Achieving Ultra Energy-efficient and Collision-free Data Collection in Wake-up Radio Enabled mIoT

Chia An Hsu, Frank Y. Li, Chiuyuan Chen, Yu Chee Tseng

研究成果: Conference contribution同行評審

摘要

To achieve ultra-low energy consumption and decade-long battery lifetime for Internet of things (IoT) networks, wake-up radio (WuR) appears as an eminent solution. While keeping devices in deep sleep for most of the time, a WuR enabled IoT device can be woken up for data transmission at any time by a wake-up call (WuC). However, collisions happen among WuCs for transmitter-initiated data reporting and among data packets for receiver-initiated data collection. In this paper, we propose two novel hashing-based schemes in order to achieve collisionfree data transmissions for receiver-initiated data collection. We consider first a simple scenario in which all devices in a region of interest are covered by a data collector and propose a scheme which facilitates a scheduled time for data uploading of each device. Then we extend our scheme to cover a more realistic scenario where IoT devices are distributed across a larger region that cannot be covered by a single data collector. In this case, we propose a partitioning algorithm for data collection across multiple partitions. Both analysis and simulations are performed to demonstrate the effectiveness of the proposed schemes.

原文English
主出版物標題2020 IEEE International Conference on Communications, ICC 2020 - Proceedings
發行者Institute of Electrical and Electronics Engineers Inc.
ISBN(電子)9781728150895
DOIs
出版狀態Published - 六月 2020
事件2020 IEEE International Conference on Communications, ICC 2020 - Dublin, Ireland
持續時間: 7 六月 202011 六月 2020

出版系列

名字IEEE International Conference on Communications
2020-June
ISSN(列印)1550-3607

Conference

Conference2020 IEEE International Conference on Communications, ICC 2020
國家Ireland
城市Dublin
期間7/06/2011/06/20

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