TY - GEN
T1 - FTM and PDR Based Dynamic Mapping for Indoor Localization Enhanced by Wi-Fi Aware
AU - Savvidis, Lazaros
AU - Mavromoustakis, Constandinos
AU - Song, Houbing H.
AU - Markakis, Evangelos K.
AU - Batalla, Jordi Mongay
AU - Mastorakis, George
N1 - Publisher Copyright:
© 2025 IEEE.
PY - 2025
Y1 - 2025
N2 - This paper addresses the challenge of device localization within a Wi-Fi network. It introduces a novel localization technique, using a pre-constructed map with predefined positions around an Access Point (AP). The Wi-Fi client devices (STAs), are positioned on the map utilizing the capabilities of the Fine Time Measurement (FTM) protocol (IEEE 802.11mc), and tracked using the Pedestrian Dead Reckoning (PDR) method, which leverages the device's Micro-Electro-Mechanical Systems (MEMS). It also harnesses the capabilities of Neighbor Awareness Networking (NAN) technology, to discover the distances between Wi-Fi Aware certified devices. This method requires no additional equipment or prior setup, since one AP is sufficient to determine the STA's position. The findings suggest that this approach provides a scalable and efficient solution for IoT applications.
AB - This paper addresses the challenge of device localization within a Wi-Fi network. It introduces a novel localization technique, using a pre-constructed map with predefined positions around an Access Point (AP). The Wi-Fi client devices (STAs), are positioned on the map utilizing the capabilities of the Fine Time Measurement (FTM) protocol (IEEE 802.11mc), and tracked using the Pedestrian Dead Reckoning (PDR) method, which leverages the device's Micro-Electro-Mechanical Systems (MEMS). It also harnesses the capabilities of Neighbor Awareness Networking (NAN) technology, to discover the distances between Wi-Fi Aware certified devices. This method requires no additional equipment or prior setup, since one AP is sufficient to determine the STA's position. The findings suggest that this approach provides a scalable and efficient solution for IoT applications.
KW - Fine Time Measurement (FTM)
KW - Indoor Positioning
KW - Internet of Things (IoT)
KW - Micro-Electro-Mechanical Systems (MEMS)
KW - Neighbor Awareness Networking (NAN)
KW - Pedestrian Dead Reckoning (PDR)
KW - Wi-Fi Aware
UR - https://www.scopus.com/pages/publications/105011354063
U2 - 10.1109/IWCMC65282.2025.11059640
DO - 10.1109/IWCMC65282.2025.11059640
M3 - Conference contribution
AN - SCOPUS:105011354063
T3 - 21st International Wireless Communications and Mobile Computing Conference, IWCMC 2025
SP - 1354
EP - 1359
BT - 21st International Wireless Communications and Mobile Computing Conference, IWCMC 2025
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 21st IEEE International Wireless Communications and Mobile Computing Conference, IWCMC 2025
Y2 - 12 May 2024 through 16 May 2024
ER -