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Volumn , Issue , 2010, Pages 148-153

Effect of rainfall on link quality in an outdoor forest deployment

Author keywords

Experimental; Link quality; RSSI; Wireless sensor network

Indexed keywords

CAPACITIVELY LOADING; EXPERIMENTAL; EXPERIMENTAL EVIDENCE; LINK QUALITY; LONG TERM; MOIST CONDITIONS; PACKET RECEPTION; POSITIVE EFFECTS; PRESENCE OF WATER; RADIATION PATTERNS; RSSI; WIRELESS SENSOR;

EID: 78751550674     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (16)

References (12)
  • 6
    • 53149143940 scopus 로고    scopus 로고
    • Coping with unreliable channels: Efficient link estimation for low-power wireless sensor networks
    • Kanazawa, Japan: IEEE
    • Meier, A., Rein, T., Beutel, J., and Thiele, L. (2008). Coping with unreliable channels: Efficient link estimation for low-power wireless sensor networks. In Proc. 5th Intl Conf. Networked Sensing Systems (INSS 2008). Kanazawa, Japan: IEEE, pages 19-26.
    • Proc. 5th Intl Conf. Networked Sensing Systems (INSS 2008) , pp. 19-26
    • Meier, A.1    Rein, T.2    Beutel, J.3    Thiele, L.4
  • 7
    • 0025573139 scopus 로고
    • Range profiling of the rain rate by airborne weather radar
    • Meneghini, R. and Nakamura, K. (1990). Range profiling of the rain rate by airborne weather radar. Remote Sensing of Environment, 31(3): 193-209.
    • (1990) Remote Sensing of Environment , vol.31 , Issue.3 , pp. 193-209
    • Meneghini, R.1    Nakamura, K.2
  • 12
    • 70350388476 scopus 로고    scopus 로고
    • Predicting link quality using supervised learning in wireless sensor networks
    • Wang, Y., Manonosi, M., and Peh, L.-S. (2007). Predicting link quality using supervised learning in wireless sensor networks. SIGMOBILE Mob. Comput. Commun. Rev., 11(3):71-83.
    • (2007) SIGMOBILE Mob. Comput. Commun. Rev. , vol.11 , Issue.3 , pp. 71-83
    • Wang, Y.1    Manonosi, M.2    Peh, L.-S.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.