Browsing by Author "Yalcin, Senay"

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Citation - WoS: 6
Citation - Scopus: 8
Design and Implementation of a Nano-Scale High-Speed Multiplier for Signal Processing Applications
(Elsevier, 2024) Ahmadpour, Seyed-Sajad; Kerestecioğlu, Feza; Jafari Navimipour, Nima; Ul Ain, Noor; Kerestecioglu, Feza; Yalcin, Senay; Avval, Danial Bakhshayeshi; Hosseinzadeh, Mehdi
Digital signal processing (DSP) is an engineering field involved with increasing the precision and dependability of digital communications and mathematical processes, including equalization, modulation, demodulation, compression, and decompression, which can be used to produce a signal of the highest caliber. To execute vital tasks in DSP, an essential electronic circuit such as a multiplier plays an important role, continually performing tasks such as the multiplication of two binary numbers. Multiplier is a crucial component utilized to implement a wide range of DSP tasks, including convolution, Fourier transform, discrete wavelet transforms (DWT), filtering and dithering, multimedia information processing, and more. A multiplier device includes a clock and reset buttons for more flexible operational control. Each digital signal processor constitutes a multiplier unit. A multiplier unit functions entirely autonomously from the central processing unit (CPU); consequently, the CPU is burdened with a significantly reduced amount of work. Since DSP algorithms must constantly carry out multiplication tasks, the employment of a high-speed multiplier to execute fast-speed filtering processes is vital. The previous multipliers had lots of weaknesses, such as high energy, low speed, and high area, because they implemented this necessary circuit based on traditional technology such as complementary metal-oxide semiconductor (CMOS) and very large-scale integration (VLSI). To solve all previous drawbacks in this necessary circuit, we can use nanotechnology, which directly affects the performance of the multiplier and can overcome all previous issues. One of the alternative nanotechnologies that can be used for designing digital circuits is quantum dot cellular automata, which is high speed, low area, and low power. Therefore, this manuscript suggests a quantum technology-based multiplier for DSP applications. In addition, some vital circuits, such as half adder, full adder, and ripple carry adder (RCA), are suggested for designing a multiplier. Moreover, a systolic array, accumulator, and multiply and accumulate (MAC) unit are proposed based on the quantum technologybased multiplier. Nonetheless, each of the suggested frameworks has a coplanar configuration without rotated cells. The suggested structure is developed and verified utilizing the QCADesigner 2.0.3 tools. The findings showed that all circuits have no complicated configuration, including a higher number of quantum cells, latency, and an optimum area.
Citation - WoS: 15
Citation - Scopus: 16
An efficient and energy-aware design of a novel nano-scale reversible adder using a quantum-based platform
(Elsevier, 2022) Jafari Navimipour, Nima; Navimipour, Nima Jafari; Mosleh, Mohammad; Bahar, Ali Newaz; Das, Jadav Chandra; De, Debashis; Yalcin, Senay
Quantum-dot cellular automata (QCA) is a domain coupling nano-technology that has drawn significant attention for less power consumption, area, and design overhead. It is able to achieve a high speed over the CMOS technology. Recently, the tendency to design reversible circuits has been expanding because of the reduction in energy dissipation. Hence, the QCA is a crucial candidate for reversible circuits in nano-technology. On the other hand, the addition operator is also considered one of the primary operations in digital and analog circuits due to its wide applications in digital signal processing and computer arithmetic operations. Accordingly, full-adders have become popular and extensively solve mathematical problems more efficiently and faster. They are one of the essential fundamental circuits in most digital processing circuits. Therefore, this article first suggests a novel reversible block called the RF-adder block. Then, an effective reversible adder design is proposed using the recommended reversible RF-adder block. The QCAPro and QCADesigner 2.0.3 tools were employed to assess the effectiveness of the suggested reversible full-adder. The outcomes of energy dissipation for the proposed circuit compared to the best previous structure at three different tunneling energy levels indicate a reduction in the power consumption by 45.55%, 38.82%, and 34.62%, respectively. (C) 2022 Elsevier B.V. All rights reserved.
