Adaptive TDMA-based clustering for critical event detection in Wireless Sensor Networks

In this paper, a novel adaptive TDMA-based clustering for critical event detection in Wireless Sensor Networks (WSN) is proposed. The aim of our adaptive approach is to detect the critical event, such a fire detection in the forest, at the required delay with minimum energy consumption. So, when an event occurs, only the sensor nodes in the detection area will be in active mode, while the others will be in sleep mode. The reaction to the event is made locally. This behavior can consume less energy. The simulation results show that our adaptive approach is better than the non-adaptive approach. We have compared our results to other works and we have proved the efficiency of our approach in terms of energy consumption.