A 6LoWPAN OPNET simulation model for machine‐to‐machine communications-Reference-Cited by-同舟云学术

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A 6LoWPAN OPNET simulation model for machine‐to‐machine communications

Published:2020-09-08 Issue:11 Volume:31 Page:
ISSN:2161-3915
Container-title:Transactions on Emerging Telecommunications Technologies
language:en
Short-container-title:Trans Emerging Tel Tech

Author:

Chen Dong¹²^ORCID,Khan Jamil Y.²^ORCID,Brown Jason³^ORCID,Awais Javed Muhammad⁴^ORCID,Zhuang Yuan¹^ORCID

Affiliation:

1. The State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing Wuhan University Hubei China

2. School of Electrical Engineering and Computing The University of Newcastle NSW Australia

3. School of Mechanical and Electrical Engineering The University of Southern Queensland Springfield Queensland Australia

4. School of Electrical and Computer Engineering COMSATS University Islamabad Pakistan

Publisher

Wiley

Subject

Electrical and Electronic Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/ett.4120

Reference30 articles.

1. Machine Learning/AI for IoT, M2M, and Computer Communication

2. Medium access control techniques in M2M communication: survey and critical review

3. An overview of security and privacy in smart cities' IoT communications;Al‐Turjman F;Trans Emerg Telecommun Technol,2019

4. SymbioCity: Smart cities for smarter networks

5. Blocking analysis of persistent resource allocations for M2M applications in wireless systems

Cited by 3 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. Survey on the authentication and key agreement of 6LoWPAN: Open issues and future direction;Journal of Network and Computer Applications;2024-01

2. Packet Header Compression: A Principle-Based Survey of Standards and Recent Research Studies;IEEE Communications Surveys & Tutorials;2022

3. Coexistence and Interference Mitigation for WPANs and WLANs From Traditional Approaches to Deep Learning: A Review;IEEE Sensors Journal;2021-11-15

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