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      KCI등재 SCI SCIE SCOPUS

      Seamless Routing and Cooperative Localization of Multiple Mobile Robots for Search and Rescue Application

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      https://www.riss.kr/link?id=A103375477

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      다국어 초록 (Multilingual Abstract)

      In particular, for a practical mobile robot team to perform such a task as that of carrying out a search and rescue mission in a disaster area, the network connectivity and localization have to be guaranteed even in an environment where the network infrastructure is destroyed or a Global Positioning System is unavailable. This paper proposes the new collective intelligence network management architecture of multiple mobile robots supporting seamless network connectivity and cooperative localization. The proposed architecture includes a resource manager that makes the robots move around and not disconnect from the network link by considering the strength of the network signal and link quality. The location manager in the architecture supports localizing robots seamlessly by finding the relative locations of the robots as they move from a global outdoor environment to a local indoor position. The proposed schemes assuring network connectivity and localization were validated through numerical simulations and applied to a search and rescue robot team.
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      In particular, for a practical mobile robot team to perform such a task as that of carrying out a search and rescue mission in a disaster area, the network connectivity and localization have to be guaranteed even in an environment where the network in...

      In particular, for a practical mobile robot team to perform such a task as that of carrying out a search and rescue mission in a disaster area, the network connectivity and localization have to be guaranteed even in an environment where the network infrastructure is destroyed or a Global Positioning System is unavailable. This paper proposes the new collective intelligence network management architecture of multiple mobile robots supporting seamless network connectivity and cooperative localization. The proposed architecture includes a resource manager that makes the robots move around and not disconnect from the network link by considering the strength of the network signal and link quality. The location manager in the architecture supports localizing robots seamlessly by finding the relative locations of the robots as they move from a global outdoor environment to a local indoor position. The proposed schemes assuring network connectivity and localization were validated through numerical simulations and applied to a search and rescue robot team.

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      참고문헌 (Reference)

      1 R. Parker, "Vehicular Node Localization Using Received-Signal-Strength Indicator" 56 (56): 3371-3380, 2007

      2 M. McClure, "The DARPA LANdroids Program" 7332 : 2009

      3 R. Kurazume, "Study on Cooperative Positioning System – Optimum Moving Strategies for CPS-III" 2896-2903, 1998

      4 J. Fink, "Robust Control of Mobility and Communications in Autonomous Robot Teams" 1 : 290-309, 2013

      5 S. Zickler, "RSS-Based Localization and Tethering for Moving Robots in Unknown Environments" 5466-5471, 2010

      6 C.M. Bishop, "Pattern Recognition and Machine Learning" Springer 4 (4): 2006

      7 J. Fink, "Online Methods for Radio Signal Mapping with Mobile Robots" 1940-1945, 2010

      8 Choulsoo Jang, "OPRoS: A New Component-Based Robot Software Platform" 한국전자통신연구원 32 (32): 646-656, 2010

      9 M.M. Zavlanos, "Graph-Theoretic Connectivity Control of Mobile Robot Networks" 99 (99): 1525-1540, 2011

      10 H. Long, "Distributed Extended Kalman Filter Based on Consensus Filter for Wireless Sensor Network" 4315-4319, 2012

      1 R. Parker, "Vehicular Node Localization Using Received-Signal-Strength Indicator" 56 (56): 3371-3380, 2007

      2 M. McClure, "The DARPA LANdroids Program" 7332 : 2009

      3 R. Kurazume, "Study on Cooperative Positioning System – Optimum Moving Strategies for CPS-III" 2896-2903, 1998

      4 J. Fink, "Robust Control of Mobility and Communications in Autonomous Robot Teams" 1 : 290-309, 2013

      5 S. Zickler, "RSS-Based Localization and Tethering for Moving Robots in Unknown Environments" 5466-5471, 2010

      6 C.M. Bishop, "Pattern Recognition and Machine Learning" Springer 4 (4): 2006

      7 J. Fink, "Online Methods for Radio Signal Mapping with Mobile Robots" 1940-1945, 2010

      8 Choulsoo Jang, "OPRoS: A New Component-Based Robot Software Platform" 한국전자통신연구원 32 (32): 646-656, 2010

      9 M.M. Zavlanos, "Graph-Theoretic Connectivity Control of Mobile Robot Networks" 99 (99): 1525-1540, 2011

      10 H. Long, "Distributed Extended Kalman Filter Based on Consensus Filter for Wireless Sensor Network" 4315-4319, 2012

      11 L. Sabattini, "Decentralized Connectivity Maintenance for Cooperative Control of Mobile Robotic Systems" 32 (32): 1411-1423, 2013

      12 Texas Instruments, "CC2520 DATASHEET"

      13 N. Bezzo, "A Decentralized Connectivity Strategy for Mobile Router Swarms" 4501-4506, 2011

      14 M. Efatmaneshnik, "A Cooperative Positioning Algorithm for DSRC Enabled Vehicular Networks" 22 : 117-129, 2001

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      학술지 이력

      학술지 이력
      연월일 이력구분 이력상세 등재구분
      2023 평가예정 해외DB학술지평가 신청대상 (해외등재 학술지 평가)
      2020-01-01 평가 등재학술지 유지 (해외등재 학술지 평가) KCI등재
      2005-09-27 학술지등록 한글명 : ETRI Journal
      외국어명 : ETRI Journal
      KCI등재
      2003-01-01 평가 SCI 등재 (신규평가) KCI등재
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      학술지 인용정보

      학술지 인용정보
      기준연도 WOS-KCI 통합IF(2년) KCIF(2년) KCIF(3년)
      2016 0.78 0.28 0.57
      KCIF(4년) KCIF(5년) 중심성지수(3년) 즉시성지수
      0.47 0.42 0.4 0.06
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