计算机技术与发展2017，Vol.27Issue(12)：39-42,4.DOI:10.3969/j.issn.1673-629X.2017.12.009
RFID和WSN融合网中的能耗优化
Energy Consumption Optimization in RFID and WSN Integrated Network
摘要
Abstract
In order to improve the survival time of the fusion network,an optimization method with combination of node rotation sleep strategy and clustering routing protocol is proposed. By analysis of the node rotation sleep algorithm,it is found that the difference set have existed between the dormant node set based on the backoff time sleep strategy and that based on sleep strategy with no backoff time, which is called blind sleep node. The blind sleep node in the node rotation strategy as an influence factor of the adjustment function affects the probablity of being selected as the cluster head according to the number of blind sleep nodes in the neighbor node. In the node rotation sleep strategy,the judgment condition of hibernation is optimized,which makes it more accurate and can reduce the redundancy of the col-lected information effectively. The algorithm based on node overlay strategy and clustering routing protocol and fusion algorithm based on node coverage strategy and routing protocol are simulated respectively in same environment. The results show that the latter is effectively lifting on lifetime of fushion network and its energy consumption balance coefficient is lowerd.关键词
节点轮换/分簇路由/生存时长/能耗均衡Key words
node rotation/cluster routing/lifetime/energy consumption balance分类
信息技术与安全科学引用本文复制引用
何涛,周凯,徐鹤,刘畅..RFID和WSN融合网中的能耗优化[J].计算机技术与发展,2017,27(12):39-42,4.基金项目
国家自然科学基金资助项目(61602261) （61602261）
江苏省自然科学基金(BK20140886) （BK20140886）
中国博士后科学基金(2014M561696) （2014M561696）
江苏省高校自然科学研究面上项目(14KJB520030) （14KJB520030）
江苏省博士后科研资助计划项目(1401005B) （1401005B）
江苏省研究生科研创新计划(SJLX150381) （SJLX150381）
南京邮电大学引进人才科研启动基金(NY213034) （NY213034）
南京邮电大学自然科学基金(NY214060,NY214061) （NY214060,NY214061）
