In most sensor network applications, the information gathered by sensors will be meaningless without the location of the sensor nodes. Node localization has been a topic of active research in recent years. Accurate self-localization capability is highly desirable in wireless sensor network (WSN). This paper proposes a genetic simulated annealing algorithm based localization (GSAAL) algorithm for WSN. The proposed algorithm adopts two new genetic operators: single-vertex- neighborhood mutation and the descend-based arithmetic crossover. Four example problems are used to evaluate the performance...
