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Managing Smart Technologies with Software-Defined Networks for Routing and Security Challenges: A Survey

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Computer Systems Science & Engineering 2023年第11期47卷 1839-1879页

作者： babangida isyaku Kamalrulnizam Bin Abu Bakar Department of Computer Science Faculty of ComputingUniversiti Teknologi MalaysiaJohor BahruJohor81310Malaysia Department of Computer Science Faculty of Computing and Information TechnologySule Lamido UniversityP.M.B.048Jigawa StateNigeria

Smart environments offer various services,including smart cities,ehealthcare,transportation,and wearable devices,generating multiple traffic flows with different Quality of Service(QoS)*** the desired QoS with security in this heterogeneous environment can be challenging due to traffic flows and device management,unoptimized routing with resource awareness,and security *** Defined Networks(SDN)can help manage these devices through centralized SDN controllers and address these *** schemes have been proposed to integrate SDN with emerging technologies for better resource utilization and *** Defined Wireless Body Area Networks(SDWBAN)and Software Defined Internet of Things(SDIoT)are the recently introduced frameworks to overcome these *** study surveys the existing SDWBAN and SDIoT routing and security *** paper discusses each solution in detail and analyses its *** covers SDWBAN frameworks for efficient management of WBAN networks,management of IoT devices,and proposed security mechanisms for IoT and data security in *** survey provides insights into the state-of-the-art in SDWBAN and SDIoT routing with resource awareness and security ***,this study highlights potential areas for future research.

关键词： SDN WBAN IoT routing security

Optimized Identification with Severity Factors of Gastric Cancer for Internet of Medical Things

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Computers, Materials & Continua 2023年第4期75卷 785-798页

作者： Kamalrulnizam Bin Abu Bakar Fatima Tul Zuhra babangida isyaku Fuad A.Ghaleb Faculty of Computing Universiti Teknologi MalaysiaJohor Bahru81310Malaysia Faculty of Science and Technology Shaheed Benazir Bhutto University Sanghar CampusPakistan Faculty of Computing and Information Technology Sule Lamido UniversityKafin HausaP.M.B.048Nigeria

The Internet of Medical Things (IoMT) emerges with the visionof the Wireless Body Sensor Network (WBSN) to improve the health monitoringsystems and has an enormous impact on the healthcare system forrecognizing the levels of risk/severity factors (premature diagnosis, treatment,and supervision of chronic disease i.e., cancer) via wearable/electronic healthsensor i.e., wireless endoscopic capsule. However, AI-assisted endoscopy playsa very significant role in the detection of gastric cancer. Convolutional NeuralNetwork (CNN) has been widely used to diagnose gastric cancer based onvarious feature extraction models, consequently, limiting the identificationand categorization performance in terms of cancerous stages and gradesassociated with each type of gastric cancer. This paper proposed an optimizedAI-based approach to diagnose and assess the risk factor of gastric cancerbased on its type, stage, and grade in the endoscopic images for smarthealthcare applications. The proposed method is categorized into five phasessuch as image pre-processing, Four-Dimensional (4D) image conversion,image segmentation, K-Nearest Neighbour (K-NN) classification, and multigradingand staging of image intensities. Moreover, the performance of theproposed method has experimented on two different datasets consisting ofcolor and black and white endoscopic images. The simulation results verifiedthat the proposed approach is capable of perceiving gastric cancer with 88.09%sensitivity, 95.77% specificity, and 96.55% overall accuracy respectively.

