BreadCrumbs: forecasting mobile connectivity

By Anthony J. Nicholson, Brian D. Noble. ACM/IEEE International Conference on Mobile Computing and Networking, 2008

400 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Mobile Data Offloading: How Much Can WiFi Deliver? (2013, methodology): “In this paper, we offer rough and rule-of-thumb answers to these questions.”
Augmenting mobile 3G using WiFi (2010, methodology): “Breadcrumbs predicts future WiFi connectivity based on a model of the environment [16].”
Energy-efficient rate-adaptive GPS-based positioning for smartphones (2010, methodology): “BreadCrumbs [19] uses the space history of a user to train a mobility model for each specific user and use it to schedule network usage using the connectivity forecasts.”
LiveLab (2011, background): “For mobile users, a fine-grained coverage map that provides the performance of available networks at a location and time can help the client selects the network interface properly [6], and makes judicious tradeoffs between energy efficiency and communication delay [5].”
NextPlace: A Spatio-temporal Prediction Framework for Pervasive Systems (2011, background): “Another system for the prediction of future network connectivity based on a second-order Markov model is BreadCrumbs [23].”