The shadow cluster concept for resource allocation and call admission in ATM-based wireless networks
MobiCom '95 Proceedings of the 1st annual international conference on Mobile computing and networking
Optimal prefetching via data compression
Journal of the ACM (JACM)
A class of mobile motion prediction algorithms for wireless mobile computing and communication
Mobile Networks and Applications - Special issue: routing in mobile communications networks
LeZi-update: an information-theoretic framework for personal mobility tracking in PCS networks
Wireless Networks - Selected Papers from Mobicom'99
Computer Networks: The International Journal of Computer and Telecommunications Networking
Location prediction algorithms for mobile wireless systems
Wireless internet handbook
The changing usage of a mature campus-wide wireless network
Proceedings of the 10th annual international conference on Mobile computing and networking
Evaluating opportunistic routing protocols with large realistic contact traces
Proceedings of the second ACM workshop on Challenged networks
The changing usage of a mature campus-wide wireless network
Computer Networks: The International Journal of Computer and Telecommunications Networking
A comprehensive mobility management solution for handling peak load in cellular network scenarios
Proceedings of the 6th ACM international symposium on Mobility management and wireless access
Predictive QoS routing to mobile sinks in wireless sensor networks
IPSN '09 Proceedings of the 2009 International Conference on Information Processing in Sensor Networks
WCNC'09 Proceedings of the 2009 IEEE conference on Wireless Communications & Networking Conference
Supporting mobile streaming services in future publish/subscribe networks
WTS'09 Proceedings of the 2009 conference on Wireless Telecommunications Symposium
Performance evaluation of LZ-based location prediction algorithms in cellular networks
IEEE Communications Letters
Protecting location privacy against inference attacks
Proceedings of the 17th ACM conference on Computer and communications security
Protecting location privacy against inference attacks
Proceedings of the 9th annual ACM workshop on Privacy in the electronic society
PreCon: expressive context prediction using stochastic model checking
UIC'11 Proceedings of the 8th international conference on Ubiquitous intelligence and computing
Mobility prediction-based smartphone energy optimization for everyday location monitoring
Proceedings of the 9th ACM Conference on Embedded Networked Sensor Systems
Next place prediction using mobility Markov chains
Proceedings of the First Workshop on Measurement, Privacy, and Mobility
Contextual conditional models for smartphone-based human mobility prediction
Proceedings of the 2012 ACM Conference on Ubiquitous Computing
Improving location prediction services for new users with probabilistic latent semantic analysis
Proceedings of the 2012 ACM Conference on Ubiquitous Computing
Are call detail records biased for sampling human mobility?
ACM SIGMOBILE Mobile Computing and Communications Review
CAMEO: a middleware for mobile advertisement delivery
Proceeding of the 11th annual international conference on Mobile systems, applications, and services
Improving route prediction through user journey detection
Proceedings of the 21st ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
A context-rich and extensible framework for spontaneous smartphone networking
Computer Communications
Where to go from here? Mobility prediction from instantaneous information
Pervasive and Mobile Computing
Breaking the habit: Measuring and predicting departures from routine in individual human mobility
Pervasive and Mobile Computing
Time-clustering-based place prediction for wireless subscribers
IEEE/ACM Transactions on Networking (TON)
Scanless fast handoff technique based on global Path-Cache for WLANs
The Journal of Supercomputing
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Location is an important feature for many applications, and wireless networks may serve their clients better by anticipating client mobility. As a result, many location predictors have been proposed in the literature, though few have been evaluated with empirical evidence. This paper reports on the results of the first extensive empirical evaluation of location predictors using a two-year trace of the mobility patterns of more than 6,000 users on Dartmouth's campus-wide Wi-Fi wireless network. The surprising results provide critical evidence for anyone designing or using mobility predictors. We implemented and compared the prediction accuracy of several location predictors drawn from four major families of domain-independent predictors, namely, Markov-based, compression-based, PPM, and SPM predictors. We found that low-order Markov predictors performed as well or better than the more complex and more space-consuming compression-based predictors.