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Power Allocation in NOMA-CR for 5G Enabled IoT Networks

Computers, Materials & Continua 2022年第9期72卷 5515-5530页

作者： mohammed basheri Mohammad Haseeb Zafar Imran Khan Department of Information Technology King Abdulaziz UniversityJeddah21589Saudi Arabia Cardiff School of Technologies Cardiff Metropolitan UniversityCardiffCF52YBUK Department of Electrical Engineering University of Engineering&TechnologyPeshawar25120Pakistan

In the power domain,non-orthogonal multiple access(NOMA)supports multiple users on the same time-frequency resources,assigns different transmission powers to different users,and differentiates users by user channel ***-user signals are superimposed and transmitted in the power domain at the transmitting end by actively implementing controllable interference information,and multi-user detection algorithms,such as successive interference cancellation(SIC)is performed at the receiving end to demodulate the necessary user *** contrast to the orthogonal transmission method,the non-orthogonal method can achieve higher spectrum ***,it will increase the receiver *** the development of microelectronics technology,chip processing capabilities continue to increase,laying the foundation for the practical application of non-orthogonal transmission *** NOMA,different users are differentiated by different power ***,the power allocation has a considerable impact on the NOMA system *** address this issue,the idea of splitting power into two portions,intra-subbands and intersubbands,is proposed in this study as a useful ***,such optimization problems are solved using proportional fair scheduling and water-filling ***,the error propagation was modeled and analyzed for the residual *** proposed technique effectively increased the system throughput and performance under various operating settings according to simulation findings.A comparison is performed with existing algorithms for performance evaluation.

关键词： NOMA wireless networks power domain 5G networks

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Adaptive Expanding Ring Search Based Per Hop Behavior Rendition of Routing in MANETs

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Computers, Materials & Continua 2021年第4期67卷 1137-1152页

作者： Durr-e-Nayab Mohammad Haseeb Zafar mohammed basheri Faculty of Electrical and Computer Engineering University of Engineering and TechnologyPeshawar25120Pakistan Faculty of Computing and Information Technology King Abdulaziz UniversityJeddah21589Saudi Arabia

Routing protocols in Mobile Ad Hoc Networks(MANETs)operate with Expanding Ring Search(ERS)mechanism to avoid ooding in the network while tracing *** mechanism searches the network with discerning Time to Live(TTL)values described by respective routing protocol that save both energy and *** work exploits the relation between the TTL value of a packet,trafc on a node and ERS mechanism for routing in MANETs and achieves an Adaptive ERS based Per Hop Behavior(AERSPHB)rendition of requests *** search request is classied based on ERS attributes and then processed for routing while monitoring the node *** algorithms are designed and examined for performance under exhaustive parametric setup and employed on adaptive premises to enhance the performance of the *** network is tested under congestion scenario that is based on buffer utilization at node level and link utilization via back-off stage of Carrier Sense Multiple Access with Collision Avoidance(CSMA/CA).Both the link and node level congestion is handled through retransmission and rerouting the packets based on ERS *** aim is to drop the packets that are exhausting the network energy whereas forward the packets nearer to the destination with *** simulations are carried out for network scalability,node speed and network terrain *** results show that the proposed models attain evident performance enhancement.

关键词： Expanding ring search mobile ad hoc networks multi hop wireless networks on-demand ad hoc networks per hop behavior quality of servi

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Quantum Cat Swarm Optimization Based Clustering with Intrusion Detection Technique for Future Internet of Things Environment

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Computer Systems Science & Engineering 2023年第9期46卷 3783-3798页

作者： mohammed basheri Mahmoud Ragab Information Technology Department Faculty of Computing and Information TechnologyKing Abdulaziz UniversityJeddah 21589Saudi Arabia

The Internet of Things(IoT)is one of the emergent technologies with advanced developments in several applications like creating smart environments,enabling Industry 4.0,*** IoT devices operate via an inbuilt and limited power supply,the effective utilization of available energy plays a vital role in designing the IoT *** the same time,the communication of IoT devices in wireless mediums poses security as a challenging ***,intrusion detection systems(IDS)have paved the way to detect the presence of intrusions in the IoT *** this motivation,this article introduces a novel QuantumCat SwarmOptimization based Clustering with Intrusion Detection Technique(QCSOBC-IDT)for IoT *** QCSOBC-IDT model aims to achieve energy efficiency by clustering the nodes and security by intrusion ***,the QCSOBC-IDT model presents a new QCSO algorithm for effectively choosing cluster heads(CHs)and organizing a set of clusters in the IoT ***,the QCSO algorithm computes a fitness function involving four parameters,namely energy efficiency,inter-cluster distance,intra-cluster distance,and node density.A harmony search algorithm(HSA)with a cascaded recurrent neural network(CRNN)model can be used for an effective intrusion detection *** design of HSA assists in the optimal selection of hyperparameters related to the CRNN model.A detailed experimental analysis of the QCSOBC-IDT model ensured its promising efficiency compared to existing models.

关键词： Internet of things energy efficiency clustering intrusion detection deep learning security

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