Citation - WoS: 4
An Efficient Architecture of Adder Using Fault-Tolerant Majority Gate Based on Atomic Silicon Nanotechnology
(Ieee-inst Electrical Electronics Engineers inc, 2023) Jafari Navimipour, Nima; Jafari Navimipour, Nima; Bahar, Ali Newaz; Yalcin, Senay
It is expected that Complementary Metal Oxide Semiconductor (CMOS) implementation with ever-smaller transistors will soon face significant issues such as device density, power consumption, and performance due to the requirement for challenging fabrication processes. Therefore, a new and promising computation paradigm, nanotechnology, can replace CMOS technology. In addition, a new frontier in computing is opened up by nanotechnology called atomic silicon, which has the same extraordinary behavior as quantum dots. On the other hand, atomic silicon circuits are highly prone to defects, so suggested fault-tolerant structures in this technology play important roles. The full adders have gained popularity and find widespread use in efficiently solving mathematical problems. In the following article, we will explore the development of an efficient fault-tolerant 3-input majority gate (FT-MV3) using DBs, further enhancing the capabilities of digital circuits. A rule-based approach to the redundant DB achieves a less complex and more robust atomic silicon layout for the MV3. We use the SiQAD tool to simulate proposed circuits. In addition, to confirm the efficiency of the proposed gate, all common defects, such as single and double dangling bond omission defects and DB dislocation defects, are examined. The suggested gate is 100% and 66.66% tolerant against single and double DB omission defects, respectively. Furthermore, a new adder design is introduced using the suggested FT-MV3 gate. The results show that the suggested adder is 44.44% and 35.35% tolerant against single and double DB omission defects. Finally, a fault-tolerant four-bit adder is designed based on the proposed adder.
Citation - WoS: 27
Citation - Scopus: 29
An Efficient Design of Multiplier for Using in Nano-Scale Iot Systems Using Atomic Silicon
(IEEE-Inst Electrical Electronics Engineers Inc, 2023) Ahmadpour, Seyed-Sajad; Jafari Navimipour, Nima; Heidari, Arash; Navimpour, Nima Jafari; Asadi, Mohammad-Ali; Yalcin, Senay
Because of recent technological developments, such as Internet of Things (IoT) devices, power consumption has become a major issue. Atomic silicon quantum dot (ASiQD) is one of the most impressive technologies for developing low-power processing circuits, which are critical for efficient transmission and power management in micro IoT devices. On the other hand, multipliers are essential computational circuits used in a wide range of digital circuits. Therefore, the multiplier design with a low occupied area and low energy consumption is the most critical expected goal in designing any micro IoT circuits. This article introduces a low-power atomic silicon-based multiplier circuit for effective power management in the micro IoT. Based on this design, a $4\times 4$ -bit multiplier array with low power consumption and size is presented. The suggested circuit is also designed and validated using the SiQAD simulation tool. The proposed ASiQD-based circuit significantly reduces energy consumption and area consumed in the micro IoT compared to most recent designs.
Citation - WoS: 1
Citation - Scopus: 4
An Energy-Aware Load Balancing Method for IoT-Based Smart Recycling Machines Using an Artificial Chemical Reaction Optimization Algorithm
(Mdpi, 2023) Jafari Navimipour, Nima; Darbandi, Mehdi; Navimipour, Nima Jafari; Yalcin, Senay
Recycling is very important for a sustainable and clean environment. Developed and developing countries are both facing the problem of waste management and recycling issues. On the other hand, the Internet of Things (IoT) is a famous and applicable infrastructure used to provide connection between physical devices. It is an important technology that has been researched and implemented in recent years that promises to positively influence several industries, including recycling and trash management. The impact of the IoT on recycling and waste management is examined using standard operating practices in recycling. Recycling facilities, for instance, can use IoT to manage and keep an eye on the recycling situation in various places while allocating the logistics for transportation and distribution processes to minimize recycling costs and lead times. So, companies can use historical patterns to track usage trends in their service regions, assess their accessibility to gather resources, and arrange their activities accordingly. Additionally, energy is a significant aspect of the IoT since several devices will be linked to the internet, and the devices, sensors, nodes, and objects are all energy-restricted. Because the devices are constrained by their nature, the load-balancing protocol is crucial in an IoT ecosystem. Due to the importance of this issue, this study presents an energy-aware load-balancing method for IoT-based smart recycling machines using an artificial chemical reaction optimization algorithm. The experimental results indicated that the proposed solution could achieve excellent performance. According to the obtained results, the imbalance degree (5.44%), energy consumption (11.38%), and delay time (9.05%) were reduced using the proposed method.
