ePrints@IIScePrints@IISc Home | About | Browse | Latest Additions | Advanced Search | Contact | Help

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.

[img] PDF
08-056-1.pdf - Published Version
Restricted to Registered users only

Download (91Kb) | Request a copy
Official URL: http://www.ijicic.org/vol-5(6)-2.htm

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
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.ernet.in/id/eprint/23482

Actions (login required)

View Item View Item