Optimization of wireless resources for personal communications mobility tracking
IEEE/ACM Transactions on Networking (TON)
Movement-based location update and selective paging for PCS networks
IEEE/ACM Transactions on Networking (TON)
Mobile users: to update or not to update?
Wireless Networks
Dynamic mobile user location update for wireless PCS networks
Wireless Networks
Minimizing the average cost of paging under delay constraints
Wireless Networks
Mobile user location update and paging under delay constraints
Wireless Networks
LeZi-update: an information-theoretic approach to track mobile users in PCS networks
MobiCom '99 Proceedings of the 5th annual ACM/IEEE international conference on Mobile computing and networking
Optimal dynamic mobility management for PCS networks
IEEE/ACM Transactions on Networking (TON)
Neural Networks: A Comprehensive Foundation
Neural Networks: A Comprehensive Foundation
Efficient Location Management by Movement Prediction of the Mobile Host
IWDC '02 Proceedings of the 4th International Workshop on Distributed Computing, Mobile and Wireless Computing
A hybrid neural architecture and its application to temperature prediction
ICANN/ICONIP'03 Proceedings of the 2003 joint international conference on Artificial neural networks and neural information processing
User mobility modeling and characterization of mobility patterns
IEEE Journal on Selected Areas in Communications
A profile-based location strategy and its performance
IEEE Journal on Selected Areas in Communications
Mobility modeling, location tracking, and trajectory prediction in wireless ATM networks
IEEE Journal on Selected Areas in Communications
An alternative strategy for location tracking
IEEE Journal on Selected Areas in Communications
Adaptive user movement prediction for advanced location-aware services
SoftCOM'09 Proceedings of the 17th international conference on Software, Telecommunications and Computer Networks
Mobile Networks and Applications
An adaptive location prediction model based on fuzzy control
Computer Communications
Journal of Mobile Multimedia
User movement prediction based on traffic topology for value added services
KES'11 Proceedings of the 15th international conference on Knowledge-based and intelligent information and engineering systems - Volume Part I
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In this paper, a novel technique for location prediction of mobile users has been proposed, and a paging technique based on this predicted location is developed. As a mobile user always travels with a destination in mind, the movements of users, are, in general, preplanned, and are highly dependent on the individual characteristics. Hence, neural networks with its learning and generalization ability may act as a suitable tool to predict the location of a terminal provided it is trained appropriately by the personal mobility profile of individual user. For prediction, the performance of a multi-layer perceptron (MLP) network has been studied first. Next, to recognize the inherent clusters in the input data, and to process it accordingly, a hybrid network composed of a self-organizing feature map (SOFM) network followed by a number of MLP networks has been employed. Simulation studies show that the latter performs better for location management. This approach is free from all unrealistic assumptions about the movement of the users. It is applicable to any arbitrary cell architecture. It attempts to reduce the total location management cost and paging delay, in general.