Compared to conventional solutions which utilize a complex set of sensors for detection, the proposed approach achieves the same only by RSSI volatility. Then, a device-free human detection method is proposed. So this paper firstly raises a real-time RSSI link quality evaluation method based on the exponential smoothing method. The packet reception rate (PRR) based on a large number of data packets cannot reflect the real-time link quality accurately. Packet loss is observed to be a familiar phenomenon with transmissions of WSNs. 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.
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