Applying differential evolution algorithm to deal with optimal path issues in wireless sensor networks

The first step in using differential evolution algorithm to solve optimal path problems in wireless sensor networks is, to establish an optimization model on the basis of an analysis of the optimization issues in wireless sensor networks. Then use differential evolution algorithm as a search tool, to find ways in minimizing the energy consumed in the established optimization model. Finally, in contrast with classical algorithms, the results acquired from our experiments clearly demonstrated the effectiveness of the differential evolution method used in our research.