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Because of many upcoming real-time applications in Wireless Sensor Network (WSN), it has become one of the emerging areas for research. For applications such as monitoring natural disasters like volcano eruption, earthquake, Forest fire etc., or applications like healthcare, checking of soil moisture, machine surveillance etc., an energy-efficient and reliable protocol is required. In such applications, the situation needs to be handled urgently and reliably when the temperature of the region crosses the threshold value. As we are moving forward into an era of human-centric safety-critical applications, it is particularly important to make sure that a networked system offers a reliable and deterministic performance despite all possible temperatures changes over its deployment lifetime. It is important to learn the properties of such natural disasters to provide warning well in advance. Temperature affects the performance of the sensor nodes. In our work, we have implemented a system that will monitor the variation in temperature and its effect on sensor nodes. In our work, we will observe the effect of the rise in temperature on the functionality of the node. The change in temperature affects the RSSI value which is used as an indicator for detection of volcano eruption.