Christian Le, Intel (Rahul Khanna, Intel and Huaping Liu, OSU) Simple and Accurate Indoor Location Research-to-Market through OSU-Intel Collaboration Christian Le, Intel (Rahul Khanna, Intel and Huaping Liu, OSU)

Indoor Location Value in IOT iGPS iGPS Industrial Smart Buildings Data Centers iGPS iGPS iGPS Indoor Location Services will be as significant as GPS

Indoor Location Opportunities & Challenges Enterprise- Tracking Asset, Personnel, Security Eco-system: Indoor maps & with context AP deployment Physics: Light 1ns error = 30cm RF Indoor propagation Methods: ToF, TDOA, RSS, Sensors Fusion, Beaconing Accuracy : ~5-10m Shopping Advertising Venue & Floor Level Assistant Social Gaming Analytics… < 1m accuracy, efficient and pervasive (WIFI) infrastructure are key attributes for adoption

SAiL: Simple Accurate indoor Location Base Receiver cluster #1 Wifi Devices Receiver cluster #2 ~1m UWB Prototype 8 Signal processing Data stream consolidation TDOA calculation Via WiFi to computer RF Digitizer Data Acquisition Unit Positioning Engine Unique Independent Clustered Receiver • One meter accuracy using WiFi Time Difference of Arrival - expected 85% confidence • No “helper” technologies needed • No need to synchronize the distributed receivers • No changes on phone (just develop apps)

Collaboration & Partnership IP TDOA Cluster Architecture UWB R&D Wifi algorithms RF design & system integration UWB to Wifi Product Requirement Market Insights System Test Bed Technology Integration Innovation IOT systems + Sensory Systems IoT Systems Software Systems & Infrastructure Data Intelligence & Visualization Security