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)
Location update optimization in personal communication systems
Wireless Networks
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
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
On the design of energy-efficient location tracking mechanism in location-aware computing
Mobile Information Systems
A stochastic viewpoint on the generation of spatiotemporal datasets
ICCSA'05 Proceedings of the 2005 international conference on Computational Science and Its Applications - Volume Part II
Exploiting mobility as context for energy-efficient location-aware computing
EUC'05 Proceedings of the 2005 international conference on Embedded and Ubiquitous Computing
Modeling mobility and workload for wireless metropolitan area networks
Computer Communications
Hi-index | 0.24 |
This paper considers the location-tracking problem in PCS networks. Solutions to this problem in fact highly depend on the mobility patterns of mobile subscribers [ACM DIAL-M (1999) 72]. In the literature, many works have assumed a simple random walk model, where mobile subscribers always stay in a roaming state and can move in any direction with equal probability. In this paper, we propose a new Stop-or-Move Mobility (SMM) model, which is characterized by the following features: 'transition between stop and move', 'infrequent transition', 'memory of roaming direction', and 'oblivious in different moves'. Based on this mobility model, a static and an adaptive location-tracking Scheme are developed. The schemes only need to keep very little information for each user. Analyses and simulations are provided, which show that the proposed schemes are quite prospective.