Blue-Fi, Proceedings of the 7th international conference on Mobile systems, applications, and services, Mobisys '09 ,
DOI : 10.1145/1555816.1555842
Augmenting mobile 3G using WiFi, Proceedings of the 8th international conference on Mobile systems, applications, and services, MobiSys '10 ,
DOI : 10.1145/1814433.1814456
Energy consumption in mobile phones, Proceedings of the 9th ACM SIGCOMM conference on Internet measurement conference, IMC '09 ,
DOI : 10.1145/1644893.1644927
The scaling laws of human travel, Nature, vol.6, issue.7075, pp.462-465, 2006. ,
DOI : 10.1038/nature04292
Human mobility prediction based on individual and collective geographical preferences, 13th International IEEE Conference on Intelligent Transportation Systems ,
DOI : 10.1109/ITSC.2010.5625119
A survey of mobility models for ad hoc network research, Wireless Communications and Mobile Computing, pp.483-502, 2002. ,
DOI : 10.1002/wcm.72
Impact of Human Mobility on Opportunistic Forwarding Algorithms, IEEE Transactions on Mobile Computing, vol.6, issue.6, pp.606-620, 2007. ,
DOI : 10.1109/TMC.2007.1060
Understanding individual human mobility patterns, Nature, vol.89, issue.7196, pp.779-782, 2008. ,
DOI : 10.1038/nature06958
Mobility models for vehicular ad hoc networks: a survey and taxonomy, IEEE Communications Surveys & Tutorials, vol.11, issue.4, pp.19-41, 2009. ,
DOI : 10.1109/SURV.2009.090403
Comparing GPS Receivers: A Field Study, URISA Journal, vol.18, pp.19-23, 2006. ,
SLAW: A New Mobility Model for Human Walks, IEEE INFOCOM 2009, The 28th Conference on Computer Communications ,
DOI : 10.1109/INFCOM.2009.5061995
Mobile Data Offloading: How Much Can WiFi Deliver?, CoNext'10 ,
DOI : 10.1109/tnet.2012.2218122
Modeling people's place naming preferences in location sharing, Proceedings of the 12th ACM international conference on Ubiquitous computing, Ubicomp '10 ,
DOI : 10.1145/1864349.1864362
BreadCrumbs, Proceedings of the 14th ACM international conference on Mobile computing and networking, MobiCom '08 ,
DOI : 10.1145/1409944.1409952
Activity-Aware Map: Identifying Human Daily Activity Pattern Using Mobile Phone Data, HBU'10 ,
DOI : 10.1126/science.1177170
http://poi.gps-data-team.com ,
Energy-delay tradeoffs in smartphone applications, Proceedings of the 8th international conference on Mobile systems, applications, and services, MobiSys '10 ,
DOI : 10.1145/1814433.1814459
Mobility Modeling of Outdoor Scenarios for MANETs, 38th Annual Simulation Symposium ,
DOI : 10.1109/ANSS.2005.29
WhereStore, Proceedings of the 1st ACM Workshop on Mobile Cloud Computing & Services Social Networks and Beyond, MCS '10 ,
DOI : 10.1145/1810931.1810932
Measuring serendipity, Proceedings of the 9th ACM SIGCOMM conference on Internet measurement conference, IMC '09 ,
DOI : 10.1145/1644893.1644926
Taming user-generated content in mobile networks via Drop Zones, 2011 Proceedings IEEE INFOCOM ,
DOI : 10.1109/INFCOM.2011.5935121
Understanding mobility based on GPS data, Proceedings of the 10th international conference on Ubiquitous computing, UbiComp '08 ,
DOI : 10.1145/1409635.1409677
Mining interesting locations and travel sequences from GPS trajectories, Proceedings of the 18th international conference on World wide web, WWW '09 ,
DOI : 10.1145/1526709.1526816
Extracting human mobility patterns from GPS-based traces, 2010 IFIP Wireless Days ,
DOI : 10.1109/WD.2010.5657695