Proximity Report Triggering Threshold Optimization for Network-Based Indoor Positioning
2015 (English)Conference paper (Refereed)
Driven by the promising beaconing techniques, this paper presents a general received-signal-strength (RSS) threshold optimization procedure for proximity reports to support networkbased indoor positioning. The desired RSS threshold is found through optimizing a metric function (for instance the localization root-mean-square-error) in terms of both the deployment information and the RSS modeling in consideration of an evaluation area. The resulting RSS threshold provides a trade-off between triggering many but less informative proximity reports with a low threshold, and triggering few but very informative proximity reports with a high threshold, and thus enables enhanced performance for some low-cost and low-complex proximity based positioning algorithms. The proposed framework is also validated with real RSS measurements collected in an office area with deployed bluetooth low-energy (BLE) beacons.
Place, publisher, year, edition, pages
2015. 1061-1069 p.
IdentifiersURN: urn:nbn:se:liu:diva-129759OAI: oai:DiVA.org:liu-129759DiVA: diva2:943177
18th International Conference on Information Fusion