Experimental Study: A LQI-Based Ranging Technique in ZigBee Sensor Networks

dc.contributor.authorYang, Ting
dc.contributor.authorYang, Qing
dc.contributor.authorCheng, Lihua
dc.date.accessioned2015-08-18T20:55:14Z
dc.date.available2015-08-18T20:55:14Z
dc.date.issued2015
dc.description.abstractRanging technology which estimates the distance between two communicating wireless nodes has been widely used as a necessary component in localization solutions for wireless sensor networks (WSN). LQI (Link Quality Indicator) is a metric introduced in IEEE 802.15.4 that measures the error in the incoming modulation of successfully received packets that pass the CRC (Cyclic Redundancy Check). Because of low system cost and less computational complexity, LQI-based ranging techniques are increasingly applied in Zigbee sensor networks. However, due to the environmental affects and electronic noise generated by hardware, raw LQI data could not be directly aligned with distances. To eliminate errors in LQI data and obtain higher ranging accuracy, we design and evaluate a novel LQI-based ranging technique which includes three essential data processing components: pre-correction, error compensation and mixed regression analysis. First, anchor nodes with known locations are used in pre-correction process to correct LQI measurements against the empirical regression function obtained from historical data. Then, error compensation is applied to eliminate the intrinsic error in LQI data. Finally, ranging results are refined by the mixed regression analysis. The proposed ranging technique is implemented and evaluated on a Zigbee sensor prototype Tarax. Experiment results show that the average ranging error is less than 1m, confirming that the proposed technique is able to achieve higher ranging accuracy and suitable for localization applications in WSN.en_US
dc.identifier.citationT. Yang, Q. Yang, and L. Cheng. "Experimental Study: A LQI-Based Ranging Technique in ZigBee Sensor Networks", International Journal of Sensor Networks, In press.en_US
dc.identifier.urihttps://scholarworks.montana.edu/handle/1/9192
dc.language.isoen_USen_US
dc.publisherInderscience Publishers, Geneva, SWITZERLANDen_US
dc.subjectLink quality indicator (LQI); ranging techniques; Zigbee; wireless sensor networks; distance estimation.en_US
dc.titleExperimental Study: A LQI-Based Ranging Technique in ZigBee Sensor Networksen_US
dc.typeArticleen_US
mus.citation.journaltitleInternational Journal of Sensor Networksen_US
mus.contributor.orcidYang, Qing|0000-0002-0683-5848en_US
mus.identifier.categoryEngineering & Computer Scienceen_US
mus.relation.collegeCollege of Engineeringen_US
mus.relation.departmentComputer Science.en_US
mus.relation.universityMontana State Universityen_US

Files

Original bundle

Now showing 1 - 1 of 1
Thumbnail Image
Name:
LQI.pdf
Size:
152.94 KB
Format:
Adobe Portable Document Format
Description:
Experimental Study: A LQI-Based Ranging Technique in ZigBee Sensor Networks (PDF)

License bundle

Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description:
Copyright (c) 2002-2022, LYRASIS. All rights reserved.