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%。
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 %.
出处
《传感器与微系统》
CSCD
北大核心
2014年第1期141-143,153,共4页
Transducer and Microsystem Technologies
基金
国家自然科学基金资助项目(61202099)
河南省教育厅自然科学研究重点资助项目(13A520192)
河南省重点科技攻关资助项目(102102210026)
关键词
无线传感器网络
免疫优化
免疫补体
感知资源分配
wireless sensor networks （WSNs）
immune optimization
immune complement
perception resourceallocation
