In recent years, Wireless Sensor Networks (WSNs) researc h has undergone a quiet revolution, providing a new paradigm for sensing and disseminating informat i n from various environments. In reality, the wireless propagation channel in many harsh environments has a significant impact on the coverage range and qua lity of the radio links between the wireless nodes (motes). Therefore, the use of diver sity t chniques (e.g., frequency diversity and spatial diversity) must be considere d to ameliorate the notoriously variable and unpredictable point-to-point radio communication links . However, in order to determine the space and frequency diversity chara cteristics of the channel, accurate measurements need to be made. The most repre sentativ and inexpensive solution is to use motes, however they suffer poor accurac y owing to their low-cost and compromised radio frequency (RF) performance. In this report we present a novel automated calibration system for characterising mote RF performance. The proposed strategy provides us with good knowledge of t h actual mote transmit power, RSSI characteristics and receive sensitivity by establishing calibration tables for transmitting and receiving mot e pairs over their operating frequency range. The validated results show that our autom ated calibration system can achieve an increase of 5 . 1 ± dB in the RSSI accuracy. In addition, measurements of the mote transmit power show a significant diffe renc from that claimed in the manufacturer's data sheet. The proposed calibrati on method can also be easily applied to wireless sensor motes from virtually any vendor, provided they have a RF connector.
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