IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Location Area Design Algorithms for Minimizing Signalling Costs in Mobile Networks

Location Area Design Algorithms for Minimizing Signalling Costs in Mobile Networks
View Sample PDF
Author(s): Vilmos Simon (Budapest University of Technology and Economics, Hungary)and Sándor Imre (Budapest University of Technology and Economics, Hungary)
Copyright: 2009
Pages: 14
Source title: Mobile Computing: Concepts, Methodologies, Tools, and Applications
Source Author(s)/Editor(s): David Taniar (Monash University, Australia)
DOI: 10.4018/978-1-60566-054-7.ch057

Purchase

View Location Area Design Algorithms for Minimizing Signalling Costs in Mobile Networks on the publisher's website for pricing and purchasing information.

Abstract

In the next generation, IP-based mobile networks, one of the most important QoS parameters, are the delay and the delay variation. The cell handover causes incremental signalling traffic, which can be critical from the point of view of delay variation. It worsens the quality parameters of the real-time services, which are the backbone of next generation mobile commercial services. We have designed and implemented two algorithms: a location area forming algorithm (LAFA) and a cell regrouping algorithm (CEREAL), which can help us to guarantee QoS parameters in the next generation mobile networks. We used our realistic mobile environment simulator to generate input statistics on cell changes and incoming calls for our algorithms and by comparing the values of the cost functions proposed by us, we recognized that significant reduction was achieved in the amount of the signalling traffic; the location update cost was decreased by 40-60% in average.

Related Content

Tapan Kumar Behera. © 2023. 20 pages.
B. Narendra Kumar Rao. © 2023. 17 pages.
Blendi Rrustemi, Deti Baholli, Herolind Balaj. © 2023. 18 pages.
Alma Beluli. © 2023. 11 pages.
Jona Ndrecaj, Shkurte Berisha, Erita Çunaku. © 2023. 15 pages.
Yllka Totaj. © 2023. 12 pages.
Hla Myo Tun, Devasis Pradhan. © 2023. 31 pages.
Body Bottom