Institutional Repository
Technical University of Crete
Technical University of Crete
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| URI: | http://purl.tuc.gr/dl/dias/B50685A8-0CF8-4906-87B6-EDC090616E65 | ||
| Year | 2017 | ||
| Type of Item | Diploma Work | ||
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| Bibliographic Citation | Marios Vestakis, "Localization in environmental scatter radio networks", Diploma Work, School of Electrical and Computer Engineering, Technical University of Crete, Chania, Greece, 2017 https://doi.org/10.26233/heallink.tuc.68545 | ||
| Appears in Collections |
Scatter radio networks have been recently proposed for environmental sens-ing applications, e.g., water savings in agriculture. Additionally, they arecentral in inventory management with radio frequency identification (RFID)tags, as well as other Internet of Things (IoT) applications. Recent signalprocessing developments in bistatic scatter radio networks have dramaticallyextended their coverage; thus, knowing the location of each tag becomesvaluable information. Each scatter radio tag reflects the illuminating signal,transmitted from multiple low-cost emitters. The received signal strength(RSS) measurements at a single low-cost reader are usedas input in cus-tom particle filtering (PF) algorithms, in order to localize each scatter radiotag. Free-space, two-ray and an empirical wireless propagation large-scalepath loss models are considered, alongside a small-scale fading model anddifferent particle resampling techniques. Extensive simulations for a 100m x100m grid offered root mean squared error (RMSE) as low as 1.6m. Outdoorexperimental results in a 27m x 32m grid offered 0.9m RMSE.
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