Citation - WoS: 12
Citation - Scopus: 13
An Energy-Aware Nanoscale Design of Reversible Atomic Silicon Based on Miller Algorithm
(IEEE-Inst Electrical Electronics Engineers Inc, 2023) Jafari Navimipour, Nima; Jafari Navimipour, Nima; Bahar, Ali Nawaz; Mosleh, Mohammad; Yalcin, Senay
Area overhead and energy consumption continue to dominate the scalability issues of modern digital circuits. In this context, atomic silicon and reversible logic have emerged as suitable alternatives to address both issues. In this article, the authors propose novel nano-scale circuit design with low area and energy overheads using the same. In particular, the authors propose a reversible gate with Miller algorithm and atomic silicon technology. This article is extremely relevant in todays era, when the world is moving toward low area and low energy circuits for use in edge devices.
Citation - WoS: 9
Citation - Scopus: 12
Evaluating the Effect of Human Factors on Big Data Analytics and Cloud of Things Adoption in the Manufacturing Micro, Small, and Medium Enterprises
(IEEE Computer Soc, 2022) Jafari Navimipour, Nima; Gardas, Bhaskar B.; Narwane, Vaibhav S.; Navimipour, Nima Jafari; Yalcin, Senay
The purpose of the study is to explore and analyze human factors that influence big data analytics and the cloud of things adoption across Indian micro, small, and medium enterprises (MSMEs). The human factors were identified through a literature survey and experts' opinions. In order to develop a hierarchical structural model of identified human factors indicating the mutual relationship and classify the factors into cause-effect groups, a hybrid ISM-DEMATEL approach has been employed. Results of the study stated that Lack of training and development programs (HF11), Lack of vision of top management and ineffective corporate governance (HF13), and Communication barrier between management and workforce (HF4) are the most significant factors. The study's findings would be helpful to human resource managers and decision-makers of the firm to understand human-related factors responsible for technology adoption. Further, results can be validated with the investigation in other emerging economies.
Citation - WoS: 11
Citation - Scopus: 14
A GSO-based multi-objective technique for performance optimization of blockchain-based industrial Internet of things
(Wiley, 2024) Jafari Navimipour, Nima; Darbandi, Mehdi; Nassr, Mohammad; Heidari, Arash; Navimipour, Nima Jafari; Yalcin, Senay
The latest developments in the industrial Internet of things (IIoT) have opened up a collection of possibilities for many industries. To solve the massive IIoT data security and efficiency problems, a potential approach is considered to satisfy the main needs of IIoT, such as high throughput, high security, and high efficiency, which is named blockchain. The blockchain mechanism is considered a significant approach to boosting data protection and performance. In the quest to amplify the capabilities of blockchain-based IIoT, a pivotal role is accorded to the Glowworm Swarm Optimization (GSO) algorithm. Inspired by the collaborative brilliance of glowworms in nature, the GSO algorithm offers a unique approach to harmonizing these conflicting aims. This paper proposes a new approach to improve the performance optimization of blockchain-based IIoT using the GSO algorithm due to the blockchain's contradictory objectives. The proposed blockchain-based IIoT system using the GSO algorithm addresses scalability challenges typically associated with blockchain technology by efficiently managing interactions among nodes and dynamically adapting to network demands. The GSO algorithm optimizes the allocation of resources and decision-making, reducing inefficiencies and bottlenecks. The method demonstrates considerable performance improvements through extensive simulations compared to traditional algorithms, offering a more scalable and efficient solution for industrial applications in the context of the IIoT. The extensive simulation and computational study have shown that the proposed method using GSO considerably improves the objective function and blockchain-based IIoT systems' performance compared to traditional algorithms. It provides more efficient and secure systems for industries and corporations. We introduced a blockchain-based IIoT using a glowworm swarm optimization algorithm motivated by glowworms' behavior, movements' probability toward each other, and luciferin quantity. The proposed approach significantly improves four-way trade-offs such as scalability, decentralization, cost, and latency. image
Citation - WoS: 5
Citation - Scopus: 9
The Management of Iot-Based Organizational and Industrial Digitalization Using Machine Learning Methods
(Mdpi, 2023) Xu, Aoqi; Jafari Navimipour, Nima; Darbandi, Mehdi; Javaheri, Danial; Navimipour, Nima Jafari; Yalcin, Senay; Salameh, Anas A.
