无线传感器节点的部署在无线传感网络中起着重要的作用,节点的部署优化与否关系到整个网络的生命周期。为了能通过节点部署扩大传感区域的覆盖程度,提出了量子遗传算法,该算法用量子比特编码来表示染色体,用量子旋转门和量子非门来实现染色体的更新,从而实现对目标问题的优化求解。仿真结果表明,该方法用于传感器节点优化部署是可行的。
The placement of sensor node is important in wireless sensor network, the optimal sensor node or not relate to the life of the network. In order to enlarge the bestrow degree of sensor region, quantum genetic algorithm is advanced, this algorithm use quantum bit to denote chromosome, use quantum revolution door and quantum mistake the door to come true the chromosome renewal, thereby optimize the solution of the target problems. Theory and simulation results indicate that this way used to the placement of sensor node is feasible.