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机构地区:[1]第二炮兵工程学院,陕西西安710025 [2]第二炮兵工程技术总队,河南洛阳471031
出 处:《解放军理工大学学报(自然科学版)》2010年第1期49-53,共5页Journal of PLA University of Science and Technology(Natural Science Edition)
基 金:中国博士后科学基金资助项目(20070411116)
摘 要:针对衰落信道网络中传感节点难以准确获取检测信息的问题,构建了并行结构分布检测的系统模型,提出了一种基于投票机制的决策融合算法。通过邻居节点间的信息交互,各传感节点获取了通讯半径内邻居节点的判决,并根据多票优先的原则重新调整自身决策,提高了检测的准确性。理论分析和仿真实验表明,该算法比传统的EGC融合规则具有更高的检测概率和稳定性,适合中等规模无线传感器网络。To enhance the probability of detection in fading channel wireless sensor networks (WSN), a parallel distributed detection model and the corresponding algorithm based on vote were presented. In this model, each sensor got the decision of its adjacent sensors by exchanging message in the broadcasting area. Then the central sensor modified its decision according to the majority principle, which improved the detection accuracy. The performance of the proposed approach was confirmed by theoretical analysis and the simulation results shows that compared to EGC, this approach has a high detection probability and stead performances and is more suitable for moderate WSN.
分 类 号:TP393[自动化与计算机技术—计算机应用技术]
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