5 citations · 5 across the 3 of their papers we have counts for
3 papers
cs.NI2023
Packet Reception Probability: Packets That You Can't Decode Can Help Keep You Safe
Subham De, Deepak Vasisht, Hari Sundaram +1
This paper provides a robust, scalable Bluetooth Low-Energy (BLE) based indoor localization solution using commodity hardware. While WiFi-based indoor localization has been widely…
eess.SP2021
smol: Sensing Soil Moisture using LoRa
Daniel Kiv, Garvita Allabadi, Berkay Kaplan +1
Technologies for environmental and agricultural monitoring are on the rise, however, there is a lack of small, low-power, and lowcost sensing devices in the industry. One of these…
cs.NI2017★ 5 cited
Finding by Counting: A Probabilistic Packet Count Model for Indoor Localization in BLE Environments
Subham De, Shreyans Chowdhary, Aniket Shirke +3
We propose a probabilistic packet reception model for Bluetooth Low Energy (BLE) packets in indoor spaces and we validate the model by using it for indoor localization. We expect i…