A Compact Normal Walk Modeling in PCS Networks with Mesh Cells

Chiu-Ching TUAN; Chen-Chau YANG

doi:10.1093/ietfec/e88-a.3.761

A Compact Normal Walk Modeling in PCS Networks with Mesh Cells

Chiu-Ching TUAN, Chen-Chau YANG

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Model-based movement patterns play a crucial role in evaluating the performance of mobility-dependent Personal Communication Service (PCS) strategies. This study proposes a new normal walk model to represent more closely the daily movement patterns of a mobile station (MS) in PCS networks than a conventional random walk model. A drift angle θ in this model is applied to determine the relative direction in which an MS handoffs in the next one step, based on the concepts that most real trips follow the shortest path and the directions of daily motion are mostly symmetric. Hence, θ is assumed to approach the normal distribution with the parameters: µ is set to 0and σ is in the range of 5to 90. Varying σ thus redistributes the probabilities associated with θ to make the normal mobility patterns more realistic than the random ones. Experimental results verify that the proposed normal walk is correct and valid for modeling an n-layer mesh cluster of PCS networks. Moreover, when σ = 79.5, a normal walk can almost represent, and even replace, a random walk.

Publication: IEICE TRANSACTIONS on Fundamentals Vol.E88-A No.3 pp.761-769

Publication Date: 2005/03/01

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DOI: 10.1093/ietfec/e88-a.3.761

Type of Manuscript: PAPER

Category: Mobile Information Network and Personal Communications

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Chiu-Ching TUAN, Chen-Chau YANG, "A Compact Normal Walk Modeling in PCS Networks with Mesh Cells" in IEICE TRANSACTIONS on Fundamentals, vol. E88-A, no. 3, pp. 761-769, March 2005, doi: 10.1093/ietfec/e88-a.3.761.
Abstract: Model-based movement patterns play a crucial role in evaluating the performance of mobility-dependent Personal Communication Service (PCS) strategies. This study proposes a new normal walk model to represent more closely the daily movement patterns of a mobile station (MS) in PCS networks than a conventional random walk model. A drift angle θ in this model is applied to determine the relative direction in which an MS handoffs in the next one step, based on the concepts that most real trips follow the shortest path and the directions of daily motion are mostly symmetric. Hence, θ is assumed to approach the normal distribution with the parameters: µ is set to 0and σ is in the range of 5to 90. Varying σ thus redistributes the probabilities associated with θ to make the normal mobility patterns more realistic than the random ones. Experimental results verify that the proposed normal walk is correct and valid for modeling an n-layer mesh cluster of PCS networks. Moreover, when σ = 79.5, a normal walk can almost represent, and even replace, a random walk.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1093/ietfec/e88-a.3.761/_p

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@ARTICLE{e88-a_3_761,
author={Chiu-Ching TUAN, Chen-Chau YANG, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={A Compact Normal Walk Modeling in PCS Networks with Mesh Cells},
year={2005},
volume={E88-A},
number={3},
pages={761-769},
abstract={Model-based movement patterns play a crucial role in evaluating the performance of mobility-dependent Personal Communication Service (PCS) strategies. This study proposes a new normal walk model to represent more closely the daily movement patterns of a mobile station (MS) in PCS networks than a conventional random walk model. A drift angle θ in this model is applied to determine the relative direction in which an MS handoffs in the next one step, based on the concepts that most real trips follow the shortest path and the directions of daily motion are mostly symmetric. Hence, θ is assumed to approach the normal distribution with the parameters: µ is set to 0and σ is in the range of 5to 90. Varying σ thus redistributes the probabilities associated with θ to make the normal mobility patterns more realistic than the random ones. Experimental results verify that the proposed normal walk is correct and valid for modeling an n-layer mesh cluster of PCS networks. Moreover, when σ = 79.5, a normal walk can almost represent, and even replace, a random walk.},
keywords={},
doi={10.1093/ietfec/e88-a.3.761},
ISSN={},
month={March},}

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TY - JOUR
TI - A Compact Normal Walk Modeling in PCS Networks with Mesh Cells
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 761
EP - 769
AU - Chiu-Ching TUAN
AU - Chen-Chau YANG
PY - 2005
DO - 10.1093/ietfec/e88-a.3.761
JO - IEICE TRANSACTIONS on Fundamentals
SN -
VL - E88-A
IS - 3
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - March 2005
AB - Model-based movement patterns play a crucial role in evaluating the performance of mobility-dependent Personal Communication Service (PCS) strategies. This study proposes a new normal walk model to represent more closely the daily movement patterns of a mobile station (MS) in PCS networks than a conventional random walk model. A drift angle θ in this model is applied to determine the relative direction in which an MS handoffs in the next one step, based on the concepts that most real trips follow the shortest path and the directions of daily motion are mostly symmetric. Hence, θ is assumed to approach the normal distribution with the parameters: µ is set to 0and σ is in the range of 5to 90. Varying σ thus redistributes the probabilities associated with θ to make the normal mobility patterns more realistic than the random ones. Experimental results verify that the proposed normal walk is correct and valid for modeling an n-layer mesh cluster of PCS networks. Moreover, when σ = 79.5, a normal walk can almost represent, and even replace, a random walk.
ER -