Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/71556
Título: | Impacts of human mobility in mobile data offloading |
Autor(es): | Lima, Emanuel Ribeiro Aguiar, Ana Cristina Costa Carvalho, Paulo Viana, Aline Carneiro |
Palavras-chave: | EDA Human Mobility Offloading Systems Design |
Data: | 2018 |
Editora: | Association for Computing Machinery (ACM) |
Citação: | Emanuel Lima, Ana Aguiar, Paulo Carvalho, and Aline Carneiro Viana. 2018. Impacts of Human Mobility in Mobile Data Offloading. In Proceedings of the 13th Workshop on Challenged Networks (CHANTS '18). Association for Computing Machinery, New York, NY, USA, 39–46. DOI:https://doi.org/10.1145/3264844.3264849 |
Resumo(s): | Due to the limited coverage of WiFi APs, users’ mobility has a severe impact on the performance of mobile offloading systems. The present study is a contribution in this context as offloading zones are identified and characterized from individual GPS trajectories when small offloading time windows are considered. The results show that (i) attending to users mobility, ten seconds is the minimum offloading time window that can be considered; (ii) offloading predictive methods can have variable performance according to the period of the day; and (iii) per-user opportunistic decision models can determine offloading system design and performance. |
Tipo: | Artigo em ata de conferência |
URI: | https://hdl.handle.net/1822/71556 |
ISBN: | 9781450359269 |
DOI: | 10.1145/3264844.3264849 |
Versão da editora: | https://dl.acm.org/doi/abs/10.1145/3264844.3264849 |
Arbitragem científica: | yes |
Acesso: | Acesso restrito UMinho |
Aparece nas coleções: |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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Impacts_of_Human_Mobility_in_Mobile_Data_Offloading.pdf Acesso restrito! | 630,18 kB | Adobe PDF | Ver/Abrir |