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Khujamatov, Halimjon

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Name Variants
Khalimjon, Khujamatov
Halimjon, Khujamatov
H, Khujamatov
Kh, Khujamatov
Khujamatov, H
Khujamatov, Kh
Khujamatov, Halimjon
Khujamatov, Halim
Khalim, Khujamatov
Job Title
Doctor of Technical Sciences, Professor
Email Address
kh.khujamatov@gmail.com
ORCID ID
0000-0001-5206-635X
Scopus Author ID
Turkish CoHE Profile ID
Google Scholar ID
WoS Researcher ID
Scholarly Output

5

Articles

4

Citation Count

31

Supervised Theses

0

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2020 - 20245
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Now showing 1 - 5 of 5
  • Thumbnail Image
    Article
    Citation Count: 2
    Clustered Routing Using Chaotic Genetic Algorithm With Grey Wolf Optimization To Enhance Energy Efficiency in Sensor Networks
    (Mdpi, 2024) Khujamatov, Halimjon; Pitchai, Mohaideen; Shamsiev, Alibek; Mukhamadiyev, Abdinabi; Cho, Jinsoo; Department of Data Communication Networks and Systems
    As an alternative to flat architectures, clustering architectures are designed to minimize the total energy consumption of sensor networks. Nonetheless, sensor nodes experience increased energy consumption during data transmission, leading to a rapid depletion of energy levels as data are routed towards the base station. Although numerous strategies have been developed to address these challenges and enhance the energy efficiency of networks, the formulation of a clustering-based routing algorithm that achieves both high energy efficiency and increased packet transmission rate for large-scale sensor networks remains an NP-hard problem. Accordingly, the proposed work formulated an energy-efficient clustering mechanism using a chaotic genetic algorithm, and subsequently developed an energy-saving routing system using a bio-inspired grey wolf optimizer algorithm. The proposed chaotic genetic algorithm-grey wolf optimization (CGA-GWO) method is designed to minimize overall energy consumption by selecting energy-aware cluster heads and creating an optimal routing path to reach the base station. The simulation results demonstrate the enhanced functionality of the proposed system when associated with three more relevant systems, considering metrics such as the number of live nodes, average remaining energy level, packet delivery ratio, and overhead associated with cluster formation and routing.
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    Article
    Citation Count: 0
    Erirms Evaluation of the Reliability of Iot-Aided Remote Monitoring Systems of Low-Voltage Overhead Transmission Lines
    (Mdpi, 2024) Khujamatov, Halimjon; Davronbekov, Dilmurod; Khayrullaev, Alisher; Abdullaev, Mirjamol; Mukhiddinov, Mukhriddin; Cho, Jinsoo; Department of Data Communication Networks and Systems
    Researchers have studied instances of power line technical failures, the significant rise in the energy loss index in the line connecting the distribution transformer and consumer meters, and the inability to control unauthorized line connections. New, innovative, and scientific approaches are required to address these issues while enhancing the reliability and efficiency of electricity supply. This study evaluates the reliability of Internet of Things (IoT)-aided remote monitoring systems specifically designed for a low-voltage overhead transmission line. Many methods of analysis and comparison have been employed to examine the reliability of wireless sensor devices used in real-time remote monitoring. A reliability model was developed to evaluate the reliability of the monitoring system in various situations. Based on the developed models, it was found that the reliability indicators of the proposed monitoring system were 98% in 1 month. In addition, it has been proven that the reliability of the system remains high even when an optional sensor in the network fails. This study investigates various IoT technologies, their integration into monitoring systems, and their effectiveness in enhancing the reliability and efficiency of electrical transmission infrastructure. The analysis includes data from field deployments, case studies, and simulations to assess performance metrics, such as accuracy, latency, and fault detection capabilities.
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    Article
    Citation Count: 26
    Emerging Trends and Evolutions for Smart City Healthcare Systems
    (Elsevier, 2022) Bin Ahmad, Khairol Amali; Khujamatov, Halim; Akhmedov, Nurshod; Bajuri, Mohd Yazid; Ahmad, Mohammad Nazir; Ahmadian, Ali; Department of Data Communication Networks and Systems
    rapid development of the industry affected all its branches, led to evolution, and influenced people's worldview and desires. The revolutionary changes also affected the healthcare system, contributing to its development in technological, socio economic, scientific, and physical terms. Healthcare has gone through several stages called Healthcare 1.0, Healthcare 2.0, Healthcare 3.0, and Healthcare 4.0. Each of these stages is a logical chain of one whole progress, resulting in solving open challenges and previous problems. Each stage has its advantages, disadvantages, distinctive features, methods of providing medical care, scientific and technical innovations, where the research of which is mandatory for understanding the system as a whole, identifying trends, and developing future directions. This paper is devoted to a systematic analysis of the evolutionary development of healthcare, identifying the causes, means, and influence on subsequent processes. The chronology of the methods is revealed. Each stage of development is analyzed in terms of social significance, scientific and technological significance, communications, and application of information technologies, which makes this paper unique in this area. The studies were carried out with an emphasis on the technical component of the system, particularly the application of network technologies and services, the issues of the introduction of emerging technologies.
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    Article
    Citation Count: 0
    Fog Computing Capabilities for Big Data Provisioning: Visualization Scenario
    (Mdpi, 2022) Khujamatov, Halimjon; Ahmad, Khaleel; Usmanova, Nargiza; Khoshimov, Jamshid; Alduailij, Mai; Alduailij, Mona; Department of Data Communication Networks and Systems
    With the development of Internet technologies, huge amounts of data are collected from various sources, and used 'anytime, anywhere' to enrich and change the life of the whole of society, attract ways to do business, and better perceive people's lives. Those datasets, called 'big data', need to be processed, stored, or retrieved, and special tools were developed to analyze this big data. At the same time, the ever-increasing development of the Internet of Things (IoT) requires IoT devices to be mobile, with adequate data processing performance. The new fog computing paradigm makes computing resources more accessible, and provides a flexible environment that will be widely used in next-generation networks, vehicles, etc., demonstrating enhanced capabilities and optimizing resources. This paper is devoted to analyzing fog computing capabilities for big data provisioning, while considering this technology's different architectural and functional aspects. The analysis includes exploring the protocols suitable for fog computing by implementing an experimental fog computing network and assessing its capabilities for providing big data, originating from both a real-time stream and batch data, with appropriate visualization of big data processing.
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    Conference Object
    Citation Count: 3
    Flying Ad Hoc Network Expedited by Dtn Scenario: Reliable and Cost-Effective Mac Protocols Perspective
    (Ieee, 2020) Arsheen, Sobiya; Wahid, Abdul; Ahmad, Khaleel; Khalim, Khujamatov; Department of Data Communication Networks and Systems
    Flying Adhoc Network (FANET) is an emerging topic of research in the wireless network area, FANET has several common features with its predecessor e.g. Mobile Adhoc Network (MANET) and Vehicle Adhoc Network (VANET), but the network has several unique features also which make it different from other networks. The sparseness of nodes, coupled with frequent changing of topology significantly affects the data transmission rate of the network. To overcome this problem, FANET can be assisted with Delay Tolerant Network (DTN) approach to exploit its mobility and routing features. The main aim of this work is to make Flying Adhoc Network reliable by deploying two MAC protocols i.e. IEEE 802.11 and IEEE 802.15 and realize the functionality of Delay Tolerant Network (DTN) in a FANET.