Academy & Industry Research Collaboration Center
In this paper, the authors are proposing to develop energy aware model for sensor network. In their approach, first they used DBSCAN clustering technique to exploit the spatiotemporal correlation among the sensors, then they identified subset of sensors called representative sensors which represent the entire network state. And finally they used nature inspired algorithms such as ant colony optimization, bees colony optimization, and simulated annealing to find the optimal transmission path for data transmission. They have conducted their experiment on publicly available Intel Berkeley Research Lab dataset and the experimental results shows that consumption of energy can be reduced.