个人信息Personal Information
教授
博士生导师
硕士生导师
性别:女
毕业院校:日本九州大学
学位:博士
所在单位:控制科学与工程学院
办公地点:创新园大厦B601
联系方式:minhan@dlut.edu.cn
电子邮箱:minhan@dlut.edu.cn
An Emergent Backpressure Queueing Model for Internet of Things
点击次数:
论文类型:会议论文
发表时间:2017-01-01
收录刊物:CPCI-S
卷号:2018-January
页面范围:651-654
关键字:Emergency Internet of Things; backpressure scheduling; event-awareness; network throughput
摘要:The amount of IoT data is growing in recent years, as a result, the requirement of the throughput becomes crucial for IoT. The backpressure routing strategy can effectively serve this requirement. However, when urgent events or situations happen, The real-time performance of emergency packets cannot be guaranteed under backpressure queueing model. To address this problem, this paper proposes an event-aware backpressure queueing model for EIoT. We analyze the arrival process of different kinds of packets and design a back pressure queueing model with emergency packets. Comparing with traditional backpressure queueing model and LIFO based backpressure queueing model, our proposed method can significantly reduce the average end-to-end delay and increase the delivery ratio of emergency packets.