NDLI: SMM: mathematical framework of a scalable mobility model

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SMM: mathematical framework of a scalable mobility model

Content Provider	ACM Digital Library
Author	Kaleshi, D. Irvine, J. Dugenie, P. Munro, A. Basgeet, D R.
Abstract	In this paper, we present a novel mathematical framework of a mobility model that can be applied to a large number of possible horizontal environments, ranging from local area networks (LANs) to wide area networks (WANs) for the prediction and tracking of mobile users. This new mobility model, termed 'Scalable Mobility Model' (SMM), provides a realistic set of paths for both individual and aggregate subscriber movement by assigning mobile users into specific classes of mobility based on their mobility characteristics, attraction points, geographical environments and time periods. The core technique used to implement these important mobility features in SMM is the introduction of a new concept referred to as the Pole of Gravity. Our mobility model has been decomposed into three processes termed as the physical, gravity and fluid sub-models. Using this new concept, we show how SMM can effectively characterize user mobility for the City Area Model of Avon district and the City Center of Bristol, UK, having an extension of 40 km by 40 km and 8 km by 8 km respectively. We also present simulation results to illustrate the effect of accurate mobility by comparing our realistic mobility model, SMM, with the well know Random Waypoint model. Specifically, we show how the choice of a mobility model affects channel utilization and handover performance issues for the mobile environment.
Starting Page	74
Ending Page	81
Page Count	8
File Format	PDF
ISBN	1581137664
DOI	10.1145/940991.941005
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2003-09-19
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Mobility models Cellular planning and deployment Mobile networks Radio resource management Mobility management
Content Type	Text
Resource Type	Article

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