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- Sakai Yuki
- Graduate School of Information Science and Technology, Osaka University
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- Uchiyama Akira
- Graduate School of Information Science and Technology, Osaka University Japan Science Technology and Agency, CREST
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- Yamaguchi Hirozumi
- Graduate School of Information Science and Technology, Osaka University Japan Science Technology and Agency, CREST
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- Higashino Teruo
- Graduate School of Information Science and Technology, Osaka University Japan Science Technology and Agency, CREST
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Abstract
In this paper, we propose a method to estimate the node distribution for pedestrians with information terminals. The method enables us to provide situation-aware services such as intellectual navigation that tells the user the best route to go around congested regions. In the proposed method, each node is supposed to know its location roughly (i.e., within some error range) and to maintain a density map covering its surroundings. This map is updated when a node receives a density map from a neighboring node. Each node also updates the density map in a timely fashion by estimating the change of the density due to node mobility. Node distribution is obtained from the density map by choosing cells with the highest density in a greedy fashion. The simulation experiments have been conducted and the results have shown that the proposed method could keep average position errors less than 10m.
Journal
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- Journal of Information Processing
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Journal of Information Processing 21 (2), 198-205, 2013
Information Processing Society of Japan
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Details 詳細情報について
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- CRID
- 1390282680272713472
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- NII Article ID
- 110009537056
- 130003369523
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- NII Book ID
- AN00116647
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- ISSN
- 18827764
- 18826652
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- Text Lang
- en
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- Data Source
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- JaLC
- IRDB
- Crossref
- CiNii Articles
- KAKEN
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- Abstract License Flag
- Disallowed