The application of QGA in sensor optimization design

In this paper, the Quantum Genetic Algorithms is used to do sensor optimization design. The results indicate that the QGA can solve the problems of parameter optimization in the sensor design. The placement of sensor node is important in wireless sensor network, optimize sensor node or not which relate to the life circle of the network. In the past the algorithms be used in sensor node placement can not reach large coverage, which affect the life cycle of the network serious, researchers try many methods to solve the problem, but the result is not satisfied. With the appearance of quantum genetic algorithm, this situation has changed. In order to enlarge the coverage degree of sensor region, the paper advance quantum genetic algorithm, this algorithm use quantum bit to denote chromosome, use quantum rotation door and quantum NOT door to come true the chromosome renewal, thereby optimize the solution of the target problems.