrian Dead Reckoning for Indoor Localization" 15 (15): 2906-2917, 2015

      5 Sichun Wang, "Received Signal Strength-Based Emitter Geolocation Using an Iterative Maximum Likelihood Approach" 68-72, 2013

      6 A. Fink, "Radio-based human tracking for large indoor environments using distributed centroid location estimation" 442-449, 2013

      7 Z Fang, "RSSI variability characterization and calibration method in wireless sensor network" 1532-1537, 2010

      8 F. Yin, "RSS-based sensor network localization in contaminated Gaussian measurement noise" 121-124, 2013

      9 Fang S H, "Principal component localization in indoor WLAN environments" 11 (11): 100-110, 2012

      10 Zuwei Yin, "Peer-to-Peer Indoor Navigation using Smartphones" 35 (35): 1141-1153, 2017

      11 A. Ryu, "Non-GPS positioning sensor network in social manufacturing" 47-52, 2016

      12 C C Pu, "Mitigation of multipath fading effcts to improve indoor RSSI performance" 8 (8): 1884-1886, 2008

      13 Waadt A E, "Maximum likelihood localization estimation based on received signal strength" IEEE 1-5, 2010

      14 Liu Y, "Location, localization, and localizability" 25 (25): 274-297, 2010

      15 Yohan Chon, "LifeMap: A Smartphone-Based Context Provider for Location-Based Services" 10 (10): 58-67, 2011

      16 Lyu-Han Chen, "Intelligent Fusion of Wi-Fi and Inertial Sensor-Based Positioning Systems for Indoor Pedestrian Navigation" 14 (14): 4034-4042, 2014

      17 Bonhyun Koo, "Integrated PDR/fingerprinting indoor location tracking with outdated radio map" 1-5, 2014

      18 Au W S A, "Indoor tracking and navigation using received signal strength and compressive sensing on a mobile device" 12 (12): 2050-2062, 2013

      19 Fard H K, "Indoor positioning of mobile devices with agile iBeacon deployment" 275-279, 2015

      20 Radu V, "HiMLoc: Indoor smartphone localization via activity aware Pedestrian Dead Reckoning with selective crowdsourced WiFi fingerprinting" 1-10, 2013

      21 V Daiya, "Experimental analysis of RSSI for distance and position estimation" 1093-1098, 2011

      22 Gentile, "Distributed sensor location through linear programming with triangle inequality constraints" 4020-4027, 2006

      23 Perttula A, "Distributed Indoor Positioning System With Inertial Measurements and Map Matching" 63 (63): 2682-2695, 2014

      24 Kaishun Wu, "CSI-Based Indoor Localization" 24 (24): 1300-1309, 2013

      25 ZHAO Yongxiang, "Application of Kalman Filter in Indoor Positioning System for Real -Time Tracking" 25 (25): 696-700, 2009

      26 Harle R, "A survey of indoor inertial positioning systems for pedestrians" 15 (15): 1281-1293, 2013

      27 Z. Hui-Qing, "A new indoor location technology using back propagation neural network and improved centroid algorithm" 5460-5463, 2012

      28 Jimenez A.R, "A comparison of Pedestrian Dead-Reckoning algorithms using a low-cost MEMS IMU" 37-42, 2009

      29 Luan V N, "A Human Foot Motion Localization Algorithm Using IMU" 4379-4384, 2016

      30 L. Zhang, "A Comprehensive Study of Bluetooth Fingerprinting-Based Algorithms for Localization" 300-305, 2013

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      학술지 이력

      학술지 이력
      연월일 이력구분 이력상세 등재구분
      학술지등록 한글명 : KSII Transactions on Internet and Information Systems
      외국어명 : KSII Transactions on Internet and Information Systems
      2023 평가예정 해외DB학술지평가 신청대상 (해외등재 학술지 평가)
      2020-01-01 평가 등재학술지 유지 (해외등재 학술지 평가) KCI등재
      2013-10-01 평가 등재학술지 선정 (기타) KCI등재
      2011-01-01 평가 등재후보학술지 유지 (기타) KCI등재후보
      2009-01-01 평가 SCOPUS 등재 (신규평가) KCI등재후보
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      학술지 인용정보

      학술지 인용정보
      기준연도 WOS-KCI 통합IF(2년) KCIF(2년) KCIF(3년)
      2016 0.45 0.21 0.37
      KCIF(4년) KCIF(5년) 중심성지수(3년) 즉시성지수
      0.32 0.29 0.244 0.03
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