A Traffic Reduction Method for Centralized RSSI-Based Location Estimation in Wireless Sensor Networks
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- ZEMEK Radim
- Graduate School of Engineering, Osaka University The Institute of Electronics, Information and Communication Engineers
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- HARA Shinsuke
- Graduate School of Engineering, Osaka City University The Institute of Electronics, Information and Communication Engineers
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- YANAGIHARA Kentaro
- Corporate R & D Center, Oki Electric Industry Co., Ltd. The Institute of Electronics, Information and Communication Engineers
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- KITAYAMA Ken-ichi
- Graduate School of Engineering, Osaka University The Institute of Electronics, Information and Communication Engineers
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抄録
In a centralized localization scenario, the limited throughput of the central node constrains the possible number of target node locations that can be estimated simultaneously. To overcome this limitation, we propose a method which effectively decreases the traffic load associated with target node localization, and therefore increases the possible number of target node locations that can estimated simultaneously in a localization system based on received signal strength indicator (RSSI) and maximum likelihood estimation. Our proposed method utilizes a threshold which limits the amount of forwarded RSSI data to the central node. As the threshold is crucial to the method, we further propose a method to theoretically determine its value. We experimentally verified the proposed method in various environments and the experimental results revealed that the method can reduce the load by 32-64% without significantly affecting the estimation accuracy.
収録刊行物
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- IEICE Transactions on Communications
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IEICE Transactions on Communications E91-B (6), 1842-1851, 2008
一般社団法人 電子情報通信学会
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詳細情報 詳細情報について
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- CRID
- 1390001204375745024
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- NII論文ID
- 10026830033
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- NII書誌ID
- AA10826261
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- ISSN
- 17451345
- 09168516
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- 本文言語コード
- en
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- データソース種別
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- JaLC
- Crossref
- CiNii Articles
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- 抄録ライセンスフラグ
- 使用不可