In a highly mobile and networked society the need to download large amounts of data on a mobile network is inevitable. This thesis analyzes the predictability of download speeds in mobile networks to be able to schedule downloads while in areas with high download speeds. This decreases the download time and thus the energy wasted downloading. The data analyzed is from Bredbandskollen. We find that in areas of 200 x 200 meters the download speed is easiest to predict due to a low covariance. We also find that areas with high average download speed are more likely to have neighboring areas with similar download speed than areas with low average download speed, making it easier to predict the download speed when moving between such locations. Finally, we show paths in urban areas where a user can move long distances and experience similar download speeds.
| Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:liu-119457 |
| Date | January 2015 |
| Creators | Linder, Tova, Persson, Pontus |
| Publisher | Linköpings universitet, Institutionen för datavetenskap, Linköpings universitet, Tekniska fakulteten, Linköpings universitet, Institutionen för datavetenskap, Linköpings universitet, Tekniska fakulteten |
| Source Sets | DiVA Archive at Upsalla University |
| Language | English |
| Detected Language | English |
| Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
| Format | application/pdf |
| Rights | info:eu-repo/semantics/openAccess |
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