现代电子技术2017，Vol.40Issue(17)：15-19,5.DOI:10.16652/j.issn.1004-373x.2017.17.004
基于稀疏表示的体域网节点休眠策略
Body area network node sleep strategy based on sparse representation
摘要
Abstract
Since the battery energy of wireless body area network(WBAN)node is limited,and its power supply is hard to replace,a node sleep strategy based on sparse representation classification(NSS-SRC)algorithm is proposed. While the human-body physiological signal collected by WBAN nodes stays in the normal range,the sparse representation theory is used to identi-fy the test sample signals. According to the identification results,the normal signals which needn′t to be sent are filtered out, and the state of WBAN node is converted into the sleep state. The node sleep time is prolonged to reduce the transmission quan-tity of node data. The node delay and energy consumption are simulated and analyzed with NS2 software. The results show that, in comparison with the traditional TDMA and BCMAC algorithms,the NSS-SRC strategy can reduce the energy consumption and time delay effectively while the physiological signal is in WBAN with stable range.关键词
WBAN/休眠策略/稀疏表示/节能Key words
WBAN/sleep strategy/sparse representation/energy saving分类
信息技术与安全科学引用本文复制引用
陈家顺,周岳斌,王涛..基于稀疏表示的体域网节点休眠策略[J].现代电子技术,2017,40(17):15-19,5.基金项目
湖北省自然科学基金项目(2015CFC802) （2015CFC802）
襄阳市研究与开发计划项目(襄科计[2014]12号) （襄科计[2014]12号）
汽车零部件制造装备数字化湖北省协同创新中心开放课题项目(hbuascic2014017) （hbuascic2014017）
"机电汽车"湖北省优势特色学科群开放课题项目(XKQ2016022) （XKQ2016022）