Recently, the widespread adoption of the Internet of Things (IoT) model has led to the development of intelligent and sustainable industries that support the economic security of modern societies. These industries can offer their participants a higher standard of living and working services via digitalization. The IoT also includes ubiquitous technology for extracting context information to deliver valuable services to customers. With the growth of connected things, the related designs often suffer from high latency and network overheads, resulting in unresponsiveness. The continuous transmission of enormous amounts of sensor data from IoT nodes is problematic because IoT-based sensor nodes are highly energy-constrained. Recently, the research community in the field of IoT and digitalization has labored to build efficient platforms using machine learning (ML) algorithms. ML models that run directly on edge devices are intensely interesting in the context of IoT applications. The use of intelligence ML algorithms in the IoT can automate training, learning, and problem-solving while enabling decision-making based on past data. Therefore, the primary aim of this research is to provide a systematic procedure to review the state-of-the-art on this scope and offer a roadmap for future studies; thus, a structure is introduced for industry sustainability, based on ML methods. The publications were reviewed using a systematic approach that divided the papers into four categories: reinforcement learning, semi-supervised learning, unsupervised learning, and supervised learning. The results showed that ML models could manage IoT-enabled industries efficiently and provide better results compared to other models, with significant differences in learning time and performance. The study findings are considered from a variety of angles concerning the industrial sector's capacity management of the new elements of Industry 4.0 by combining the industry IoT and ML. Additionally, unique and relevant instructions are provided for the designers of expert intelligent production systems in industrial domains.
Citation - WoS: 2
Citation - Scopus: 6
Multimedia big data computing mechanisms: a bibliometric analysis
(Springer, 2023) Rivai, Faradillah Amalia; Jafari Navimipour, Nima; Navimipour, Nima Jafari; Yalcin, Senay
Massive multimedia data are being created due to the rising amount of the Internet and user-generated content, low-cost commodity devices with cameras (like cellphones, surveillance systems, and so on), and the proliferation of social networks, forming a unique type of big data. Several studies have been conducted in this research area using a survey and event analysis approach; however, none has been conducted to investigate the status of knowledge, its features, evolution, and emerging trend of multimedia big data. Therefore, in this paper, a bibliometric study using VOSviewer software is carried out with 1,865 documents from 2008 to 2020. Based on the result, 2013 is the starting year where the total publication excess of 100 articles and the configuration of leading countries, productive organizations, and authors are investigated. The most cited journals, popular publications venues, and hot research topics are also included in the investigations. Our investigation uncovered useful information, such as annual publishing patterns, the hottest research topic, the top 10 important authors and articles, and the most helpful funding organizations and venues.
Citation - WoS: 4
Citation - Scopus: 6
Nano-Design of Ultra-Efficient Reversible Block Based on Quantum-Dot Cellular Automata
(Zhejiang Univ Press, 2023) Ahmadpour, Seyed Sajad; Jafari Navimipour, Nima; Navimipour, Nima Jafari; Mosleh, Mohammad; Yalcin, Senay
Reversible logic has recently gained significant interest due to its inherent ability to reduce energy dissipation, which is the primary need for low-power digital circuits. One of the newest areas of relevant study is reversible logic, which has applications in many areas, including nanotechnology, DNA computing, quantum computing, fault tolerance, and low-power complementary metal-oxide-semiconductor (CMOS). An electrical circuit is classified as reversible if it has an equal number of inputs and outputs, and a one-to-one relationship. A reversible circuit is conservative if the EXOR of the inputs and the EXOR of the outputs are equivalent. In addition, quantum-dot cellular automata (QCA) is one of the state-of-the-art approaches that can be used as an alternative to traditional technologies. Hence, we propose an efficient conservative gate with low power demand and high speed in this paper. First, we present a reversible gate called ANG (Ahmadpour Navimipour Gate). Then, two non-resistant QCA ANG and reversible fault-tolerant ANG structures are implemented in QCA technology. The suggested reversible gate is realized through the Miller algorithm. Subsequently, reversible fault-tolerant ANG is implemented by the 2DW clocking scheme. Furthermore, the power consumption of the suggested ANG is assessed under different energy ranges (0.5Ek, 1.0Ek, and 1.5Ek). Simulations of the structures and analysis of their power consumption are performed using QCADesigner 2.0.03 and QCAPro software. The proposed gate shows great improvements compared to recent designs.
