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出 处:《计算机工程与设计》2013年第11期3825-3828,3839,共5页Computer Engineering and Design
摘 要:通过对现有无线传感器网络溯源定位方案的分析,提出了改进的基于层次式混合概率包标记的溯源定位解决方案。结合无线传感器网络的分簇结构,通过扩大节点标记概率之间的差值,增加上游节点标记的到达概率,提高算法收敛性,降低节点负担和算法复杂度,从概率包标记算法、节点的标记方法、路径重构算法3个方面对方案的实现过程进行详细说明。性能分析和仿真结果表明,该方案与现有方案相比,在收敛性和节点负担等性能指标上有明显改善,是在WSN资源约束严格条件下的一种整体优化。According to analyze the insufficiency of the current scheme, a traceback localization mechanism based on layered mixed probabilistic packet marking is proposed. Combined with the cluster structure of wireless sensor networks, the distance of nodes' marking probability is enlarged and the reaching probability of nodes of advanced position is increased by amplifying the relative distance of nodes. It is detailedly described in probabilistic packet marking algorithm, sensor's marking method and path construction three ways. Comparing with current schemes, the proposed mechanism is improved obviously in convergence and sensor's burden, and it is a kind of whole optimization under resource constraint conditions.
关 键 词:无线传感器网络 溯源定位 概率包标记 收敛性 仿真
分 类 号:TP393[自动化与计算机技术—计算机应用技术]
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