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一种适用于动态自组织网络的自适应且频谱高效的多信道介质访问控制协议。

An Adaptive and Spectrally Efficient Multi-Channel Medium Access Control Protocol for Dynamic Ad Hoc Networks.

作者信息

Beg Abdurrahman, Mostafa Saud Mohammad, AbdulGhaffar AbdulAziz, Sheltami Tarek R, Mahmoud Ashraf

机构信息

Faculty of Information Technology, Monash University, Melbourne 3800, Australia.

Department of Computer Engineering, King Fahd University of Petroleum and Minerals, Dhahran 31261, Saudi Arabia.

出版信息

Sensors (Basel). 2022 Nov 10;22(22):8666. doi: 10.3390/s22228666.

DOI:10.3390/s22228666
PMID:36433263
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9697958/
Abstract

Medium access control (MAC) protocols in ad hoc networks have evolved from single-channel independent transmission mechanisms to multi-channel concurrent mechanisms to efficiently manage the demands placed on modern networks. The primary aim of this study is to compare the performance of popular multi-channel MAC (MMAC) protocols under saturated network traffic conditions and propose improvements to the protocols under these conditions. A novel, dynamically adaptive MMAC protocol was devised to take advantage of the performance capabilities of the evaluated protocols in changing wireless ad hoc network conditions. A simulation of the familiar MAC protocols was developed based on a validated simulation of the IEEE 802.11 standard. Further, the behaviors and performances of these protocols are compared against the proposed MMAC protocols with a varying number of ad hoc stations and concurrent wireless channels in terms of throughput, Jain's fairness index, and channel access delay. The results show that the proposed MMAC protocol, labeled E-SA-MMAC, outperforms the existing protocols in throughput by up to 11.9% under a constrained number of channels and in channel access delays by up to 18.3%. It can be asserted from these observations that the proposed approach provides performance benefits against its peers under saturated traffic conditions and other factors, such as the number of available wireless channels, and is suitable for dynamic ad hoc network deployments.

摘要

自组织网络中的介质访问控制(MAC)协议已从单通道独立传输机制演变为多通道并发机制,以有效管理现代网络所面临的需求。本研究的主要目的是比较流行的多通道MAC(MMAC)协议在饱和网络流量条件下的性能,并针对这些条件下的协议提出改进措施。设计了一种新颖的动态自适应MMAC协议,以利用评估协议在不断变化的无线自组织网络条件下的性能能力。基于经过验证的IEEE 802.11标准仿真,开发了对常见MAC协议的仿真。此外,根据吞吐量、 Jain公平性指数和信道访问延迟,将这些协议的行为和性能与具有不同数量自组织站点和并发无线信道的所提出的MMAC协议进行比较。结果表明,所提出的标记为E-SA-MMAC的MMAC协议在通道数量受限的情况下,吞吐量比现有协议高出11.9%,在信道访问延迟方面高出18.3%。从这些观察结果可以断言,所提出的方法在饱和流量条件和其他因素(如可用无线信道数量)下比同类方法具有性能优势,适用于动态自组织网络部署。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/091e/9697958/589e8a78bf56/sensors-22-08666-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/091e/9697958/a24b910a2626/sensors-22-08666-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/091e/9697958/b7160f337dc5/sensors-22-08666-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/091e/9697958/8ccb125743e0/sensors-22-08666-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/091e/9697958/8441ab8194df/sensors-22-08666-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/091e/9697958/bfd1fef65e17/sensors-22-08666-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/091e/9697958/e95880da7de5/sensors-22-08666-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/091e/9697958/93df8ebabb08/sensors-22-08666-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/091e/9697958/cf43faa90bf7/sensors-22-08666-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/091e/9697958/d284d9c5e8bc/sensors-22-08666-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/091e/9697958/8a825a72e41c/sensors-22-08666-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/091e/9697958/589e8a78bf56/sensors-22-08666-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/091e/9697958/a24b910a2626/sensors-22-08666-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/091e/9697958/b7160f337dc5/sensors-22-08666-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/091e/9697958/8ccb125743e0/sensors-22-08666-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/091e/9697958/8441ab8194df/sensors-22-08666-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/091e/9697958/bfd1fef65e17/sensors-22-08666-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/091e/9697958/e95880da7de5/sensors-22-08666-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/091e/9697958/93df8ebabb08/sensors-22-08666-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/091e/9697958/cf43faa90bf7/sensors-22-08666-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/091e/9697958/d284d9c5e8bc/sensors-22-08666-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/091e/9697958/8a825a72e41c/sensors-22-08666-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/091e/9697958/589e8a78bf56/sensors-22-08666-g011.jpg

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