Name
Abstract | ||
|---|---|---|
In this paper, we study the Reporting Cells scheme, a popular strategy used to control the movement of mobile terminals in the Public Land Mobile Networks. In contrast to previously published works, we propose a multiobjective approach that allows us to avoid the drawbacks of the linear aggregation of the objective functions. Furthermore, we provide a novel formulation to take into account aspects of the Reporting Cells that have not been considered in previous works. Experimental results show that our proposal outperforms other optimization techniques published in the literature. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1007/978-3-319-07617-1_26 | HAIS |
Keywords | Field | DocType |
mobile location management,multiobjective optimization,non-dominated sorting genetic algorithm 2,reporting cells planning problem | Computer science,Public land,Multi-objective optimization,Sorting,Artificial intelligence,Machine learning | Conference |
Volume | ISSN | Citations |
8480 | 0302-9743 | 3 |
PageRank | References | Authors |
0.40 | 9 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Víctor Berrocal-Plaza | 1 | 26 | 6.57 |
| Miguel A. Vega-Rodríguez | 2 | 741 | 113.05 |
| Juan Manuel Sánchez-Pérez | 3 | 219 | 28.40 |