無線センサネットワークにおける自己組織化位置推定方式の提案  [in Japanese] Self-Organizing Location Estimation Method for Wireless Sensor Networks  [in Japanese]

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Abstract

環境モニタリングシステム等に適用される大規模無線センサネットワークにおいて,センサノードの位置情報を知ることは重要な要件となっている.位置推定方式は様々な方式が研究されているが,高精度な位置推定を行うためには,大量の位置情報が既知のノード(アンカノード)が必要となる.あるいは,ノード間距離を測定するデバイスの搭載が必要となる.これは無線センサネットワークでの利用を想定した場合に,適用可能な環境や,適用可能なセンサノードが限定されることになる.この問題を解決するため,自己組織化マップ(SOM)を用いた適用制約がきわめて低い位置推定方式を提案する.提案方式は,測距デバイスを必要とせず,極少数のアンカノードと単純な処理の繰返しにより正確な位置推定を行うことができる.本論文では,提案方式のアルゴリズムと通信手順を述べ,さらにネットワークシミュレータを用いた評価結果を示す.Recently, large scale wireless sensor networks are aimed to apply to environmental monitoring system. The monitoring system requires the location where data is monitored. The conventional location estimation method, is GPS, however GPS is suitable for wireless sensor network because of its cost and power consumption. Therefore, many location estimation methods without GPS are proposed. However, they need an arranged space using a large number of anchor nodes whose locations are well known, or they need advance information such as information on radio conditions in the space. Furthermore, some localization assume the use of advanced distance measurements, such as TOA and TDOA, to achieve high accuracy in estimating locations, but these advanced distance measurement schemes cannot be used for ordinary sensor node systems. To resolve these problems, we propose Self-Organizing localization for wireless sensor networks. The proposed localization applies Self-Organizing Maps to localization, and needs no distance measurement scheme and needs no advance information on a space, and can estimate node location with accuracy. In this paper, the algorithm and communication process of the proposed localization is described, and its accuracy is shown.

Recently, large scale wireless sensor networks are aimed to apply to environmental monitoring system. The monitoring system requires the location where data is monitored. The conventional location estimation method, is GPS, however GPS is suitable for wireless sensor network because of its cost and power consumption. Therefore, many location estimation methods without GPS are proposed. However, they need an arranged space using a large number of anchor nodes whose locations are well known, or they need advance information such as information on radio conditions in the space. Furthermore, some localization assume the use of advanced distance measurements, such as TOA and TDOA, to achieve high accuracy in estimating locations, but these advanced distance measurement schemes cannot be used for ordinary sensor node systems. To resolve these problems, we propose Self-Organizing localization for wireless sensor networks. The proposed localization applies Self-Organizing Maps to localization, and needs no distance measurement scheme and needs no advance information on a space, and can estimate node location with accuracy. In this paper, the algorithm and communication process of the proposed localization is described, and its accuracy is shown.

Journal

  • 情報処理学会論文誌

    情報処理学会論文誌 53(7), 1774-1782, 2012-07-15

    情報処理学会

Codes

  • NII Article ID (NAID)
    110009423547
  • NII NACSIS-CAT ID (NCID)
    AN00116647
  • Text Lang
    JPN
  • Article Type
    Journal Article
  • ISSN
    1882-7764
  • NDL Article ID
    023830150
  • NDL Call No.
    YH247-743
  • Data Source
    NDL  NII-ELS  IPSJ 
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