A Review on Precision Agriculture Using Wireless Sensor Networks Incorporating Energy Forecast Techniques

Wireless sensor networks (WSNs) are prominently used for environment monitoring, however, energy constraints limit their applications. So, the energy consumption need to be optimized and also an attempt should be made to harvest energy from natural resources. Most of the WSNs depend on solar irradiations for energy harvesting. Unfortunately, the energy harvested from solar radiations is intermittent and highly dependent on weather conditions. To make the systems more energy efficient, energy prediction is essential so that the sensor nodes can schedule tasks accordingly to best suit energy level of battery. This review outlines the various energy prediction techniques, the clustering and routing selection methods and compares earlier research works on agriculture based WSNs. An attempt is made to find the best method for energy prediction and optimum task scheduling.

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