@inproceedings{69,
  author = {Shweta Khare and Janos Sallai and Abhishek Dubey and Aniruddha Gokhale},
  title = { Towards Low-Cost Indoor Localization using Edge Computing Resources},
  abstract = {Emerging smart services, such as indoor smart parking or patient monitoring and tracking in hospitals, incur a significant technical roadblock stemming primarily from a lack of cost-effective and easily deployable localization framework that impedes their widespread deployment.To address this concern, in this paper we present a low-cost, indoor localization and navigation system, which performs continuous and real-time processing of Bluetooth low Energy (BLE) and IEEE 802.15.4a compliant Ultra-wideband(UWB) sensor data to localize and navigate the concerned entity  to its desired location. To keep deployment costs down, the indoor space in our solution is instrumented with (battery) as well as wired Edison devices, which provide both compute and BLE capabilities. Entities with managerial responsibilities in these scenarios  can be equipped with both localization modalities: UWB tags and a BLE capable device (current generation smartphone or tablet), and are set up to maintain the BLE Received Signal Strength Intensity (RSSI) fingerprint map using the UWB positioning data as ground truth. The remaining entities rely exclusively on BLE RSSI fingerprinting-based localization using  their smartphones.},
  year = {2017},
  journal = {20th IEEE International Symposium on Real-Time Computing (ISORC)},
  month = {05/2017},
  publisher = {IEEE},
}