An Enhanced Interface Selectivity Technique to Improve the QoS for the Multi-homed Node

Oleiwi, Haider W.; Saeed, Nagham; Al-Taie, Heba L.; nteesha, doaa

doi:10.30684/etj.2022.133066.1165

Cited by 9 publications

(7 citation statements)

References 19 publications

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“…Oleiwi and Al-Raweshidy studied in their recent work [28] the contribution of EH and other key enabling technologies to enhance system performance, considering a relatively similar concept with a simplified system of single-input single-output (SISO) scheme equipment. However, our previous papers [29,30] investigated the impact of the multihoming principle on improving system reliability, operational efficiency, and the overall performance. The value of multihoming management was addressed to keep communication going for the multihomed user, in addition to presenting an interface selectivity technique.…”

Section: Related Workmentioning

confidence: 99%

Cooperative SWIPT MIMO-NOMA for Reliable THz 6G Communications

Oleiwi

Saeed

Al-Raweshidy

2022

Network

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In this paper, cooperative simultaneous wireless information and power transfer (SWIPT) terahertz (THz) multiple-input multiple-output (MIMO) nonorthogonal multiple access (NOMA) are considered. The aim is to improve wireless connectivity, resource management, scalability, and user fairness, as well as to enhance the overall performance of wireless communications and reliability. We optimized the current wireless communication systems by utilizing MIMO-NOMA technology and THz frequencies, exploring the performance and gains obtained. Hence, we developed a path-selection mechanism for the far user to enhance the system performance. The EH SWIPT approach used to improve THz communications performance was investigated. Moreover, we proposed a reliable transmission mechanism with a non-LoS (NLoS) line of THz communications for open areas or any location where the intelligent reflecting surface (IRS) cannot be deployed, in addition to using the cheap decode-forward (DF) relaying instead of IRS. The performance and scalability of the upgradeable system were examined, using adjustable parameters and the simplest modulation scheme. The system presents a noticeable improvement in energy efficiency (EE) and spectral efficiency (SE), in addition to reliability. Accordingly, the outcome showed an improvement in the overall reliability, SE, EE, and outage probability as compared to the conventional cooperative networks of the recent related work (e.g., cooperative MIMO-NOMA with THz) by multiple times with a simpler design, whereas it outperformed our previous work, i.e., cooperative SWIPT SISO-NOMA with THz, by more than 50%, with a doubled individual user gain. This system reduces the transceiver hardware and improves reliability with increasing transmission rates.

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Section: Related Workmentioning

confidence: 99%

Cooperative SWIPT MIMO-NOMA for Reliable THz 6G Communications

Oleiwi

Saeed

Al-Raweshidy

2022

Network

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“…The simulations were carried out using a network simulator (NS2) [35][36][37]. As mentioned previously, simulation time was 4 s for examining the throughput of all of the policies, whereas a longer time of 35 s was set for the throughput examination of the best three policies to achieve the best accuracy.…”

Section: Setupmentioning

confidence: 99%

Evaluation of Differentiated Services Policies in Multihomed Networks Based on an Interface-Selection Mechanism

et al. 2022

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Quality of service metrics and differentiated service mechanism policies are the most important criteria to deliver essential Internet requirements, especially during user handover, due to the rapid growth of users, multimedia applications, and traffic. DiffServ routers provide per-hop behaviors to manage traffic for services, whereas their policies have been applied to several types of Internet traffic, such as hypertext transfer protocol, file transfer protocol, and content-based routing. Multihoming aims to improve the reliability, scalability, and performance of data communications networks. This paper evaluated DiffServ various policies compared in a systematic manner (in two stages) over the multihomed networks to utilize and adopt the best policy for communicating packets, and enhanced the overall performance in terms of throughput, end-to-end latency, and processing time. Moreover, the paper introduced an interface-selection technique for multihomed nodes to select a proper interface, which provides the best services and links the behaviors that this interface yields. The overall results showed how the introduced multihoming-based interface-selection mechanism managed to maintain communication with the multihomed node. Furthermore, our results showed that the DiffServ time-sliding window with a three-color marking policy achieved the best system performance compared with the remaining policies.

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“…IDSs use two methods to detect intrusions (i.e., misuse and anomaly). A new IDS that includes these two methods was presented to overcome these limitations to increase accuracy and decrease FAR [11,[19][20][21][22][23][24][25]. Furthermore; feature selection (FS) is a useful approach for IDSs to specify the significant features and cancel the useless features with less performance degradation [26][27][28].…”

Section: Introductionmentioning

confidence: 99%

A Meta-Model to Predict and Detect Malicious Activities in 6G-Structured Wireless Communication Networks

2023

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The rapid leap in wireless communication systems incorporated a plethora of new features and challenges that accompany the era of 6G and beyond being investigated and developed. Recently, machine learning techniques were widely deployed in many fields, especially wireless communications. It was used to improve network traffic performance regarding resource management, frequency spectrum optimization, latency, and security. The studies of modern wireless communications and anticipated features of ultra-densified ubiquitous wireless networks exposed a risky vulnerability and showed a necessity for developing a trustworthy intrusion detection system (IDS) with certain efficiency/standards that have not yet been achieved by current systems. IDSs lack acceptable immunity against repetitive, updatable, and intelligent attacks on wireless communication networks, significantly concerning the modern infrastructure of 6G communications, resulting in low accuracies/detection rates and high false-alarm/false-negative rates. For this objective principle, IDS system complexity was reduced by applying a unique meta-machine learning model for anomaly detection networks was developed in this paper. The five main stages of the proposed meta-model are as follows: the accumulated datasets (NSL KDD, UNSW NB15, CIC IDS17, and SCE CIC IDS18) comprise the initial stage. The second stage is preprocessing and feature selection, where preprocessing involves replacing missing values and eliminating duplicate values, leading to dimensionality minimization. The best-affected subset feature from datasets is selected using feature selection (i.e., Chi-Square). The third step is represented by the meta-model. In the training dataset, many classifiers are utilized (i.e., random forest, AdaBoosting, GradientBoost, XGBoost, CATBoost, and LightGBM). All the classifiers undergo the meta-model classifier (i.e., decision tree as the voting technique classifier) to select the best-predicted result. Finally, the classification and evaluation stage involves the experimental results of testing the meta-model on different datasets using binary-class and multi-class forms for classification. The results proved the proposed work’s high efficiency and outperformance compared to existing IDSs.

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An Enhanced Interface Selectivity Technique to Improve the QoS for the Multi-homed Node

Cited by 9 publications

References 19 publications

Cooperative SWIPT MIMO-NOMA for Reliable THz 6G Communications

Cooperative SWIPT MIMO-NOMA for Reliable THz 6G Communications

Evaluation of Differentiated Services Policies in Multihomed Networks Based on an Interface-Selection Mechanism

A Meta-Model to Predict and Detect Malicious Activities in 6G-Structured Wireless Communication Networks

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