Life Time Prediction of Battery Operated Node for Energy Efficient WSN Applications
Energy efficiency is an important criterion for battery powered Wireless Sensor Network (WSN) nodes. A typical WSN node is 'Idle' most of the life time when it is not communicating. The energy consumption can be reduced drastically by putting the radio in deep sleep during this state. The duty cycle for sleep state can be optimized by considering the network latency and required life time. This paper presents the empirical energy consumption modeling of microcontroller based WSN node. The energy consumption of WSN node is measured in different operational states, e.g., Idle, Listen, Transmit and Sleep. These results are used to predict the WSN node life time with variable duty cycle for sleep time.