An Improved SMART Algorithm for Wireless Body Area Network

doi:10.19678/j.issn.1000-3428.0052762

Abstract

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

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

CLC Number:

TN393

YIN Qingshan. An Improved SMART Algorithm for Wireless Body Area Network[J]. Computer Engineering, 2019, 45(11): 121-125.

尹青山. 一种面向无线体域网的改进SMART算法[J]. 计算机工程, 2019, 45(11): 121-125.

/ / Recommend / Download Citations

URL: http://www.ecice06.com/EN/10.19678/j.issn.1000-3428.0052762

http://www.ecice06.com/EN/Y2019/V45/I11/121

Figures/Tables 5

References

[1] AHMED S,SAQIB M,ADIL M,et al.Integration of cloud computing with Internet of things and wireless body area network for effective healthcare[C]//Proceedings of International Symposium on Wireless Systems and Networks.Washington D.C.,USA:IEEE Press,2018:1-6.
[2] 彭艺,张耸.一种面向无线体域网的功率优化路由算法[J].电子科技,2018,31(7):34-37.
[3] 张顺,范鸿丽,仲红,等.无线体域网中高效可撤销的无证书远程匿名认证协议[J].通信学报,2018,39(4):100-111.
[4] SAMANTA A,MISRA S.Energy-efficient and distributed network management cost minimization in opportunistic wireless body area networks[J].IEEE Transactions on Mobile Computing,2018,17(2):376-389.
[5] 杨静,甘露.基于功率控制的无线体域网能量有效传输算法[J].传感技术学报,2018,31(2):247-252.
[6] 蒋文贤,张振兴.支持向量机描述的无线传感网数据融合协议[J].华中科技大学学报(自然科学版),2018,46(8):99-103.
[7] 苘大鹏,王臣业,杨武,等.低能耗的无线传感器网络隐私数据融合方法[J].清华大学学报(自然科学版),2017,57(2):213-219.
[8] ESCHENAUER L,GLIGOR V.A key-management scheme for distributed sensor networks[C]//Proceedings of Conference on Computer and Communications Security.Washington D.C.,USA:[s.n.],2002:41-47.
[9] RUJ S,NAYAK A,STOJMENOVIC I.Fully secure pairwise and triple key distribution in wireless sensor networks using combinatorial designs[C]//Proceedings of International Conference on Computer Communications.Washington D.C.,USA:IEEE Press,2011:326-330.
[10] HE Wenbo,LIU Xue,NGUYEN H,et al.PDA:privacy-preserving data aggregation in wireless sensor networks[C]//Proceedings of International Conference on Computer Communications.Washington D.C.,USA:IEEE Press,2007:2045-2053.
[11] CASTELLUCCIA C,CHAN C F,MYKLETUN E,et al.Efficient and provably secure aggregation of encrypted data in wireless sensor networks[J].ACM Transactions on Sensor Networks,2009,5(3):1-36.
[12] 邱立达,刘天键,林南,等.基于深度学习模型的无线传感器网络数据融合算法[J].传感技术学报,2014,27(12):1704-1709.
[13] 陈伟,于乐,高迪.一种支持完整性验证的隐私保护直方图融合算法[J].电子学报,2014,42(11):2268-2272.
[14] MADDEN S,FRANKLIN M J,HELLERSTEIN J M,et al.TAG:a tiny aggregation service for ad-hoc sensor networks[C]//Proceedings of Symposium on Operating Systems Design and Implementation.Boston,USA:[s.n.],2002:131-146.
[15] 薛锐,彭长根,黄欣沂,等.面向隐私保护的新型技术与密码算法专题前言[J].软件学报,2018,29(7):1827-1829.

Please choose a citation manager

Content to export