摘要： 将SMART数据融合算法应用于无线体域网时存在通信量大和精确度低的问题。为此，分别对算法中数据分片、串通和融合阶段进行优化，提出一种改进的SMART算法。在数据分片阶段禁止非叶子节点发送数据并构建不分片节点集，减少通信量；在数据串通阶段利用负数分片数据平衡通信碰撞损失，提高融合精确度；在数据融合阶段对无线体域网重复性数据进行规约处理，进一步减少通信量。性能分析与仿真结果表明，改进算法可在保证原算法隐私保护性不变的前提下，有效提升运算效率和融合精确度。

关键词: 无线体域网, 隐私保护, 数据分片, 数据串通, 数据融合, 归约

Abstract: To address the high traffic and low precision of the Slice Mix Aggregate(SMART) data fusion algorithm applied to Wireless Body Area Network(WBAN),this paper proposes an improved SMART algorithm that optimizes data segmentation,collusion and fusion in SMART.During data segmentation,the algorithm prohibits non leaf nodes from transmitting data and constructs a node set that does not participate in data segmentation,so the traffic is reduced.During data collusion,data of negative segmentation is used to offset the loss in communication collision and improve the precision of data fusion. Finally,during data fusion,duplicate data in WBAN is eliminated for further traffic reduction.Performance analysis and simulation results show that the improved SMART algorithm can efficiently increase the computational efficiency and precision of data fusion while keeping the privacy protection performance of the SMART algorithm.

Key words: Wireless Body Area Network(WBAN), privacy protection, data fragmentation, data collusion, data fusion, reduction

中图分类号: 

• TN393