Monitoring variety of temperature and ambient humidity is one of the most important and widespread application of Wireless Sensor Networks(WSN). Thus, the supply of energy for each sensor node in WSN is very limited which results in the reduction of energy usage in many applications, increasing the lifetime of WSN. However, a well-organized sensing data that is collected in large amount and distributed densly over the wide network of sensors is the major challenge in most of the research areas. The mobility of a sink node is considered to be an effective solution for managing big data and its collection. Here, we develop a framework to leverage the correlation between set of sensor nodes that are most active.