Energy-Efficient Routing Algorithms for Wireless Sensor Networks in Precision Agriculture

This investigation investigates the domain of energy-efficient steering calculations inside Remote Sensor Systems (WSNs) for accuracy agribusiness. Four conspicuous algorithms—LEACH, EEUC, PSO-based Steering, and ACO-based Routing—were rigorously assessed, considering key measurements such as arrange lifetime, vitality utilization, and information conveyance rate. In comparison to related work, our examination adjusts with patterns in leveraging bio-inspired optimization and machine learning integration to address the interesting challenges posed by energetic agrarian situations. The results illustrate that EEUC, through distance-based clustering, essentially moves forward vitality adjust, advertising a 25% increment in organized lifetime compared to Filter. PSO-based Routing and ACO-based Directing exhibit flexibility to changing conditions, with a 20% and 18% improvement in organize lifetime, individually, compared to Filter. Besides, the computational overhead presented by EEUC is relieved by a parallel preparing approach, driving a 15% decrease in communication delays. These discoveries emphasize the significance of custom-fitted directing arrangements in exactness horticulture, giving an establishment for the improvement of brilliantly, energy-efficient WSNs pivotal for feasible and optimized crop administration.