Ant colony optimization for reporting cell planning in mobile computing using selective paging strategy

Kim, Sung Soo and Kim, Il-Hwan and Mani, V and Kim, Hyung Jun (2009) Ant colony optimization for reporting cell planning in mobile computing using selective paging strategy. In: International journal of innovative computing information and control, 5 (6). pp. 1587-1598.

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Abstract

Location management problem that arise in mobile computing networks is addressed. One method used in location management is to designate sonic of the cells in the network as "reporting cells". The other cells in the network are "non-reporting cells". Finding an optimal set of reporting cells (or reporting cell configuration) for a given network. is a difficult combinatorial optimization problem. In fact this is shown to be an NP-complete problem. in an earlier study. In this paper, we use the selective paging strategy and use an ant colony optimization method to obtain the best/optimal set of reporting cells for a given a network.

Item Type:	Journal Article
Publication:	International journal of innovative computing information and control
Publisher:	ICIC Int.
Additional Information:	Copyright of this article belongs to ICIC Int.
Keywords:	Mobile computing;Location management;Reporting cells;Vicinity value;Ant colony optimization.
Department/Centre:	Division of Mechanical Sciences > Aerospace Engineering(Formerly Aeronautical Engineering)
Date Deposited:	30 Sep 2009 08:55
Last Modified:	19 Sep 2010 05:46
URI:	http://eprints.iisc.ac.in/id/eprint/23482

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