中文摘要：

基于无线传感器网络资源分配的非确定多项式（NP）难特性，提出了一种基于免疫补体优化的感知资源分配算法，提高了对感知资源的检查效率。给出了问题的优化模型和实现过程。借鉴免疫补体机制，设计了分裂算子、结合算子；抗体克隆扩增时根据激励度进行，保证了解的多样性。实验结果表明：该算法目标检测成功率随着检测目标数的不同而变化，最高检出率可达92％。

英文摘要：

For the non-deterministic polynomial （NP）-hard feature of resource allocation in wireless sensor networks（WSNs）, a perception resource allocation algorithm based on immune complement optimization is proposed and detection rate on perception resource is improved. The optimization model and algorithm implementation process are given. Inspired from the immune complement, splitting operator and combining operator are designed. According to the degree of incentive to clone which ensure the diversity of the solutions. The experimental results show that the detection rate is varied with the number of detection goals, the maximum detection rate is up to 92 %.