RSSI-WSDE: Wireless Sensing of Dynamic Events Based on RSSI

Area of Science:

• Computer Science
• Electrical Engineering
• Smart City Technologies

Background:

• Wireless sensing is vital for smart cities, aiding human monitoring, route planning, and traffic management.
• Sensing dynamic events within static environments presents a significant challenge due to concealed information.
• Accurate detection of event timing and duration is crucial for effective data analysis and decision-making.

Purpose of the Study:

• To propose and validate a novel wireless sensing method for accurately detecting dynamic events.
• To address the challenge of sensing dynamic event information within static environments.
• To enable precise identification of the occurrence, timing, and duration of dynamic events.

Main Methods:

• Developed RSSI-WSDE, a wireless sensing method based on Received Signal Strength Indication (RSSI).
• Utilized variable-length sliding windows and statistical methods to process RSSI time series data.
• Employed z-score normalization and an adaptive threshold for enhanced detection and comparability.

Main Results:

• RSSI-WSDE accurately sensed the occurrence of dynamic events, including walking, running, cycling, and driving.
• The method precisely marked the specific time and duration of events with millisecond-level accuracy.
• Demonstrated robust performance in both indoor corridor and outdoor urban road environments.

Conclusions:

• RSSI-WSDE effectively overcomes the challenge of sensing dynamic events in complex environments.
• The proposed method offers high precision in detecting event timing and duration.
• RSSI-WSDE shows significant potential for enhancing smart city applications through reliable wireless sensing.