关键词： Artificial intelligence internet of things internet of medical things wireless body sensor network wireless endoscopic capsule gastric cancer

Elevating Localization Accuracy in Wireless Sensor Networks:A Refined DV-Hop Approach

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Computers, Materials & Continua 2024年第10期81卷 1511-1528页

作者： Muhammad Aamer Ejaz Kamalrulnizam Abu Bakar Ismail Fauzi Bin Isnin babangida isyaku Taiseer Abdalla Elfadil Eisa Abdelzahir Abdelmaboud Asma Abbas Hassan Elnour Department of Computer Science Faculty of ComputingUniversiti Technologi MalaysiaJohor Bahru81310Malaysia Department of Computer Science Faculty of Computing and Information TechnologySule Lamido UniversityP.M.B.048Kafin Hausa741103Nigeria Department of Information Systems-Girls Section King Khalid UniversityMahayil62529Saudi Arabia Humanities Research Center Sultan Qaboos UniversityMuscat123Oman

Localization is crucial in wireless sensor networks for various applications,such as tracking objects in outdoor environments where GPS(Global Positioning System)or prior installed infrastructure is ***,traditional techniques involve many anchor nodes,increasing costs and reducing *** solutions do not address the selection of appropriate anchor nodes and selecting localized nodes as assistant anchor nodes for the localization process,which is a critical element in the localization ***,an inaccurate average hop distance significantly affects localization *** propose an improved DV-Hop algorithm based on anchor sets(AS-IDV-Hop)to improve the localization *** simulation analysis,we validated that the ASIDV-Hop proposed algorithm is more efficient in minimizing localization errors than existing *** ASIDV-Hop algorithm provides an efficient and cost-effective solution for localization in Wireless Sensor *** strategically selecting anchor and assistant anchor nodes and rectifying the average hop distance,AS-IDV-Hop demonstrated superior performance,achieving a mean accuracy of approximately 1.59,which represents about 25.44%,38.28%,and 73.00%improvement over other algorithms,*** estimated localization error is approximately 0.345,highlighting AS-IDV-Hop’s *** substantial reduction in localization error underscores the advantages of implementing AS-IDV-Hop,particularly in complex scenarios requiring precise node localization.

关键词： Localization anchor nodes collinearity connectivity hop based

Reliable Failure Restoration with Bayesian Congestion Aware for Software Defined Networks

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Computer Systems Science & Engineering 2023年第9期46卷 3729-3748页

作者： babangida isyaku Kamalrulnizam Bin Abu Bakar Wamda Nagmeldin Abdelzahir Abdelmaboud Faisal Saeed Fuad A.Ghaleb Faculty of Computing Universiti Teknologi MalaysiaJohor Bahru81310Malaysia Faculty of Computing and Information Technology Sule Lamido UniversityKafin HausaP.M.B.048Nigeria College of Computer Engineering and Sciences PrinceSattam bin Abdulaziz UniversityAl-Kharj11942Saudi Arabia Department of Information Systems King Khalid UniversityMuhayel Aseer61913Saudi Arabia Taibah University P.O.Box 344Medina41411Saudi Arabia School of Computing and Digital Technology Birmingham City UniversityBirminghamB47XGUK

SoftwareDefined Networks(SDN)introduced better network management by decoupling control and data ***,communication reliability is the desired property in computer *** frequency of communication link failure degrades network performance,and service disruptions are likely to *** network applications,such as delaysensitive applications,suffer packet loss with higher Round Trip Time(RTT).Several failure recovery schemes have been proposed to address link failure recovery issues in ***,these schemes have various weaknesses,which may not always guarantee service *** paths differ in their roles;some paths are critical because of the higher frequency *** paths frequently share links between primary and *** the affected flows after failure occurrences without investigating the path roles can lead to post-recovery congestion with packet loss and system ***,there is a lack of studies to incorporate path criticality and residual path capacity to reroute the affected flows in case of link *** paper proposed Reliable Failure Restoration with Congestion Aware for SDN to select the reliable backup path that decreases packet loss and RTT,increasing network throughput while minimizing post-recovery *** affected flows are redirected through a path with minimal risk of failure,while Bayesian probability is used to predict post-recovery *** the former and latter path with a minimal score is *** simulation results improved throughput by(45%),reduced packet losses(87%),and lowered RTT(89%)compared to benchmarking works.

关键词： SDN OpenFlow failure restoration critical path Bayesian probability