摘要
提出了一种无线传感器网络中基于移动代理带证据权的D-S融合算法。引入证据权对证据进行修正以降低冲突数据对融合结果的影响。采用三级D-S组合规则进行融合决策:节点级融合计算单个节点时间域融合检测概率;簇内级融合计算簇内节点间空间域融合检测概率获取局部决策结果;簇间级融合计算簇间的融合检测概率获取最终的全局决策结果。仿真结果表明,本算法能以较小的能耗代价获取准确的融合结果并有效降低冲突数据对融合结果的影响。
An agent-based D-S data fusion algorithm with evidence weights in wireless sensor net works is proposed. Evidence weights are adopted to modify the evidences before fusion in order to reduce the impact of data conflicts on fusion result. Three-level D-S combination rules are used to make fusion decision, the fusion detection probabilities of single node in time domain are calculated in the node-level fusion,and the detection probabilities of intra-cluster nodes in space domain are calculated to obtain the local decision in the intra-cluster level fusion. The fusion detection probabilities among clusters are calcu- lated to obtain the final global decision in the inter-cluster level fusion. The stimulation results show that the proposed algorithm can obtain an accurate fusion result with lower energy consumption.
出处
《计算机工程与科学》
CSCD
北大核心
2014年第10期1919-1924,共6页
Computer Engineering & Science
基金
国家自然科学基金资助项目(61373126)
江苏省自然科学基金资助项目(BK20131107)
