摘要
针对当前数据融合算法存在数据传输时延较长、效率低的问题,为此,提出基于非均匀簇的无线体域网中轻量级数据融合算法。利用数据的最大值和最小值等条件计算网络中节点的通信半径,利用簇头通信范围中的特殊节点来混杂数据,提升数据的隐私保护,簇头节点需要将簇内成员的随机数种子发送给基站,当网络通信半径中簇的普通节点不能当作邻节点时,将数据发送到所在簇的簇头、邻簇头和自身节点中。利用簇头之间的多跳路由协议将融合后的轻量级数据发送给汇聚点,汇聚点可以根据混杂数据的总和减掉无线体域网中所有的节点种子,并将其直接发送给基站,基站可以获取数据融合结果,最终实现轻量级的数据融合。实验结果表明,提出算法的数据传输时延较短并且数据融合结果与实际结果的拟合度较高。
Due to long data transmission delay and low efficiency of current data fusion algorithm, this paper focused on an algorithm to fuse lightweight data in wireless body area network based on non-uniform cluster. Firstly, maximal value and minimum value of data were used to calculate the communication radius of node in the network. Secondly, the special nodes in communication range of cluster head were used to mix data and enhance the privacy protection of data. The cluster head node needed to send the random number seeds of members in cluster to the base station. When the common nodes of the cluster in network communication radius could not be regarded as the neighbor nodes, the data were sent to their cluster heads, neighbor cluster heads and their own nodes. Moreover, the multi-hop routing protocol between cluster heads was used to send the fused lightweight data to the aggregation point. According to the total of mixed data, the aggregation point reduced the seeds of all nodes in wireless body area network and sent them to the base station directly. Finally, the base station obtained the result of data fusion. Thus, the lightweight data fusion was achieved. Simulation results show that the data transmission delay of the proposed algorithm is shorter and the data fusion result is more consistent with the actual result.
作者
蔡敏
牛斗
CAI Min;NIU Dou(Guangzhou College of Technology and Business,guangzhou Guangdong 510800,China;Northeast Electric Power University ,chuanying jilin 132012,China)
出处
《计算机仿真》
北大核心
2019年第8期258-261,共4页
Computer Simulation
基金
2017年广东高校省级重点平台和重大科研项目-青年创新人才类项目(自然科学)广东省教育厅(201801193066)
关键词
无线体域网
轻量级
数据融合
Wireless body area network
Lightweight
Data Fusion
