location: Current position: Home >> Scientific Research >> Paper Publications

An Emergent Backpressure Queueing Model for Internet of Things

Hits:

Indexed by:会议论文

Date of Publication:2017-01-01

Included Journals:CPCI-S

Volume:2018-January

Page Number:651-654

Key Words:Emergency Internet of Things; backpressure scheduling; event-awareness; network throughput

Abstract: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.

Pre One:Event-triggered Course-tracking Control of Marine Surface Vessels

Next One:Multivariate Chaotic Time Series Prediction Based on Improved Extreme Learning Machine