TY - GEN
T1 - IMHPS
T2 - 10th International Conference on Wireless Communications, Signal Processing and Networking, WiSPNET 2025
AU - Bavishya, S.
AU - Noble, Nevlin
AU - Muralidharan, Bhagyalakshmi
AU - Benedict, Shajulin
N1 - Publisher Copyright:
© 2025 IEEE.
PY - 2025
Y1 - 2025
N2 - Large-scale efforts used in designing smarter homes enriching personal comforts point toward a need for innovative smart home applications and frameworks. The continuous operation of IoT-enabled devices at home, especially surveillance-based home security systems or air quality monitoring units, promotes the utilization of mobile hotspots in addition to the traditional broadband-based Wi-Fi networks. However, identifying the locality of placing mobile hotspots is remaining a challenge in the existing smart home infrastructures while executing smart home applications. In this article, an IoT-Enabled Mobile Hotspot Positioning System (IMHPS) is proposed to automatically calculate the signal strength of mobile hotspots while establishing connectivity with IoT-enabled smart home devices. The Connectivity Scanner (CS) component of the proposed IMHPS published signal strengths of mobile hotspots to appropriate subscribers in real-time. Experiments were carried out in a smart home environment to study the efficiency of the proposed IMHPS system. The utilization of tiny microcontrollers in the CS component of the proposed IMHPS was evaluated by varying core CPU frequencies. The proposed IMHPS approach notified users about the signal quality of access points based on the placement locations of mobile hotspots. Additionally, a comparative analysis of different CS solutions was illustrated in the article - i.e., ESP32-Wrover-B-based CS component achieved an improvement of 60 milliseconds when operated with 240 MHz instead of 80 MHz.
AB - Large-scale efforts used in designing smarter homes enriching personal comforts point toward a need for innovative smart home applications and frameworks. The continuous operation of IoT-enabled devices at home, especially surveillance-based home security systems or air quality monitoring units, promotes the utilization of mobile hotspots in addition to the traditional broadband-based Wi-Fi networks. However, identifying the locality of placing mobile hotspots is remaining a challenge in the existing smart home infrastructures while executing smart home applications. In this article, an IoT-Enabled Mobile Hotspot Positioning System (IMHPS) is proposed to automatically calculate the signal strength of mobile hotspots while establishing connectivity with IoT-enabled smart home devices. The Connectivity Scanner (CS) component of the proposed IMHPS published signal strengths of mobile hotspots to appropriate subscribers in real-time. Experiments were carried out in a smart home environment to study the efficiency of the proposed IMHPS system. The utilization of tiny microcontrollers in the CS component of the proposed IMHPS was evaluated by varying core CPU frequencies. The proposed IMHPS approach notified users about the signal quality of access points based on the placement locations of mobile hotspots. Additionally, a comparative analysis of different CS solutions was illustrated in the article - i.e., ESP32-Wrover-B-based CS component achieved an improvement of 60 milliseconds when operated with 240 MHz instead of 80 MHz.
KW - ESP32
KW - IoT
KW - Microcontrollers
KW - Mobile Hotspot
KW - Smart Home
UR - https://www.scopus.com/pages/publications/105007545101
U2 - 10.1109/WiSPNET64060.2025.11004636
DO - 10.1109/WiSPNET64060.2025.11004636
M3 - Conference contribution
AN - SCOPUS:105007545101
T3 - 10th International Conference on Wireless Communications, Signal Processing and Networking, WiSPNET 2025
BT - 10th International Conference on Wireless Communications, Signal Processing and Networking, WiSPNET 2025
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 20 March 2025 through 22 March 2025
ER -