Immune-Based Data Fusion Mechanism in Wireless Sensor Network

Abstract

To reduce the transmissions among sensor nodes and prolong the lifecycle of the wireless sensor network, a data fusion mechanism based on immune was put forward. The self-study and self-adaptation characters of artificial immune system were used to bring an immune fusion algorithm forward. In the algorithm, the immune anti-redundancy, immune selection and immune memory were used to ensure high reliability and low redundancy. The experiments show that the mechanism can reduce the energy consumption effectively, and has preferable common use character.