Citation - WoS: 12
Citation - Scopus: 9
A Nano-Scale Arithmetic and Logic Unit Using a Reversible Logic and Quantum-Dots
(Springer, 2023) Navimipour, Nima Jafari; Jafari Navimipour, Nima; Ahmadpour, Seyed-Sajad; Yalcin, Senay
The arithmetic and logic unit (ALU) is a key element of complex circuits and an intrinsic part of the most widely recognized complex circuits in digital signal processing. Also, recent attention has been brought to reversible logic and quantum-dot cellular automata (QCA) because of their intrinsic capacity to decrease energy dissipation, which is a crucial need for low-power digital circuits. QCA will be the preferred technology for developing the subsequent generation of digital systems. These technologies played a substantial role in the design of the ALU for operations such as multiplication, subtraction, and division. In developing reversible logic and QCA technologies, the ALU is frequently studied as a central unit. Implementing an efficient ALU with low quantum cost and a small number of cells based on an efficient reversible block can solve all previous issues. Therefore, this research constructs a Feynman gate, a Fredkin gate, and full adder circuits using reversible logic and QCA technology. Using all of the specified circuits, a 20-operation ALU is constructed. The power consumption of the proposed ALU under various energy ranges demonstrated significant improvements over earlier designs.
Citation - WoS: 12
Citation - Scopus: 12
A Nano-Scale Design of a Multiply-Accumulate Unit for Digital Signal Processing Based on Quantum Computing
(Springer, 2024) Ahmadpour, Seyed-Sajad; Jafari Navimipour, Nima; Navimipour, Nima Jafari; Yalcin, Senay; Bakhshayeshi Avval, Danial; Ul Ain, Noor
Digital signal processing (DSP) is used in computer processing to conduct different signal-processing tasks. The DSPs are used in the series numbers representing a continuous variable in a domain such as time, area, or frequency. The multiply-accumulate (MAC) unit is crucial in various DSP applications, including convolution, discrete cosine transform (DCT), Fourier Transform, etc. Thus, all DSPs contain a critical MAC unit in signal processing. The MAC unit conducts multiplication and accumulation operations for continuous and complicated DSP application processes. On the other hand, in the MAC structure, the stability of the circuit and the occupied area pose some significant challenges. However, high-performance quantum technology can easily overcome all the previous shortcomings. Hence, this paper suggests an efficient MAC for DSP applications using a Vedic multiplier, half adder, and accumulator based on quantum technology. All the proposed structures have used a single-layer layout without rotated cells. The suggested architecture is designed and validated based on the QCADesigner 2.0.3 tool. The findings revealed that all the developed circuits have a simple architecture with fewer quantum cells, optimal area, and low latency.
Citation - WoS: 30
Citation - Scopus: 35
A Nano-Scale N-Bit Ripple Carry Adder Using an Optimized Xor Gate and Quantum-Dots Technology With Diminished Cells and Power Dissipation
(Elsevier, 2023) Ahmadpour, Seyed-Sajad; Jafari Navimipour, Nima; Navimipour, Nima Jafari; Mosleh, Mohammad; Bahar, Ali Newaz; Yalcin, Senay
In the nano-scale era, quantum-dot cellular automata (QCA) technology has become an appealing substitute for transistor-based technologies. QCA will be the preferred technology for developing the next generation of digital systems. On the other hand, the full-adder and ripple carry adder (RCA) are the crucial building blocks of complex circuits, the most used structures in digital operations systems, and a practical part of the most well-known complex circuits in QCA technology. In addition, this technology was used to design the full adder for several procedures, like multiplication, subtraction, and division. For this reason, the full adder is generally investigated as a central unit and microprocessor in developing QCA technology. Furthermore, most previous QCA-based adder structures have suffered from some drawbacks, such as a high number of cells, high energy consumption, the high number of gates, and the placement of inputs and outputs in a closed loop; hence, the implementation of an efficient adder with only one gate and a low number of cells, such as exclusive-OR (XOR) gate, can solve all previous problems. Therefore, in this paper, a significantly improved structure of 3-input XOR is suggested based on the promising QCA technology. In addition, a QCA clocking mechanism and explicit cell interaction form the foundation of the proposed QCA-based XOR gate configuration. This gate can be easily converted into an adder circuit while containing a small number of cells and being extremely compressed. The suggested QCA-based XOR design is focused on optimizing a single-bit adder using cellular interaction. The suggested single-bit adder contains 14 cells. Based on this adder, several different RCAs, such as 4, 8, 16, and 32-bit, are designed. The comparison of the proposed single-bit adder to the best coplanar and multi-layer ones shows a 51.72% and 36.36% reduction of cells, respectively. In addition, all suggested designs are verified through simulation using QCADesigner and QCAPro. Finally, many physical validations are provided to approve the functionality of the suggested XOR design.(c) 2023 Elsevier B.V. All rights reserved.
