A novel intelligent method based on artificial immune system in wireless sensor networks

Wireless sensor networks consist of many sensor nodes which are installed in a region to supervise and control physical phenomena such as moisture, temperature, movement,and sound. Since the sensor nodes are densely placed, the data always possesses spatial correlation leading to a lot of dataredundancy. The transmission of this redundant data wastes the energy of the network and shortens its lifetime. Therefore, it isvery important to use these correlations to reducecommunications in sensor networks. In this article, a novel intelligent hybrid method is developed in which both the immunesystem algorithm and the simulated annealing algorithm are employed. By using this method we select the most appropriatesensors for data transmission and avoid redundant data transmission. Consequently the energy loss of the system decreases, and energy consumption of sensor nodes becomes balanced. Simulation results prove that the method successfully reduces energy consumption in the network.