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, it 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 experimental measurements are conducted in laboratory. A high-quality network based on ZigBee is obtained, and then, RSSI can be calculated from the receiver 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. The Boat detection and tracking using radio signal strength in indoor wireless networks has attracted a great deal of interest from the research community because this technology can be applied in many applications including intrusion detection and tracking in buildings, monitoring and tracking in emergency situations and monitoring for controlling automated devices. In many scenarios, the boatss to be monitored cannot be expected to carry any radio device. Consequently, a device-free boat detection and tracking system, that works by monitoring and analyzing the changes in received signal strength patterns, is used to fulfill such a requirement.
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