Citation - WoS: 3
Citation - Scopus: 2
A New Decision-Making Method for Service Discovery and Selection in the Internet of Things Using Flower Pollination Algorithm
(Springer, 2022) Tabrizi, Sara Ghiasi; Jafari Navimipour, Nima; Navimipour, Nima Jafari; Danesh, Amir Seyed; Yalcin, Senay
The Internet of Things (IoT) enables intelligent and heterogeneous things to access the Internet and subsequently interact and share info. A service management methodology is required by growing IoT applications and the number of services supplied by various objects. Nevertheless, making decisions, finding, and choosing a service is complex. Therefore, numerous techniques are explored in this regard. This paper employed Flower Pollination Algorithm (FPA) for service discovery and selection in IoT. The FPA is a nature-inspired algorithm that mimics flowering plant pollination behavior. Through a hand-over probability, it is possible to adjust the balance between local and global search properly. The survival of the fittest and the optimal reproducing plants regarding numbers are parts of an optimum plant reproduction strategy. These elements are optimization-oriented and constitute the FPA's basics. The suggested methodology has an excellent performance in minimizing data access time, energy usage and optimizing cost according to simulation findings.
Citation - WoS: 7
Citation - Scopus: 6
A New Design of a Digital Filter for an Efficient Field Programmable Gate Array Using Quantum Dot Technology
(Elsevier, 2024) Taghavirashidizadeh, Ali; Jafari Navimipour, Nima; Ahmadpour, Seyed-Sajad; Ahmed, Suhaib; Navimipour, Nima Jafari; Kassa, Sankit Ramkrishna; Yalcin, Senay
Digital filtering algorithms are most frequently used to implement generic-based Field-programmable gate arrays (FPGAs) chips, which are used for higher sampling rates. In the filtering structure, delay and occupied areas play a vital role. Since the existing structures suffered from shortcomings such as high delay and high occupied area, implementing a high-performance digital filter circuit with high speed and low occupied area based on unique technology can significantly improve the performance of whole FPGA structures. One of the best technologies to implement this vital structure to solve these shortcomings is quantum-dot cellular automata (QCA) technology. This paper presents several new efficient full adders for digital filter applications based on quantum technology, including a multiplier, AND gate, and accumulator. The QCADesigner 2.0.3 tool is used to create and validate the suggested designs. According to the results, all designed circuits have simple structures with few quantum cells, low area, and low latency.
Citation - WoS: 3
Citation - Scopus: 3
A New Energy-Aware Method for Gas Lift Allocation in IoT-Based Industries Using a Chemical Reaction-Based Optimization Algorithm
(Mdpi, 2022) Jafari Navimipour, Nima; Bastak, Mostafa Razoughi; Alizadeh, Seyed Mehdi; Navimipour, Nima Jafari; Yalcin, Senay
The Internet of Things (IoT) has recently developed opportunities for various industries, including the petrochemical industry, that allow for intelligent manufacturing with real-time management and the analysis of the produced big data. In oil production, extracting oil reduces reservoir demand, causing oil supply to fall below the economically viable level. Gas lift is a popular artificial lift system that is both efficient and cost-effective. If gas supplies in the gas lift process are not limited, a sufficient amount of gas may be injected into the reservoir to reach the highest feasible production rate. Because of the limited supply of gas, it is essential to achieve the sustainable utilization of our limited resources and manage the injection rate of the gas into each well in order to enhance oil output while reducing gas injection. This study describes a novel IoT-based chemical reaction optimization (CRO) technique to solve the gas lift allocation issue. The CRO algorithm is inspired by the interaction of molecules with each other and achieving the lowest possible state of free energy from an unstable state. The CRO algorithm has excellent flexibility, enabling various operators to modify solutions and a favorable trade-off between intensification and diversity. A reasonably fast convergence rate serves as a powerful motivator to use as a solution. The extensive simulation and computational study have presented that the proposed method using CRO based on IoT systems significantly improves the overall oil production rate and reduces gas injection, energy consumption and cost compared to traditional algorithms. Therefore, it provides a more efficient system for the petroleum production industry.
