Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/52706
Título: | Offloading surrogates characterization via mobile crowdsensing |
Autor(es): | Lima, Emanuel Aguiar, Ana Carvalho, Paulo |
Palavras-chave: | Attributes Characterization Offloading Wi-Fi |
Data: | 2017 |
Editora: | Association for Computing Machinery (ACM) |
Resumo(s): | This paper uses data mining of a mobile crowdsensed dataset of passive WiFi scans to define attributes that can characterize a chaotic WiFi deployment with respect to offloading opportunities. Besides indicators of signal quality, we define indicators of contact windows and contact opportunities with an Access Point (AP). We apply k-means clustering to identify classes of APs, and observe that interference metrics are more relevant than plain RSSI; that contact window metrics can be estimated using only APs’ coverage data; and that popularity and importance can characterize APs whether the offloading targets many or only a few users. |
Tipo: | Artigo em ata de conferência |
URI: | https://hdl.handle.net/1822/52706 |
ISBN: | 9781450354783 |
DOI: | 10.1145/3139243.3139253 |
Arbitragem científica: | yes |
Acesso: | Acesso restrito UMinho |
Aparece nas coleções: |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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Crowdsense 2017.pdf Acesso restrito! | 864,29 kB | Adobe PDF | Ver/Abrir |