Abstract
This paper presents a device-free human detection method for using Received Signal Strength Indicator (RSSI) measurement of Wireless Sensor Network (WSN) with packet dropout based on ZigBee. Packet loss is observed to be a familiar phenomenon with transmissions of WSNs. The packet reception rate (PRR) based on a large number of data packets cannot reflect the real-time link quality accurately. So this paper firstly raises a real-time RSSI link quality evaluation method based on the exponential smoothing method. Then, a device-free human detection method is proposed. Compared to conventional solutions which utilize a complex set of sensors for detection, the proposed approach achieves the same only by RSSI volatility. The intermittent Karman algorithm is used to filter RSSI fluctuation caused by environment and other factors in data packets loss situation, and online learning is adopted to set algorithm parameters considering environmental changes. The experimental measurements are conducted in laboratory. A high-quality network based on ZigBee is obtained, and then, RSSI can be calculated from the receive sensor modules. Experimental results show the uncertainty of RSSI change at the moment of human through the network area and confirm the validity of the detection method.
Highlights
Object detection is a popular area of research
The other is by using Received Signal Strength Indicator (RSSI) and link quality indicator (LQI) [9]
This paper describes a Wireless Sensor Network (WSN) for real-time human detection by the fluctuation of RSSI
Summary
Detection based on WSN processes object information collected by sensors, sends to the control center, and analyses the data to realize the detection [1]. Pyroelectric infrared [2], voice signal, vibration signal, and magnetic signal sensors are commonly used for detection. These detection studies often require external sensors or human body carrying corresponding equipment [3, 4]. Packet loss is an important factor that reduces the robustness of WSNs. The research on correctly implementing reasonable control strategies to improve network performance has attracted wide attention from many scholars. RSSI is one of link quality evaluation indicators and has been widely used in localization [10], distance estimation, and link quality assessment
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