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Journal ArticleDOI

Movement-based location update and selective paging for PCS networks

TLDR
In this paper, the authors proposed a mobility tracking mechanism that combines a movement-based location update policy with a selective paging scheme, where each mobile terminal only keeps a counter of the number of cells visited and a location update is performed when this counter exceeds a predefined threshold value.
Abstract
This paper introduces a mobility tracking mechanism that combines a movement-based location update policy with a selective paging scheme. Movement-based location update is selected for its simplicity. It does not require each mobile terminal to store information about the arrangement and the distance relationship of all cells. In fact, each mobile terminal only keeps a counter of the number of cells visited. A location update is performed when this counter exceeds a predefined threshold value. This scheme allows the dynamic selection of the movement threshold on a per-user basis. This is desirable as different users may have very different mobility patterns. Selective paging reduces the cost for locating a mobile terminal in the expense of an increase in the paging delay. We propose a selective paging scheme which significantly decreases the location tracking cost under a small increase in the allowable paging delay. We introduce an analytical model for the proposed location tracking mechanism which captures the mobility and the incoming call arrival patterns of each mobile terminal. Analytical results are provided to demonstrate the cost-effectiveness of the proposed scheme under various parameters.

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Citations
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Proceedings ArticleDOI

Location-aided routing (LAR) in mobile ad hoc networks

TL;DR: An approach to utilize location information (for instance, obtained using the global positioning system) to improve performance of routing protocols for ad hoc networks is suggested.
Journal ArticleDOI

Location-aided routing (LAR) in mobile ad hoc networks

TL;DR: This paper suggests an approach to utilize location information (for instance, obtained using the global positioning system) to improve performance of routing protocols for ad hoc networks by using location information and presents two algorithms to determine the request zone.
Proceedings ArticleDOI

Predictive distance-based mobility management for PCS networks

TL;DR: An analytical framework is described to evaluate the cost of mobility management for the proposed predictive distance-based scheme, which is obtained through simulations and demonstrated under various mobility and call patterns, update cost, page cost, and frequencies of mobile location inspections.
Journal ArticleDOI

Mobility management in next-generation wireless systems

TL;DR: In this article, current and proposed protocols for mobility management for public land mobile network (PLMN)-based networks, mobile Internet protocol (IP) wireless asynchronous transfer mode (ATM) and satellite networks are discussed in the context of the next evolutionary step of wireless communication networks.
Journal ArticleDOI

Mobility modeling, location tracking, and trajectory prediction in wireless ATM networks

TL;DR: A hierarchical user mobility model is developed that closely represents the movement behavior of a mobile user and that, when used with appropriate pattern matching and Kalman filtering techniques, yields an accurate location prediction algorithm, HLP, or hierarchical location prediction, which provides necessary information for advance resource reservation and advance optimal route establishment in wireless ATM networks.
References
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Journal ArticleDOI

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TL;DR: There is a deep and useful connection between statistical mechanics and multivariate or combinatorial optimization (finding the minimum of a given function depending on many parameters), and a detailed analogy with annealing in solids provides a framework for optimization of very large and complex systems.
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Algorithms for Minimization Without Derivatives

TL;DR: In this paper, a monograph describes and analyzes some practical methods for finding approximate zeros and minima of functions, and some of these methods can be used to find approximate minima as well.
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