SOLAR-BASED POWER GENERATION AGRICULTURAL PROCESS USING SSDA TECHNIQUE BASED ON REMOTE MONITORING AGRICULTURE ENVIRONMENTS

Abstract

Wireless Sensor Networks (WSN) play an essential role in remote monitoring in agriculture environments.
One of the crucial needs in the WSN is Data Aggregation with proficient energy management. The WSN
incorporates an enormous number of battery-powered wireless sensor nodes, and the significant issue is to
decrease vitality utilization while keeping up the ordinary capacity of the WSN network. In the agriculture
system based WSN contains enormous sensor nodes, during the data collection process all the sensor node
will transmit the data this process makes a lot of energy is wasted. Due to these constraints, the proposed
Self -Synchronized Data Aggregation (SSDA) controller will be the wake/sleep of the senor nodes; during
the process the data collected from the particular area nodes will be inaccessible state; otherwise, it will
sleep state. The gathered data will be transmitted over a long distance using the LoRa (Low Range) based
Wi-Fi protocol. The performance of the SSDA Controller in LoRa based WSN system will send the
agricultural parameters like parameter like soil moisture, temperature, PH value, and humidity to the cloud
system at periodic time bases this will improve power consumption in the entire system. The threshold
values of the agricultural parameters are varied; the WSN sends the values with sensor ID number, which
will quickly identify the location of the sensor nodes.