[IEICE-CS202303] 置くだけIoTの実現に向けたIoT機器グループ化における実環境向けCSIサンプリング手法の提案 / Proposal of CSI Samping for Practical Environment on Device Grouping toward Put-and-Play IoT Systems
[IEICE-CS202303] 置くだけIoTの実現に向けたIoT機器グループ化における実環境向けCSIサンプリング手法の提案 / Proposal of CSI Samping for Practical Environment on Device Grouping toward Put-and-Play IoT Systems
n CSI p PinLoc[sen 12], PhaseFi[wang 16], DeepFi[wang 17] ➔ n p FUSIC[jiokeng 20], SpotFi[kotaru 15] ➔ ※ Ishida Lab, Future University Hakodate Mar 2, 2023 9 [sen 12] You are facing the Mona Lisa: Spot localization using PHY layer information, ACM MobiSys [wang 16] CSI phase fingerprinnting for indoor localization with a deep learning approach, IEEE Internet Things J. 3(6) [wang 17] CSI-based fingerprinting for indoor localization: A deep learrning approach, IEEE Trans. Veh. Technol. 66(1) [jiokeng 20] When FTM discovered MUSIC: Accurate WiFi-based ranging in the presence of multipath, IEEE INFOCOM [kotaru 15] SpotFi: decimeter level localization using WiFi, ACM SIGCOMM CC Review
n CSI IoT [ishida 22] p CSI IoT p ( ) p ARI=1.00 ➔ [joya 21] Ishida Lab, Future University Hakodate Mar 2, 2023 10 [ishida 22] Room-by-room device grouping for put-and-play IoT system, IEEE GLOBECOM [joya 21] Design of room-layout estimator using smart speaker, EAI MobiQuitous v v A B C D F E G G F E D C B A
n p CSI ➔ CSI p CSI IoT Ishida Lab, Future University Hakodate Mar 2, 2023 11 Human location ARI 0.42 Dining room 0.27 Living room 1.00 Bedroom 0.29 Anywhere 0.95 Anywhere or no where 0.95
IoT n ICA 𝑁'&() ARI p ICA( ) 𝑁3/45 = 1 ARI=0.943 l 𝑁'$() = 2 ARI=0.991 l 𝑁'$() ≥ 4 ARI=1.00 p PCA p Random Ishida Lab, Future University Hakodate Mar 2, 2023 26 0 2 4 6 8 10 Nsamp 0.7 0.8 0.9 1.0 Mean ARI ICA PCA Random 44.4%