Computer
Location management for mobile commerce applications in wireless Internet environment
ACM Transactions on Internet Technology (TOIT)
CapProbe: a simple and accurate capacity estimation technique for wired and wireless environments
Proceedings of the joint international conference on Measurement and modeling of computer systems
Packet-dispersion techniques and a capacity-estimation methodology
IEEE/ACM Transactions on Networking (TON)
Geo-predictive real-time media delivery in mobile environment
Proceedings of the 3rd workshop on Mobile video delivery
Improving QoS in High-Speed Mobility Using Bandwidth Maps
IEEE Transactions on Mobile Computing
Mobile network evolution: a revolution on the move
IEEE Communications Magazine
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Increasing integration scales and improvements in wireless comunications have promoted the emergence of smartphones, featuring a computing power, energy consumption, new ways of interaction with the user, and communication bandwidth without precedent. The great popularity and wide spread use of these devices have lead to the apparition of a large number of different applications that try to exploit their outstanding features. Most of these applications rely on steady communication bandwidths to provide a satisfactory user experience. Unfortunately the quality of mobile networks can vary significantly from one location to another, negatively affecting the quality of service (QoS) perceived by the user. A possible approach to mitigate this problem consists in using geotagged information to build coverage, signals and band-witdhs maps, which could be used by applications to react upon upcoming drops of signal, and improve the availability of comunications offered in these scenarios. User perception depends on app's QoS which, in some cases, relies on the continue reception of information. Buffering can serve as a mean to tolerate connection drops which may led to undesirable effects in apps demanding continuous data flows. Geotagged information may help apps to anticipate connection drops and adjust the degree of buffering to current location of devices. A previous essential step towards the provision of this kind of solutions requires recollection of geotagged mobile network data, which is essential to build accurate maps reflecting the quality of mobile communications in each geotagged position. Crowdsourcing techniques may accelerate this data recollection by seamlessly distributing the application among smartphone users willing to participate in the experimentation.