基于量子衍生方法的无线传感器节点分布优化  

Distribution Optimization of Wireless Sensor Nodes Based on Quantum Derivative Method

作　　者：曹建国[1] 

机构地区：[1]安徽工贸职业技术学院,安徽淮南232007

出　　处：《廊坊师范学院学报（自然科学版）》2011年第2期28-30,共3页Journal of Langfang Normal University(Natural Science Edition)

摘　　要：无线传感器节点所处的动态、不可预知和有噪声的外部环境与无线传感器节点模型中的不确定性信息、非结构化知识等,使之缺乏高效的表达方式与推理计算方法。因此,研究一种面向不确定性信息的表达、模型与推理机制才能较好地解决上述问题。量子衍生方法本身基于一种概率表达方式,能较好地表达不确定信息,基于量子衍生机制的量子信息表达方式与量子门干涉推理方法是一种潜在的可行解决办法。Wireless sensor nodes in which the dynamic,unpredictable and noisy external environment and the wireless sensor node model uncertain information,unstructured knowledge,lack of efficient expression and reasoning method.Therefore,the study an expression for the uncertainty information,models and reasoning mechanism in order to better address the issue.Quantuminspired method itself is based on a probability of expression,the expression of uncertain information can be better,based on quantum information derived from the mechanism of expression and the quantum interference of quantum gates,reasoning is a potential viable solution.

关 键 词：入侵检测器 量子遗传算法 入侵检测 网络安全 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]