A study on the indoor real-time tracking system to reduce the interference problem

Authors:
Hyung Su Lee;Byunghun Song;Hee Yong Youn
Affiliations:
School of Information and Communication Engineering, Sungkyunkwan University, Kyunggido, South Korea;Korea Electronics Technology Institute, Kyunggido, South Korea;School of Information and Communication Engineering, Sungkyunkwan University, Kyunggido, South Korea
Venue:
ICCS'06 Proceedings of the 6th international conference on Computational Science - Volume Part IV
Year:
2006

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Abstract

The real-time tracking system is an essential component in the development of low cost sensor networks to be used in pervasive and ubiquitous computing. In this paper we address the interference problem of the sensor network platform that uses ultrasonic for location tracking. We also present a novel scheme reducing the error rate caused by interference, which is particularly suited for supporting context-aware computing. It is achieved by considering the speed variance of the mobile node and thereby correcting the interference errors. Performance evaluation using an actually implemented platform, Pharos, reveals that the proposed scheme outperforms the three existing schemes. It also identifies that error rate decreases as the number of packets transmitted for distance estimation increases, while it increases as the speed of the mobile node increases.