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• W2059793430 abstract "Graphical abstractDisplay Omitted Mobile location management is an important task in mobile networks. This paper presents an analysis of the Gaussian cluster paging in the Reporting Cells strategy. Reporting Cells define a location update strategy in which some network cells are configured as Reporting Cells with the aim of tracking the subscribers' movement. On the other hand, the Gaussian cluster paging is a paging scheme where we assume that the probability of finding a callee's terminal decreases as we move away from the last updated location. This paging scheme is studied in a multiobjective way for different probability thresholds, and considering time-delay constraints. With the goal of finding the best possible sets of non-dominated solutions, we propose our implementation of a well-known multiobjective evolutionary algorithm: the Non-dominated Sorting Genetic Algorithm II. By means of an experimental study, we show that each probability threshold has its own non-dominated region in the objective space." @default.
• W2059793430 created "2016-06-24" @default.
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• W2059793430 date "2015-03-01" @default.
• W2059793430 modified "2023-10-18" @default.
• W2059793430 title "A multiobjective study of the Gaussian cluster paging in the Reporting Cells strategy" @default.
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• W2059793430 doi "https://doi.org/10.1016/j.asoc.2014.12.005" @default.
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