Evaluation of RSS-based Position Tracking using WSNs for Resource Localization in an Indoor Construction Environment

Meimanat Soleimanifar, Ming Lu, Ioanis Nikolaidis, Xuesong Shen

2013

Abstract

Timely information of construction resource is always a concern and an essential task for construction engineers and managers. In the recent past, Wireless Sensor Networks (WSNs) have emerged as a promising means to improve the current construction localization applications due to the ease of deployment and expandability to large scale construction projects, low cost, and capacity to function efficiently under dynamic and rough environments. Received Signal Strength Indicator (RSSI) based localization is a popular technique especially for indoor environments, where satellite based positioning is infeasible. This study evaluates multilateration localization, a popular localization technique, in construction environments as well as a second, profiling-based, localization technique. Both techniques RSSI values collected in a WSN. Indoor experiments were conducted and their results reveal that acceptable position accuracy can be obtained with the profiling-based architecture.

References

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Paper Citation


in Harvard Style

Soleimanifar M., Lu M., Nikolaidis I. and Shen X. (2013). Evaluation of RSS-based Position Tracking using WSNs for Resource Localization in an Indoor Construction Environment . In Proceedings of the 2nd International Conference on Sensor Networks - Volume 1: SENSORNETS, ISBN 978-989-8565-45-7, pages 189-192. DOI: 10.5220/0004274301890192


in Bibtex Style

@conference{sensornets13,
author={Meimanat Soleimanifar and Ming Lu and Ioanis Nikolaidis and Xuesong Shen},
title={Evaluation of RSS-based Position Tracking using WSNs for Resource Localization in an Indoor Construction Environment},
booktitle={Proceedings of the 2nd International Conference on Sensor Networks - Volume 1: SENSORNETS,},
year={2013},
pages={189-192},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004274301890192},
isbn={978-989-8565-45-7},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 2nd International Conference on Sensor Networks - Volume 1: SENSORNETS,
TI - Evaluation of RSS-based Position Tracking using WSNs for Resource Localization in an Indoor Construction Environment
SN - 978-989-8565-45-7
AU - Soleimanifar M.
AU - Lu M.
AU - Nikolaidis I.
AU - Shen X.
PY - 2013
SP - 189
EP - 192
DO - 10.5220/0004274301890192