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Particle Swarm Optimization For Location Mobility Management
South Korea.
South Korea.
South Korea.
The University of Sydney, Australia.ORCID iD: 0000-0001-9194-010X
2012 (English)In: International Journal of Innovative Computing Information and Control, ISSN 1349-4198, E-ISSN 1349-418X, Vol. 8, no 12, 8387-8398 p.Article in journal (Refereed) Published
Abstract [en]

In the generic mobile location problem for locating mobile terminals in a network, assignment of cells to either "reporting" or "non-reporting" cells is an NP-complete problem with known exponential complexity, also known as the reporting cell planning (RCP). The number of reporting cells as well as their locations must be carefully determined to balance the registration (location update) and search (paging) operations to minimize the cost of RCP. In this paper, we propose binary particle swarm optimization (BPSO) for optimal design of RCP. Our extensive set of experimental simulations demonstrates the effectiveness of BPSO; BPSO also proved to be a competitive approach in terms of quality of solution for the optimal design of several benchmark problems. Results also provide invaluable insights into the nature of this classical formidable problem and its effective solutions.

Place, publisher, year, edition, pages
ICIC INTERNATIONAL , 2012. Vol. 8, no 12, 8387-8398 p.
Keyword [en]
Mobile computing; Location management; Reporting cell planning (RCP); Binary particle swarm optimization (BPSO)
National Category
Computer Science
Research subject
Computer Science
Identifiers
URN: urn:nbn:se:kau:diva-46055ISI: 000312435200025OAI: oai:DiVA.org:kau-46055DiVA: diva2:970856
Note

B, IF (2010) : 1.667

Available from: 2016-09-14 Created: 2016-09-14 Last updated: 2016-09-16Bibliographically approved

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Taheri, Javid
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