Abstract
Wireless Sensor Network (WSN) is a new prevalent technology being developed. If integrated with agriculture, WSN can provide a new paradigm in increasing yield and improving production of crops. It can particularly be helpful in monitoring crops in protected environments like greenhouses. WSN assures optimal climatic conditions for crops by sensing parameters and sending it to a central repository for monitoring and further action. For efficient monitoring, collection of data or sampling is an important factor to be considered. This paper proposes a Variance Adaptive Sporadic (VAS) sampling technique to decide sampling strategy for the collection of sensed data. This paper particularly explores and capitalizes on slow dynamic parameters of the greenhouse environment. By optimizing sampling frequency for data collection, the proposed system saves on energy consumption in the form of the number of transmissions without compromising reliability of data.
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