摘要
利用能量收集技术,有望解决无线传感网络( Wireless Sensor Networks,WSNs)的能量受限问题。为此,提出能量采集感知路由( Energy-Harvesting-Aware Routing Algorithm,EHARA)。EHARA路由先引用自适应滤波器对能量进行预测。再通过节点当前能量信息和能量采集率调整节点能量采集时间,进而获取最优的能量采集时间,并结合能量预测策略定义链路成本变量。然后,再利用链路成本变量建立路由,进而选择传输数据包的最佳转发路由。仿真结果表明,提出的EHARA路由比随机性最小路径恢复时间(Randomized Minimum Path Recovery Time,R-MPRT)路由,提高了能量效率和吞吐量,并降低了数据包丢失率。
Energy harvesting ( EH) is considered to be the key enabling technology for the mass deployment of wireless sensor networks ( WSNs).Therefore,an Energy-Harvesting-Aware Routing Algorithm ( EHARA) is proposed in this paper.EHARA used adaptive filter to predict the energy.And EHARA adjust the time of Energy-Harvesting by the residual energy and ratio of Energy-Harvesting.Based on a combination the energy prediction process,we deine the cost metric which can be used to build the routing table and to select the best routes for packet forwarding.Simulation results show that our algorithm outperforms the existing Randomized Minimum Path Recovery Time ( R-MPRT) algorithm in terms of network lifetime by about 50%.
作者
赵梦龙
许会香
ZHAO Meng-long;XU Hui-xiang(College of Information Engineering,Guizhou Vocational and Technical College,Guizhou Guiyang 550003,China;College of Information Engineering,Zhengzhou institute of technology,HeNan Zhengzhou 450044,China)
出处
《中国电子科学研究院学报》
北大核心
2019年第6期646-651,共6页
Journal of China Academy of Electronics and Information Technology
基金
河南省科技攻关项目(172102210606)
河南省高等学校重点科研项目(17B520040)
关键词
无线传感网络
路由
自适应滤波
能量采集预测
成本度量
Wireless Sensor Networks
Routing
Adaptive Filter
Energy Harvesting prediction
Cost Metric
