Adaptive Strategies for Dynamic Setting of the Data Register Frequency in Wireless Sensor Networks

Some types of wireless sensor networks applications allow a lower data register frequency. Hence, the variation of the data register frequency provides energy saving to the sensor nodes. Environmental monitoring for precision agriculture is a context example in which the variation of the data register frequency can be used. This work proposes two strategies based on adaptive automata that dynamically set the gap (time) between the data register and the sending of data from the sensor. These strategies consist in using a default lower data register frequency when the data values are in a normal interval, and use high frequency when the data value registered from sensors are considered atypical, or a special phenomenon. In this special case, the wireless sensor network should register the data in more detail. Using the dynamic setting of the data register frequency, energy savings from sensor nodes were obtained, without the wireless sensor network losing efficiency in environmental monitoring.