A Resource-Efficient Green Paradigm For Crowdsensing Based Spectrum Detection In Internet of Things Networks-Reference-Cited by-同舟云学术

A Resource-Efficient Green Paradigm For Crowdsensing Based Spectrum Detection In Internet of Things Networks

Published:2023-03-01 Issue:3 Volume:E106.B Page:275-286
ISSN:0916-8516
Container-title:IEICE Transactions on Communications
language:en
Short-container-title:IEICE Trans. Commun.

Author:

LI Xiaohui¹,ZHU Qi²,XIA Wenchao²,CHEN Yunpei²

Affiliation:

1. Digital Audio and Video Research Centre, College of Information and Computer, Taiyuan University of Technology

2. Key Wireless Laboratory of Jiangsu Province, College of Telecommunications and Information Engineering, Nanjing University of Posts and Telecommunications

Publisher

Institute of Electronics, Information and Communications Engineers (IEICE)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Software

Link

https://www.jstage.jst.go.jp/article/transcom/E106.B/3/E106.B_2022EBP3025/_pdf

Reference36 articles.

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3. [3] J. Qiu, D. Grace, G. Ding, M.D. Zakaria, and Q. Wu, “Air-ground heterogeneous networks for 5G and beyond via integrating high and low altitude platforms,” IEEE Wirel. Commun., vol.26, no.6, pp.140-148, 2019. 10.1109/mwc.0001.1800575

4. [4] Z. Zhang, Y. Xiao, Z. Ma, M. Xiao, Z. Ding, X. Lei, G.K. Karagiannidis, and P. Fan, “6G wireless networks: Vision, requirements, architecture, and key technologies,” IEEE Veh. Technol. Mag., vol.14, no.3, pp.28-41, 2019. 10.1109/mvt.2019.2921208

5. [5] H. Ma, D. Zhao, and P. Yuan, “Opportunities in mobile crowd sensing,” IEEE Commun. Mag., vol.52, no.8, pp.29-35, 2014. 10.1109/mcom.2014.6871666

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