A bio-inspired coverage-aware scheduling scheme for wireless sensor networks

In the densely deployed wireless sensor networks, sensors are scheduled over time in order to maintain the coverage while saving energy of networks. In this article, we investigate the coverage-aware scheduling problem using genetic algorithms. Sensors are optimally scheduled in different time slots to maximize the overall coverage under the given k-cover requirement and lifetime of networks. A set of simulation is carried out. The simulation result shows that, using the optimal schedule generated by genetic algorithm, our algorithm can optimize the coverage performance of wireless sensor network in terms of overall coverage rate and number of active sensors.