ABSTRACT
Wireless sensor networks (WSNs) are rapidly being employed on farms to improve quality and output. The sensors in this app collect data on temperature, humidity, and CO2 content in the atmosphere in real time. Encrypted data storage prevents enemies from assembling, disseminating, and acting on newly found information. This study’s focus is on data security from source to consumer. It also presents a full data security model that is compatible with a wide range of farm monitoring apps and is independent of network architecture or structure. The model proposed takes into account real-world difficulties, sensor node design, and the requirement to save energy while retaining data privacy. It also improves the model via technological and organizational activities. Simulation is used to see how much power the model uses. This approach provides strong data security at the cost of a little increase in energy consumption at the receiver and sender nodes, and an increase in energy consumption per bit, of up to 3 percent, 8 percent, and 1.4 percent respectively, due to the increased effort needed for network authentication. This is a modest expense in terms of energy use.
