Genetic algorithms + data structures = evolution programs (2nd, extended ed.)
Genetic algorithms + data structures = evolution programs (2nd, extended ed.)
An introduction to genetic algorithms
An introduction to genetic algorithms
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
A Comparison of Three Artificial Life Techniques for Reporting Cell Planning in Mobile Computing
IEEE Transactions on Parallel and Distributed Systems
Clustering techniques for dynamic mobility management
Proceedings of the 4th ACM international workshop on Mobility management and wireless access
Differential evolution for solving the mobile location management
Applied Soft Computing
Evolutionary algorithms for location area management
EC'05 Proceedings of the 3rd European conference on Applications of Evolutionary Computing
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Location tracking and establishing end-to-end connectivity is one of the biggest challenges in mobile computing and wireless communication environment. Thus, there is a need to develop algorithms that can be easily implemented and used to solve a wide range of complex location management problems. Location management cost includes search cost and update cost. We have used reporting cells location management scheme to solve the location management problem. It has been reported that optimal reporting cell configuration is an NP complete problem. In the reporting cell location management scheme, few cells in the network are designated as reporting cells; mobile terminals update their positions (location update) upon entering one of these reporting cells. Vicinity of a reporting cell is defined as the number of reachable cells, without going through any other reporting cell. The objective of this paper is to minimize the location management cost of the network through an optimum reporting cell configuration. The proposed approach is giving better performance for bigger networks compared to earlier schemes. We also show the change in the location management cost with respect to different calls per mobility values and network size.