Accuracy of propagation models to power prediction in WSN ZigBee applied in outdoor environment

Propagation in Radiofrequency is a constant concern in the application of Wireless Sensor Networks (WSN), the behavior of an environment determines how good the quality of signal reception. The sensor network environment suffers undesirable effects which affect the communication between the modules, the correct modeling of environmental effects is the realized by received power prediction that is important for the deployment in the desired environment. The objective of this paper is to analyze the behavior of a WSN applied in Brazilian forests and places of beans agriculture, where environmental variables are present, and correlate the captured values of received signal strength (RSSI) with models to power prediction in WSN, and show the best model for this application.