ABSTRACT
WSN (wireless sensor network) can be deployed in large agricultural fields or greenhouses to increase the yield of crops. Especially over large areas where human monitoring is not possible, WSN can provide a helping hand. This paper proposes to explore and analyse the dynamics of environment in large area and utilize the information while deploying sensor nodes. To understand the role of dynamics, entire area can be divided into regions on the basis of rate of change in parameters. Depending on the frequency of change of measured parameters, separate regions are proposed to have non-uniform number of sensor nodes. Since parameters of different regions are varying at dissimilar rates, so transmission interval cannot be same for all the defined regions. Data is transmitted from nodes of separate regions at different sampling interval. Thus the work proposes to optimize number of sensor nodes and sampling interval to save energy in a WSN deployment for large fields like tea gardens.
