Indoor matching location algorithm based on WIFI signal strength

Zhang, Chong; Yu, Hongyang

doi:10.1109/icccas.2013.6765298

Cited by 5 publications

(1 citation statement)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Chong [24] proposed a technique based on probabilityweighted algorithm that computes the probability of the prepositioning point to complete the positioning simultaneously. The algorithm improves the response time and precision of the positioning.…”

Section: A Related Workmentioning

confidence: 99%

Position estimation of robotic mobile nodes in wireless testbed using GENI

Abdelhadi

Rechia

Narayanan

et al. 2016

2016 Annual IEEE Systems Conference (SysCon)

View full text Add to dashboard Cite

We present a low complexity experimental RFbased indoor localization system based on the collection and processing of WiFi RSSI signals and processing using a RSSbased multi-lateration algorithm to determine a robotic mobile node's location. We use a real indoor wireless testbed called wiLab.t that is deployed in Zwijnaarde, Ghent, Belgium. One of the unique attributes of this testbed is that it provides tools and interfaces using Global Environment for Network Innovations (GENI) project to easily create reproducible wireless network experiments in a controlled environment. We provide a low complexity algorithm to estimate the location of the mobile robots in the indoor environment. In addition, we provide a comparison between some of our collected measurements with their corresponding location estimation and the actual robot location. The comparison shows an accuracy between 0.65 and 5 meters.

show abstract

Section: A Related Workmentioning

confidence: 99%