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Volumn , Issue , 2014, Pages 135-138

Atmos: A hybrid crowdsourcing approach to weather estimation

Author keywords

Crowd sensing; Mobile sensing; Sensor networks; Smart cities

Indexed keywords

MOBILE DEVICES; SENSOR NETWORKS; SURVEYS;

EID: 84908672840     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2638728.2638780     Document Type: Conference Paper
Times cited : (24)

References (10)
  • 5
    • 84872780364 scopus 로고    scopus 로고
    • Participatory sensing: Crowdsourcing data from mobile smartphones in urban spaces
    • Springer
    • Kanhere, S.S. Participatory sensing: Crowdsourcing data from mobile smartphones in urban spaces. In Distributed Computing and Internet Technology. Springer, 2013, 19-26.
    • (2013) Distributed Computing and Internet Technology , pp. 19-26
    • Kanhere, S.S.1
  • 6
    • 77956615228 scopus 로고    scopus 로고
    • NoiseSPY: A real-time mobile phone platform for urban noise monitoring and mapping
    • Kanjo, E. NoiseSPY: A Real-Time Mobile Phone Platform for Urban Noise Monitoring and Mapping. Mobile Networks and Applications 15, 4 (2009), 562-574.
    • (2009) Mobile Networks and Applications , vol.15 , Issue.4 , pp. 562-574
    • Kanjo, E.1
  • 9
  • 10
    • 84908679350 scopus 로고    scopus 로고
    • The PING Project. http://www.erh.noaa.gov/iln/ping.php.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.