Clustered Wireless Sensor Network in Precision Agriculture via Graph Theory.

Food security and sustainable development is making a mandatory move in the entire human race. The attainment of this goal requires man to strive for a highly advanced state in the field of agriculture so that he can produce crops with a minimum amount of water and fertilizer. Even though our agricultural methodologies have undergone a series of metamorphoses in the process of a present smartagricultural system, a long way is ahead to attain a system that is precise and accurate for the optimum yield and profitability. Towards such a futuristic method of cultivation, this paper proposes a novel method for monitoring the efficient flow of a small quantity of water through the conventional irrigation system in cultivation using ClusteredWireless Sensor Networks (CWSN). The performance measure is simulated the creation of edge-fixed geodetic clusters using Mat lab's Cup-carbon tool in order to evaluate the suggested irrigation process model's performance. The findings of blocks 1 and 2 are assessed. Each signal takes just a little amount of energy to communicate, according to the performance. It is feasible to save energy while maintaining uninterrupted communication between nodes and cluster chiefs. However, the need for proper placement of a dynamic control station in WSN still exists for maintaining connectivity and for improving the lifetime fault tolerance of WSN. Based on the minimum edge fixed geodetic sets of the connected graph, this paper offers an innovative method for optimizing the placement of control stations. The edge-fixed geodetic cluster makes the network fast, efficient and reliable. Moreover, it also solves routing and congestion problems. [ABSTRACT FROM AUTHOR]