气味标记法优化免疫算法的覆盖策略

覆盖问题一直是无线多媒体传感器网络研究的重点领域。为了能够达到对目标区域有效覆盖的同时，减少网络能耗，延长网络寿命的目的，提出了一种气味标记法优化的免疫算法SMOIA（Scent Marking Optimization Immune Algorithm）。该方法利用改进的气味标记算法，在被覆盖区域设置必要的气味标记点，在这些点设置传感器节点能够有效提高对目标区域的覆盖率，减少冗余节点数量；使用免疫算法来避免一般算法容易陷入局部最优的问题。仿真实验表明，该算法能够有效提高网络覆盖率，减少网络中传感器节点数量，延长了网络寿命，并且收敛迅速。

Coverage Strategy of Scent Marking Optimization Immune Algorithm

The coverage problem has been the focus of research in wireless multimedia sensor networks. In order to improve the efficiency of coverage in networks,meanwhile,to reduce energy consumption and prolong the network lifetime,a novel of Scent Marking Optimization Immune Algorithm(SMOIA)was proposed. The method uses an im?proved Scent Marking Algorithm,set the necessary scent marking points in the area. To set the sensor nodes at these points can improve the coverage of the target area effectively,reducing the number of redundant nodes. The immune algorithm can use to avoid the problem that the general algorithm is easy to fall into local optimization. Sim?ulation results show that the algorithm can improve the coverage ratio effectively,reduce the number of sensors in networks,prolong the network lifetime and converges rapidly.