Sezaki & Nishiyama Laboratory
Institute of Industrial Science / Center for Spatial Information Science in The University of Tokyo
Institute of Industrial Science / Center for Spatial Information Science in The University of Tokyo
Yuichi Nakamura, Masaki Ito, Kaoru Sezaki
Mobility Control of Mobile Sensing for Time-Varying Parameter Inproceedings
In: Proceedings of the 20th International Workshop on Mobile Computing Systems and Applications, pp. 159, Association for Computing Machinery, Santa Cruz, CA, USA, 2019, ISBN: 9781450362733.
BibTeX | タグ: active sensing, kriging, Mobile sensing, sensor networks | Links:
@inproceedings{10.1145/3301293.3309553,
title = {Mobility Control of Mobile Sensing for Time-Varying Parameter},
author = {Yuichi Nakamura and Masaki Ito and Kaoru Sezaki},
url = {https://doi.org/10.1145/3301293.3309553},
doi = {10.1145/3301293.3309553},
isbn = {9781450362733},
year = {2019},
date = {2019-01-01},
booktitle = {Proceedings of the 20th International Workshop on Mobile Computing Systems and Applications},
pages = {159},
publisher = {Association for Computing Machinery},
address = {Santa Cruz, CA, USA},
series = {HotMobile ’19},
keywords = {active sensing, kriging, Mobile sensing, sensor networks},
pubstate = {published},
tppubtype = {inproceedings}
}
Yuichi Nakamura, Masaki Ito, Kaoru Sezaki
Planning Placement of Distributed Sensor Nodes to Achieve Efficient Measurement Book Chapter Open Access
In: Streitz, Norbert; Konomi, Shin'ichi (Ed.): International Conference on Distributed, Ambient, and Pervasive Interactions, 10921 , pp. 103–113, Springer International Publishing, 2018, ISBN: 978-3-319-91125-0.
Abstract | BibTeX | タグ: active sensing, kriging, Mobile sensing | Links:
@inbook{nakamura2018planning,
title = {Planning Placement of Distributed Sensor Nodes to Achieve Efficient Measurement},
author = {Yuichi Nakamura and Masaki Ito and Kaoru Sezaki},
editor = {Norbert Streitz and Shin'ichi Konomi},
doi = {10.1007/978-3-319-91125-0_8},
isbn = {978-3-319-91125-0},
year = {2018},
date = {2018-05-30},
booktitle = {International Conference on Distributed, Ambient, and Pervasive Interactions},
volume = {10921},
pages = {103--113},
publisher = {Springer International Publishing},
organization = {Springer},
abstract = {This paper proposes a method to plan a placement of multiple sensors distributed in a certain area to enable an efficient measurement in terms of the confidence of the interpolation of measured data using kriging. We considered a system where we have some sensors that can move and are distributed in a certain area and a static scaler filed of interest such as a map of temperature in a certain city. We propose a method to plan the placement for the next time step using the value measured until that time by calculating the gradient of kriging variance. For the sake of evaluation of this method, we conducted a simulation of two-step measurement where a scaler filed is created and some sensor nodes are virtually placed. Here, the interpolation with the data from sensor node placement with the proposed method showed better accuracy than that from randomly placed sensors.},
keywords = {active sensing, kriging, Mobile sensing},
pubstate = {published},
tppubtype = {inbook}
}
中村裕一, 伊藤昌毅, 瀬崎薫
センシングシステムにおける内挿の信頼度を用いたセンサーノードの配置決定 Inproceedings Open Access
In: 研究報告マルチメディア通信と分散処理 (DPS), pp. 1–6, 2018.
Abstract | BibTeX | タグ: kriging, アクティブセンシング, センシングシステム | Links:
@inproceedings{中村裕一2018センシングシステムにおける内挿の信頼度を用いたセンサーノードの配置決定,
title = {センシングシステムにおける内挿の信頼度を用いたセンサーノードの配置決定},
author = {中村裕一 and 伊藤昌毅 and 瀬崎薫},
url = {http://id.nii.ac.jp/1001/00189375/},
year = {2018},
date = {2018-05-17},
booktitle = {研究報告マルチメディア通信と分散処理 (DPS)},
volume = {2018},
number = {26},
pages = {1--6},
abstract = {近年スマートフォンの普及に見られるように半導体技術が進歩しており,参加型センシングをはじめとするセンシングシステムの活用に注目が集まっている.しかし,各ノードが動くような系において最適な測定を可能にするようなセンターの配置決定について,確立した方法は少ない.そこで本研究では,センサーノードでの測定データを空間的に内挿しながら,各点における内挿の信頼度を計算しそれをもとに次回の測定でのセンサーの配置を決定する方法を提案する.本稿では,実際にスカラー場を作りその上でのセンサーノードたちの挙動をシミュレーションし,提案手法でのノードの配置決定が有用かを検討する.
As the semiconductor technology advances, which can be seen in the recent spread of smartphones, sensing system including participatory sensing has attracted great attention these days. However, there is few established ways of such a determination of positioning of sensor nodes that enables the optimal measurement with regard to the confidence of interpolation. This study proposes a method to determine the optimal positioning of sensor nodes after one set of measurement at each point, by using the result of interpolation of that set of measurement. In this paper, we will show whether that method is valid by simulating a scaler field and sensor nodes on it.},
keywords = {kriging, アクティブセンシング, センシングシステム},
pubstate = {published},
tppubtype = {inproceedings}
}