An Improved Dynamic Thermal Current Rating Model for PMU-Based Wide Area Measurement Framework for Reliability Analysis Utilizing Sensor Cloud System

Hasan, Mohammad Kamrul; Musse, Mohamud Ahmed; Musa, Sherfriz Sherry; Islam, Shayla; Abdullah, Siti Norul Huda Sheikh; Hossain, Eklas; Nafi, Nazmus Shaker; Vo, Nguyen Qui Tu

doi:10.1109/access.2021.3052368

Cited by 68 publications

(17 citation statements)

References 39 publications

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“…The authors mention that it is fair to build a new model that uses multiple queries or tail queries, taking in the position, local time, user agent, etc. (35)(36)(37)(38)(39)(40).…”

Section: Literature Reviewmentioning

confidence: 99%

Fischer Linear Discrimination and Quadratic Discrimination Analysis–Based Data Mining Technique for Internet of Things Framework for Healthcare

Hasan

Ghazal

Alkhalifah

et al. 2021

Front. Public Health

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The internet of reality or augmented reality has been considered a breakthrough and an outstanding critical mutation with an emphasis on data mining leading to dismantling of some of its assumptions among several of its stakeholders. In this work, we study the pillars of these technologies connected to web usage as the Internet of things (IoT) system's healthcare infrastructure. We used several data mining techniques to evaluate the online advertisement data set, which can be categorized as high dimensional with 1,553 attributes, and the imbalanced data set, which automatically simulates an IoT discrimination problem. The proposed methodology applies Fischer linear discrimination analysis (FLDA) and quadratic discrimination analysis (QDA) within random projection (RP) filters to compare our runtime and accuracy with support vector machine (SVM), K-nearest neighbor (KNN), and Multilayer perceptron (MLP) in IoT-based systems. Finally, the impact on number of projections was practically experimented, and the sensitivity of both FLDA and QDA with regard to precision and runtime was found to be challenging. The modeling results show not only improved accuracy, but also runtime improvements. When compared with SVM, KNN, and MLP in QDA and FLDA, runtime shortens by 20 times in our chosen data set simulated for a healthcare framework. The RP filtering in the preprocessing stage of the attribute selection, fulfilling the model's runtime, is a standpoint in the IoT industry.Index Terms: Data Mining, Random Projection, Fischer Linear Discriminant Analysis, Online Advertisement Dataset, Quadratic Discriminant Analysis, Feature Selection, Internet of Things.

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“…The authors mention that it is fair to build a new model that uses multiple queries or tail queries, taking in the position, local time, user agent, etc. (35)(36)(37)(38)(39)(40).…”

Section: Literature Reviewmentioning

confidence: 99%

Fischer Linear Discrimination and Quadratic Discrimination Analysis–Based Data Mining Technique for Internet of Things Framework for Healthcare

Hasan

Ghazal

Alkhalifah

et al. 2021

Front. Public Health

Self Cite

View full text Add to dashboard Cite

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“…To generate a greater number of creations, the genetic actions of mutation, crossover and selection are performed. The function called fk is used to assess the creation of chromosomes in Euclidean distance among chromosomes and every component of input variable [67][68][69][70][71][72][73][74][75][76][77].…”

Section: Experimental and Evaluationmentioning

confidence: 99%

Energy-Efficient Fuzzy Management System for Internet of Things Connected Vehicular Ad Hoc Networks

et al. 2021

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Many algorithms use clustering to improve vehicular ad hoc network performance. The expected points of many of these approaches support multiple rounds of data to the roadside unit and constantly include clustering in every round of single-hop data transmission towards the road side unit; however, the clustering in every round maximizes the number of control messages and there could be the possibility of collision and decreases in network energy. Multi-hop transmission prolongs the cluster head node’s lifetime and boosts the network’s efficiency. Accordingly, this article proposes a new fuzzy-clustering-based routing algorithm to benefit from multi-hop transmission clustering simultaneously. This research has analyzed the limitation of clustering in each round, different algorithms were used to perform the clustering, and multi-hop routing was used to transfer the data of every cluster to the road side unit. The fuzzy logic was used to choose the head node of each cluster. Three parameters, (1) distance of each node, (2) remaining energy, and (3) number of neighbors of every node, were considered as fuzzy criteria. The results of this research were compared to various other algorithms in relation to parameters like dead node in every round, first node expire, half node expire, last node expire, and the network lifetime. The simulation results show that the proposed approach outperforms other methods. On the other hand, the vehicular ad hoc network (VANET) environment is vulnerable at the time of data transmission. The NS-2 software tool was used to simulate and evaluate the proposed fuzzy logic opportunistic routing’s performance results concerning end-to-end delay, packet delivery, and network throughput. We compare to the existing protocols, such as fuzzy Internet of Things (IoT), two fuzzy, and Fuzzy-Based Driver Monitoring System (FDMS). The performance comparison also emphasizes an effective utilization of the resources. Simulations on the highway environment show that the suggested protocol has an improved Quality of Service (QoS) efficiency compared to the above published methods in the literature.

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“…The significant advancement has been accomplished for the communication infrastructure with the special technologies that include artificial intelligence, Internet of Things (IoT), 4G, and 5G data access [15][16][17][18][19][20][21][22][23][24][25][26][27][28][29]. This advancement enriched the communication infrastructure for smart grid protection, measurement, and control system in a sophisticated manner.…”

Section: Recent Issues and Challenges Of Communication Systems In Smart Gridmentioning

confidence: 99%

“…The issues and the challenges of SCADA and PMU based WAM system for substation automation are discussed below. 3 Wireless Communications and Mobile Computing associations to access substation devices, reduce maintenance cost, and support the execution of additional substation mechanization applications [25][26][27][28][29]. The coordination of sequential protocol substation devices onto an Ethernet structure is a significant test.…”

Section: Recent Issues and Challenges Of Communication Systems In Smart Gridmentioning

confidence: 99%

Communication Delay Modeling for Wide Area Measurement System in Smart Grid Internet of Things Networks

Hasan

Islam

Shafiq

et al. 2021

Wireless Communications and Mobile Computing

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We present communication frameworks, models, and protocols of smart grid Internet of Things (IoT) networks based on the IEEE and IEC standards. The measurement, control, and monitoring of grid being achieved through phasor measurement unit (PMU) based wide area measurement (WAM) framework. The WAM framework applied the IEEE standard C37.118 phasor exchange protocol to collect grid data from various substation devices. The existing frameworks include the IEC 61850 protocol and programmable logic controllers (PLCs) based supervisory control and data acquisition (SCADA) system. These protocols have been selected as per the smart grid configuration and communication design. However, the existing frameworks have severe synchronization errors due to the communication delays of IoT networks in the smart grid. Therefore, this article designs the timing mechanism and a delay model to reduce the timing delay and boost real-time measurement, monitoring, and control performance of the smart grid WAM applications. The result shows that the proposed model outperformed the existing WAM system.

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An Improved Dynamic Thermal Current Rating Model for PMU-Based Wide Area Measurement Framework for Reliability Analysis Utilizing Sensor Cloud System

Cited by 68 publications

References 39 publications

Fischer Linear Discrimination and Quadratic Discrimination Analysis–Based Data Mining Technique for Internet of Things Framework for Healthcare

Fischer Linear Discrimination and Quadratic Discrimination Analysis–Based Data Mining Technique for Internet of Things Framework for Healthcare

Energy-Efficient Fuzzy Management System for Internet of Things Connected Vehicular Ad Hoc Networks

Communication Delay Modeling for Wide Area Measurement System in Smart Grid Internet of Things Networks

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