activity
20172021
most citedMilliSonic: Pushing the Limits of Acoustic Motion Tracking

98 citations · 261 across the 5 of their papers we have counts for

collaborators

6 papers

cs.SD2021

Hybrid Neural Networks for On-device Directional Hearing

Anran Wang, Maruchi Kim, Hao Zhang +1

On-device directional hearing requires audio source separation from a given direction while achieving stringent human-imperceptible latency requirements. While neural nets can achi…

cs.NI2019★ 10 cited

DeepSense: Enabling Carrier Sense in Low-Power Wide Area Networks Using Deep Learning

Justin Chan, Anran Wang, Arvind Krishnamurthy +1

The last few years have seen the proliferation of low-power wide area networks like LoRa, Sigfox and 802.11ah, each of which use a different and sometimes proprietary coding and mo…

cs.HC2019★ 98 cited

MilliSonic: Pushing the Limits of Acoustic Motion Tracking

Anran Wang, Shyamnath Gollakota

Recent years have seen interest in device tracking and localization using acoustic signals. State-of-the-art acoustic motion tracking systems however do not achieve millimeter accu…

cs.NI2018★ 83 cited

Living IoT: A Flying Wireless Platform on Live Insects

Vikram Iyer, Rajalakshmi Nandakumar, Anran Wang +2

Sensor networks with devices capable of moving could enable applications ranging from precision irrigation to environmental sensing. Using mechanical drones to move sensors, howeve…

cs.NI2018★ 7 cited

Surface MIMO: Using Conductive Surfaces For MIMO Between Small Devices

Justin Chan, Anran Wang, Vikram Iyer +1

As connected devices continue to decrease in size, we explore the idea of leveraging everyday surfaces such as tabletops and walls to augment the wireless capabilities of devices.…

cs.NI2017★ 63 cited

FM Backscatter: Enabling Connected Cities and Smart Fabrics

Anran Wang, Vikram Iyer, Vamsi Talla +2

This paper enables connectivity on everyday objects by transforming them into FM radio stations. To do this, we show for the first time that ambient FM radio signals can be used as…