IEICE TRANSACTIONS on Information
Designing Mobility Models Based on Relational Graph
Summary :
Simulating the mobility of mobile devices has always been an important issue as far as wireless networks are concerned because mobility needs to be taken into account in various situations in wireless networks. Researchers have been trying, for many years, to improve the accuracy and flexibility of mobility models. Although recent progress of designing mobility models based on social graph have enhanced the performance of mobility models and made them more convenient to use, we believe the accuracy and flexibility of mobility models could be further improved by taking a more integrated structure as the input. In this paper, we propose a new way of designing mobility models on the basis of relational graph [1] which is a graph depicting the relation among objects, e.g. relation between people and people, and also people and places. Moreover, some novel mobility features were introduced in the proposed model to provide social, spatial and temporal properties in order to produce results similar to real mobility data. It was demonstrated by simulation that these measures could generate results similar to real mobility data.
- Publication
- IEICE TRANSACTIONS on Information Vol.E97-D No.12 pp.3007-3015
- Publication Date
- 2014/12/01
- Publicized
- Online ISSN
- 1745-1361
- DOI
- 10.1587/transinf.2014PAP0004
- Type of Manuscript
- Special Section PAPER (Special Section on Parallel and Distributed Computing and Networking)
- Category
- Wireless Network
Authors
Zhenwei DING
Kyoto University
Yusuke OMORI
Kyoto University
Ryoichi SHINKUMA
Kyoto University
Tatsuro TAKAHASHI
Kyoto University
Keyword
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Zhenwei DING, Yusuke OMORI, Ryoichi SHINKUMA, Tatsuro TAKAHASHI, "Designing Mobility Models Based on Relational Graph" in IEICE TRANSACTIONS on Information,
vol. E97-D, no. 12, pp. 3007-3015, December 2014, doi: 10.1587/transinf.2014PAP0004.
Abstract: Simulating the mobility of mobile devices has always been an important issue as far as wireless networks are concerned because mobility needs to be taken into account in various situations in wireless networks. Researchers have been trying, for many years, to improve the accuracy and flexibility of mobility models. Although recent progress of designing mobility models based on social graph have enhanced the performance of mobility models and made them more convenient to use, we believe the accuracy and flexibility of mobility models could be further improved by taking a more integrated structure as the input. In this paper, we propose a new way of designing mobility models on the basis of relational graph [1] which is a graph depicting the relation among objects, e.g. relation between people and people, and also people and places. Moreover, some novel mobility features were introduced in the proposed model to provide social, spatial and temporal properties in order to produce results similar to real mobility data. It was demonstrated by simulation that these measures could generate results similar to real mobility data.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.2014PAP0004/_p
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@ARTICLE{e97-d_12_3007,
author={Zhenwei DING, Yusuke OMORI, Ryoichi SHINKUMA, Tatsuro TAKAHASHI, },
journal={IEICE TRANSACTIONS on Information},
title={Designing Mobility Models Based on Relational Graph},
year={2014},
volume={E97-D},
number={12},
pages={3007-3015},
abstract={Simulating the mobility of mobile devices has always been an important issue as far as wireless networks are concerned because mobility needs to be taken into account in various situations in wireless networks. Researchers have been trying, for many years, to improve the accuracy and flexibility of mobility models. Although recent progress of designing mobility models based on social graph have enhanced the performance of mobility models and made them more convenient to use, we believe the accuracy and flexibility of mobility models could be further improved by taking a more integrated structure as the input. In this paper, we propose a new way of designing mobility models on the basis of relational graph [1] which is a graph depicting the relation among objects, e.g. relation between people and people, and also people and places. Moreover, some novel mobility features were introduced in the proposed model to provide social, spatial and temporal properties in order to produce results similar to real mobility data. It was demonstrated by simulation that these measures could generate results similar to real mobility data.},
keywords={},
doi={10.1587/transinf.2014PAP0004},
ISSN={1745-1361},
month={December},}
Copy
TY - JOUR
TI - Designing Mobility Models Based on Relational Graph
T2 - IEICE TRANSACTIONS on Information
SP - 3007
EP - 3015
AU - Zhenwei DING
AU - Yusuke OMORI
AU - Ryoichi SHINKUMA
AU - Tatsuro TAKAHASHI
PY - 2014
DO - 10.1587/transinf.2014PAP0004
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E97-D
IS - 12
JA - IEICE TRANSACTIONS on Information
Y1 - December 2014
AB - Simulating the mobility of mobile devices has always been an important issue as far as wireless networks are concerned because mobility needs to be taken into account in various situations in wireless networks. Researchers have been trying, for many years, to improve the accuracy and flexibility of mobility models. Although recent progress of designing mobility models based on social graph have enhanced the performance of mobility models and made them more convenient to use, we believe the accuracy and flexibility of mobility models could be further improved by taking a more integrated structure as the input. In this paper, we propose a new way of designing mobility models on the basis of relational graph [1] which is a graph depicting the relation among objects, e.g. relation between people and people, and also people and places. Moreover, some novel mobility features were introduced in the proposed model to provide social, spatial and temporal properties in order to produce results similar to real mobility data. It was demonstrated by simulation that these measures could generate results similar to real mobility data.
ER -
English
