標題: Analytical Modeling and Design of Energy Efficient Class-Selection for Long Range Wide Area Networks
作者: Su, Wun-Ci
Wu, Tzu-I
Li, Pei-Rong
Feng, Kai-Ten
電信工程研究所
Institute of Communications Engineering
公開日期: 1-一月-2019
摘要: Long range wide area networks (LoRaWAN) is one of the novel specification for the applications of Internet-of-Things. Recent research focused on the propagation model and coverage discussion based on experimental measurement. In this paper, power-class analytical model is firstly proposed to model the operations of LoRaWAN end-devices for throughput and power consumption. Based on this model, the energy efficient class-selection algorithm (EECA) is proposed to achieve the optimal energy efficiency with the consideration of power consumption on end-devices by the suitable class selection scheme. A system level simulation has been conducted for performance evaluation. The simulation results provide the guideline for system parameters configuration and class selection on each end-devices under different scenarios.
URI: http://hdl.handle.net/11536/152945
ISBN: 978-1-7281-1217-6
ISSN: 1550-2252
期刊: 2019 IEEE 89TH VEHICULAR TECHNOLOGY CONFERENCE (VTC2019-SPRING)
起始頁: 0
結束頁: 0
顯示於類別:會議論文