Modelling the impact of interference on the energy efficiency of WLANs-Reference-Cited by-同舟云学术

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Modelling the impact of interference on the energy efficiency of WLANs

Published:2019-03-25 Issue: Volume: Page:e5217
ISSN:1532-0626
Container-title:Concurrency and Computation: Practice and Experience
language:en
Short-container-title:Concurrency Computat Pract Exper

Author:

Xu Chuan¹^ORCID,Han Zhenzhen¹,Wang Qianyun¹,Zhao Guofeng¹,Yu Shui²

Affiliation:

1. School of Communication and Information EngineeringChongqing University of Posts and Telecommunications Chongqing China

2. School of Information TechnologyDeakin University Burwood Australia

Funder

National Natural Science Foundation of China

Chongqing Municipal Education Commission

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cpe.5217

Reference31 articles.

1. MC‐VAP: a multi‐connection virtual access point for high performance software‐defined wireless networks;Xu C;J Netw Comput Appl,2018

2. RiggioR SengulC GomezKM RasheedT.Energino: energy saving tips for your wireless network. In: Proceedings of the ACM SIGCOMM 2012 Conference on Applications Technologies Architectures and Protocols for Computer Communication (SIGCOMM);2012;Helsinki Finland.

3. LorinczJ CaponeA BogarelliM.Energy savings in wireless access networks through optimized network management. Paper presented at: IEEE 5th International Symposium on Wireless Pervasive Computing;2010;Modena Italy.

4. AkellaA JuddG SeshanS SteenkisteP.Self‐management in chaotic wireless deployments. Paper presented at: International Conference on Mobile Computing and Networking (MobiCom);2005;Cologne Germany.

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Integrated Functional Safety and Security Diagnosis Mechanism of CPS Based on Blockchain;IEEE Access;2020

2. Joint Power Control and Channel Allocation for Interference Mitigation Based on Reinforcement Learning;IEEE Access;2019

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