Evaluation of MultiZigLoc: Indoor ZigBee Localization System Using Inter-Channel Characteristics

Ryota Kimoto, Takahiro Yamamoto, Shigemi Ishida, Shigeaki Tagashira, Akira Fukuda

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)

Abstract

Sensor localization is one of the big problems when building large scale indoor sensor networks. We are developing ZigLoc, a sensor localization system using Wi-Fi (IEEE802.11) APs (access points) as references [1], [2]. ZigLoc measures RSS (received signal strength) of Wi-Fi AP signals to localize ZigBee (IEEE802.15.4) sensor nodes. However, ZigLoc exhibits low accuracy because of inaccurate RSS measured on a single narrow-band ZigBee channel. In this paper, we present a highly accurate sensor localization system MultiZigLoc, which is an extended system of ZigLoc. Our key idea is to employ RSS measured in multiple ZigBee channels in fingerprinting localization. The RSS in multiple channels is dependent on the measured location because ZigBee uses narrow-band channels. Narrow-band ZigBee communication is highly affected by frequency selective fading, whose influence is dependent on channels and locations of both Wi-Fi APs and a sensor. We utilize fingerprints that separately handles RSS in multiple ZigBee channels to employ channel specific features. We conducted initial evaluations using RSS measured in a practical environment. The evaluations reveal that MultiZigLoc improved the localization accuracy by more than 10 points.

Original languageEnglish
Title of host publication2018 11th International Conference on Mobile Computing and Ubiquitous Network, ICMU 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9784907626341
DOIs
Publication statusPublished - Jul 2 2018
Event11th International Conference on Mobile Computing and Ubiquitous Network, ICMU 2018 - Auckland, New Zealand
Duration: Oct 5 2018Oct 8 2018

Publication series

Name2018 11th International Conference on Mobile Computing and Ubiquitous Network, ICMU 2018

Conference

Conference11th International Conference on Mobile Computing and Ubiquitous Network, ICMU 2018
Country/TerritoryNew Zealand
CityAuckland
Period10/5/1810/8/18

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications

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