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      KCI등재 SCIE SCOPUS

      Exploiting Mobility for Efficient Data Dissemination in Wireless Sensor Networks

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      https://www.riss.kr/link?id=A104256380

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      다국어 초록 (Multilingual Abstract)

      In this paper, we introduce a novelmobility model for mobile sinks in which the sinks move towards randomly distributed destinations, where each destination is associated with a mission. The novel mobility model is termed the random mobility with dest...

      In this paper, we introduce a novelmobility model for mobile
      sinks in which the sinks move towards randomly distributed
      destinations, where each destination is associated with a mission.
      The novel mobility model is termed the random mobility with destinations.
      There have been many studies on mobile sinks; however,
      they merely support two extreme cases of sink mobility. The first
      case features the most common and general mobility, with the sinks
      moving randomly, unpredictably, and inartificially. The other case
      takes into account mobility only along predefined or determined
      paths such that the sinks can gather data from sensor nodes with
      minimum overhead. Unfortunately, these studies for the common
      mobility and predefined path mobility might not suit for supporting
      the random mobility with destinations. In order to support random
      mobility with destination, we propose a new protocol, in which
      the source nodes send their data to the next movement path of a
      mobile sink. To implement the proposed protocol, we first present
      a mechanism for predicting the next movement path of a mobile
      sink based on its previous movement path. With the information
      about predictedmovement path included in a query packet, we further
      present a mechanism that source nodes send energy-efficiently
      their data along the next movement path before arriving of the mobile
      sink. Last, we present mechanisms for compensating the difference
      between the predicted movement path and the real movement
      path and for relaying the delayed data after arriving of the mobile
      sink on the next movement path, respectively. Simulation results
      show that the proposed protocol achieves better performance than
      the existing protocols.

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      참고문헌 (Reference)

      1 K. Feng, "Velocity-assisted predictive mobility and location-aware routing protocols for mobile ad hoc networks" 57 (57): 448-464, 2008

      2 A. Chakrabarti, "Using predictable observer mobility for power efficient design of sensor networks" 2003

      3 J. Polastre, "Telos: Enabling ultra-low power wireless research" 2005

      4 H. Luo, "TTDD: Two-tier data dissemination in large-scale wireless sensor networks" 2002

      5 "Scalable Network Technologies"

      6 G. Xing, "Rendezvous design algorithms for wireless sensor networks with a mobile base station" 2008

      7 J. Albowicz, "Recursive position estimation in sensor networks" 2001

      8 S. Chakraborty, "On the effectiveness of movement prediction to reduce energy consumption in wireless communication" 5 (5): 157-169, 2006

      9 F. Yu, "Mobility-based predictive call admission control and bandwidth reservation in wireless cellular networks" 38 : 577-589, 2002

      10 T. Liu, "Mobility modeling, location tracking, and trajectory prediction in wireless ATM networks" 16 (16): 922-936, 1998

      1 K. Feng, "Velocity-assisted predictive mobility and location-aware routing protocols for mobile ad hoc networks" 57 (57): 448-464, 2008

      2 A. Chakrabarti, "Using predictable observer mobility for power efficient design of sensor networks" 2003

      3 J. Polastre, "Telos: Enabling ultra-low power wireless research" 2005

      4 H. Luo, "TTDD: Two-tier data dissemination in large-scale wireless sensor networks" 2002

      5 "Scalable Network Technologies"

      6 G. Xing, "Rendezvous design algorithms for wireless sensor networks with a mobile base station" 2008

      7 J. Albowicz, "Recursive position estimation in sensor networks" 2001

      8 S. Chakraborty, "On the effectiveness of movement prediction to reduce energy consumption in wireless communication" 5 (5): 157-169, 2006

      9 F. Yu, "Mobility-based predictive call admission control and bandwidth reservation in wireless cellular networks" 38 : 577-589, 2002

      10 T. Liu, "Mobility modeling, location tracking, and trajectory prediction in wireless ATM networks" 16 (16): 922-936, 1998

      11 J. Luo, "MobiRoute: Routing toward a Mobile Sink for Improving Lifetime in Sensor Netowrks" 2006

      12 H. Kim, "Minimum-energy asynchronous dissemination to mobile sinks in wireless sensor networks" 2003

      13 E. Felemban, "MMSPEED: Multipath multi-speed protocol for QoS guarantee of reliability and timeliness in wireless sensor networks" 5 (5): 738-754, 2006

      14 Y.-B. Ko, "Location-aided routing (LAR) in mobile adhoc networks" 6 (6): 307-321, 2000

      15 G. Wang, "Local update-based routing protocol in wireless sensor networks with mobile sinks" 2007

      16 A. Bhattacharya, "LeZi-update: An information-theoretic approach to track mobile users in PCS networks" 1999

      17 J. Luo, "Joint mobility and routing for lifetime elongation in wireless sensor networks" 2005

      18 A. Kansal, "Intelligent fluid infrastructure for embedded networks" 2004

      19 A. Visvannathan, "Hierarchical data dissemination scheme for large scale sensor networks" 2005

      20 N. Bulusu, "Gps-less low cost outdoor localization for very small devices" 7 (7): 28-34, 2000

      21 Y. Xu, "Geography-informed energy conservation for ad hoc routing" 2001

      22 B. Karp, "GPSR: Greedy perimeter stateless routing for wireless networks" 2000

      23 S. Gandham, "Energy efficient schemes for wireless sensor networks with multiple mobile base stations" 2003

      24 J. Jannink, "Efficient and flexible location management techniques for wireless communication system" 3 (3): 361-374, 1997

      25 R. Shah, "Data MULEs:Modeling and analysis of a three-tier architecture for sparse sensor networks" 215-233, 2003

      26 Z. Zhou, "An energy-efficient data-dissemination protocol in wireless sensor networks" 2006

      27 I. F. Akyildiz, "A survey on sensor networks" 102-114, 2002

      28 D. Levine, "A resource estimation and call admission algorithm for wireless multimedia networks using the shadow cluster concept" 5 (5): 1-12, 1997

      29 E. Lee, "A predictable mobility-based data dissemiantion protocol for wireless sensor netowrks" 2008

      30 E. Lee, "A novel mechanism to support mobility of users in wireless sensor networks based on multiple static sinks" 2007

      31 H. Dai, "A node-centric load balancing algorithm for wireless sensor networks" 2003

      32 S. Basagni, "A distance routing effect algorithm for mobility (Dream)" 1998

      33 S. Park, "A communication architecture to reflect user mobility issue in wireless sensor fields" 2007

      34 G. Liu, "A Class of Mobile Motion Prediction Algorithms for Wireless Mobile Computing and Communications" 1 (1): 113-121, 1996

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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
      2005-01-01 평가 SCI 등재 (등재후보1차) KCI등재
      2004-01-01 평가 등재후보학술지 유지 (등재후보2차) KCI등재후보
      2003-01-01 평가 등재후보 1차 PASS (등재후보1차) KCI등재후보
      2001-07-01 평가 등재후보학술지 선정 (신규평가) KCI등재후보
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      학술지 인용정보

      학술지 인용정보
      기준연도 WOS-KCI 통합IF(2년) KCIF(2년) KCIF(3년)
      2016 0.74 0.09 0.53
      KCIF(4년) KCIF(5년) 중심성지수(3년) 즉시성지수
      0.42 0.34 0.264 0.02
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