Energy-efficient Solar-powered Wireless Sensor Network for Smart Agriculture

Abstract

Agricultural Surveillance requires constant collection of environmental data, including temperature, humidity, and soil moisture. Traditional wireless sensor networks rely mainly on batteries, which can necessitate frequent maintenance and replacement. This study suggests a Solar-Powered Wireless Sensor Network (SP-WSN) for smart agriculture that uses energy-efficient clustering, solar energy harvesting, and LoRa communication techniques. Solar energy harvesting supplies renewable power to sensor nodes implemented across agricultural fields. The sensor nodes obtain crop and environmental parameters and transfer the information utilizing a wireless communication network. An energy-efficient clustering and routing technique is utilized to balance the energy usage between sensor nodes and reduce unnecessary communication. A LoRa- based communication technique can be used to transmit low-power data across long distances between sensor nodes and the gateway. The Solar-Powered Wireless Sensor Network (SP-WSN) has been proposed to enhance energy effectiveness, communication consistency, and lifespan of the network. The performance assessment will take into account various factors including energy usage, length of time the network can run, packet delivery rate (PDR), time taken for remote transmission, amount of data sent, and remaining power supply. Performance of this technology should be evaluated according to specific procedures either through experiments or simulations in order to come up with stable measures.