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Volumn 5518 LNCS, Issue PART 2, 2009, Pages 914-921

Analysis and design of an object tracking service for intelligent environments

Author keywords

Indoor; Location; Particle filter; RSSI; Tracking; ZigBee

Indexed keywords

ASSISTED LIVING; DISTRIBUTED COMPUTER SYSTEMS; LOCATION; MONTE CARLO METHODS; NEURAL NETWORKS; SENSOR NETWORKS; SOFT COMPUTING; SURFACE DISCHARGES; ZIGBEE;

EID: 77952566504     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-02481-8_139     Document Type: Conference Paper
Times cited : (2)

References (5)
  • 5
    • 33646545666 scopus 로고    scopus 로고
    • A bayesian sampling approach to in-door localization of wireless devices using received signal strength indication
    • DOI 10.1109/PERCOM.2005.1, 1392744, Proceedings - Third IEEE International Conference on Pervasive Computing and Communications, PerCom 2005
    • Seshadri, V., Zaruba, G.V., Huber, M.: A bayesian sampling approach to in-door localization of wireless devices using received signal strength indication. In: PERCOM 2005: Proceedings of the Third IEEE International Conference on Pervasive Computing and Communications, Washington, DC, USA, pp. 75-84. IEEE Computer Society, Los Alamitos (2005) (Pubitemid 43727917)
    • (2005) Proceedings - Third IEEE International Conference on Pervasive Computing and Communications, PerCom 2005 , vol.2005 , pp. 75-84
    • Seshadri, V.1    Zaruba, G.V.2    Huber, M.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.