DocumentCode :
627768
Title :
Proximity distance estimation based on capacitive coupling between 1mm3 sensor nodes
Author :
Shinada, Takuro ; Hashimoto, Mime ; Onoye, Takao
Author_Institution :
Dept. Inf. Syst. Eng., Japan Univ., Osaka, Japan
fYear :
2013
fDate :
16-19 June 2013
Firstpage :
1
Lastpage :
4
Abstract :
We are working toward actualizing a real-time 3D modeling system. It uses a sensor network that distributes many 1 mm3-class sensor nodes in plastic clay. The distributed sensors sense distances between them, and the sensor network collects the distance information for recognizing object shape by calculating relative positions of nodes based on the collected node-to-node distances. This paper proposes a distance estimation method based on capacitive coupling between sensor nodes for the 3D modeling system. An electrical signal is transmitted through a closed loop composed of node-to-node capacitive coupling, and the signal attenuation is used for the distance estimation. We investigate gain and directivity of the signal transmission with electric field and circuit simulation to explore appropriate electrode designs for the proposed method and evaluate the feasibility of the node localization with the proposed distance estimation method.
Keywords :
distributed sensors; object recognition; solid modelling; capacitive coupling; circuit simulation; closed loop; distance information; electric field; electrical signal; electrode designs; node localization; node relative position; node-to-node capacitive coupling; node-to-node distances; object shape recognition; plastic clay; proximity distance estimation; real-time 3D modeling system; sensor network; sensor nodes; signal attenuation; signal transmission directivity; signal transmission gain; Computational modeling; Couplings; Electrodes; Estimation error; Integrated circuit modeling; Shape;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
New Circuits and Systems Conference (NEWCAS), 2013 IEEE 11th International
Conference_Location :
Paris
Print_ISBN :
978-1-4799-0618-5
Type :
conf
DOI :
10.1109/NEWCAS.2013.6573601
Filename :
6573601
Link To Document :
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