Citation - WoS: 12
Citation - Scopus: 13
A New Energy-Efficient Design for Quantum-Based Multiplier for Nano-Scale Devices in Internet of Things
(Pergamon-elsevier Science Ltd, 2024) Ahmadpour, Seyed-Sajad; Jafari Navimipour, Nima; Noorallahzadeh, Mojtaba; Al-Khafaji, Hamza Mohammed Ridha; Darbandi, Mehdi; Navimipour, Nima Jafari; Javadi, Bahman; Yalcin, Senay
An enormous variety of items and things are connected via wired or wireless connections and specific addressing schemes, which is known as the Internet of Things (IoT). However, IoT devices that adopt aggressive duty-cycling for high power efficiency and prolonged lifespan necessitate the incorporation of ultra-low power consumption always-on blocks. The multiplier plays a crucial role in enhancing the capabilities of low-power IoT devices, particularly those operating with energy-efficient batteries that offer extended battery life. The previous multipliers have a struggling speed, enormous occupied area, and high energy consumption; therefore, all prior flaws must be fixed by implementing it in a suitable technology, like the quantum computing. Therefore, this paper examines the ultra-low power circuit for nano-scale IoT platforms. It also suggests novel quantum-based adders for multiplier structure. The proposed designs are simulated using the QCADesignerE 2.2 tool by focusing on energy-efficient and occupied areas for miniaturizing IoT systems.
Citation - WoS: 2
A New Fog-Based Transmission Scheduler on the Internet of Multimedia Things Using a Fuzzy-Based Quantum Genetic Algorithm
(Ieee Computer Soc, 2023) Jafari Navimipour, Nima; Al-Khafaji, Hamza Mohammed Ridha; Navimipour, Nima Jafari; Yalcin, Senay
The Internet of Multimedia Things (IoMT) has recently experienced a considerable surge in multimedia-based services. Due to the fast proliferation and transfer of massive data, the IoMT has service quality challenges. This article proposes a novel fog-based multimedia transmission scheme for the IoMT using the Sugano interference system with a quantum genetic optimization algorithm. The fuzzy system devises a mathematically organized strategy for generating fuzzy rules from input and output variables. The quantum genetic algorithm (QGA) is a metaheuristic algorithm that combines genetic algorithms and quantum computing theory. It combines many critical elements of quantum computing, such as quantum superposition and entanglement. This provides a robust representation of population diversity and the capacity to achieve rapid convergence and high accuracy. As a result of the simulations and computational analysis, the proposed fuzzy-based QGA scheme improves the packet delivery ratio and throughput by reducing end-to-end latency and delay when compared to traditional algorithms like genetic algorithm, particle swarm optimization, heterogeneous earliest finish time, and ant colony optimization. Consequently, it provides a more efficient scheme for multimedia transmission in the IoMT.
Citation - WoS: 5
Citation - Scopus: 6
A New Qos-Aware Method for Production Scheduling in the Industrial Internet of Things Using Elephant Herding Optimization Algorithm
(Springer, 2022) Avval, Danial Bakhshayeshi; Jafari Navimipour, Nima; Heris, Pouria Ouni; Navimipour, Nima Jafari; Mohammadi, Behnaz; Yalcin, Senay
The Internet of Things (IoT) is a network of physical items implanted with software, sensors, etc., to link and exchange data with other devices. These devices vary in complexity from common household items to sophisticated industrial instruments. It would be challenging to choose an appropriate IoT service based on the requirements of the vast pool of accessible services with similar capabilities, given the growth of IoT-based service providers in the market. A suitable selection may be made using quality-of-service (QoS) parameters that characterize a service. IoT has several benefits over traditional communication systems. Also, it is a component of a safe and smart city system known as the Industrial Internet of Things (IIoT) which is particularly useful in the industrial field. However, it suffers from various issues such as high costs, energy consumption, and long delays. The production scheduling problem is one of the main issues in IIoT, and it is an NP-hard problem regarding cost and energy efficiency. Therefore, a meta-heuristic algorithm based on the elephant herd optimization algorithm is proposed to minimize resource costs, conversion costs, and the cost of continuous development delays. By combining the clan updating factor, separating operator, and the proposed algorithm, we created an effective and efficient method to solve the issue of production scheduling. Many experiments are performed to determine the performance of industrial environments. The outcomes demonstrate that the suggested technique can optimize planning and achieve cost reduction, efficient energy consumption, and latency decrease.