一种面向物联网动态感知图像的量子遗传传输新方法

A kind of novel transmission approach based on QG for DSⅡOT

由于物联网动态感知图像传输的移动性、分布式控制等特点,本文在对现有量子遗传算法(Quantum Genetic Algorithm)的基础上对其进行改进,并结合最优链路状态路由中多点中继技术的特点,提出了一种面向物联网动态感知图像的传输新方法.该方法的创新之处在于利用量子基因位对物联网动态感知图像传输中的图像节点进行编码处理,基于启发式规则以及适应度规则选取中继节点路由,通过量子交叉对节点中的基因链进行交叉操作,以到达收敛和全局最优的目的.仿真和应用实验都表明提出的新方法是切实可行的.该方法在物联网动态感知图像的相关应用中有较好的网络传输效果.

Due to the mobility and distributed control of DSⅡOT(Dynamic Sensed Image of Internet of Things,DSⅡOT),the transmission methods of DSⅡOT have to adapt to the rapidly changes of the network topology structure,and which have to make sure the maximum saving of network resources.In order to solve this problem,in this paper,we improve the quantum genetic algorithm,combine with the characteristics of Optimized Link State Routing(OLSR)which is based on the technology of Multipoint Relay Routing(MPR),and put forward a kind of novel transmission approach based on quantum genetic for DSⅡOT.The innovation of the method is as follows:encoding and initializing the node of DSⅡOT are based on the quantum gene bit;selecting the set of MPR is based on heuristic rule and fitness rule;doing cross work of gene link is based on gene crossing.This approach overcomes the shortage of the traditional method by optimizing the selection of MPR,and ensures the convergence&its global optimization.The experimental results tell us that it has the better performance of transmission for the applications of DSⅡOT.