Relevant bibliographies by topics / Space-based computing

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Space-based computing'

Author: Grafiati
Published: 4 June 2021
Last updated: 13 February 2022

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Journal articles on the topic "Space-based computing"

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Khalfi, Mohammed Fethi, and Sidi Mohamed Benslimane. "Meta Model Context Based Space for Ubiquitous Computing." International Journal of Advanced Pervasive and Ubiquitous Computing 7, no. 2 (April 2015): 51–66. http://dx.doi.org/10.4018/ijapuc.2015040105.

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Pervasive computing is a paradigm that focuses on the availability of computer resources anytime anywhere for any application and supports integration of computing services into everyday life. Context awareness is the core feature of pervasive computing. High-level context awareness can be enhanced by situation awareness that represents the ability to detect and reason about the real-life situations. In this paper, in order to deal with the problem in context-aware modeling in pervasive computing environments, the authors present a comprehensive and integrated approach for context modeling. They first propose a Meta model context based on ontology for Pervasive Computing aiming firstly to overcome the limitations of the existing ontologies, and secondly extend its capabilities by adding new environmental aspects. They divide the context model into Meta Ontology level and Domain-specific Ontology level according to the abstraction hierarchy. The Meta Ontology is the high abstract level which extracting the basic elements of the context knowledge. The Domain-specific Ontology is the lower abstract lever which focusing on different domains knowledge, directed by the Meta Ontology. The advantage is that it can provide a flexible modeling mechanism for multiple applications of context-aware pervasive computing. A case study of HealthCare domain is given to illustrate the practicality of the authors' Model.
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Esposito, S., C. Albanese, M. Alderighi, F. Casini, L. Giganti, M. L. Esposti, C. Monteleone, and M. Violante. "COTS-Based High-Performance Computing for Space Applications." IEEE Transactions on Nuclear Science 62, no. 6 (December 2015): 2687–94. http://dx.doi.org/10.1109/tns.2015.2492824.

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Vyurkov, V., S. Filippov, and L. Gorelik. "Quantum computing based on space states without charge transfer." Physics Letters A 374, no. 33 (July 2010): 3285–91. http://dx.doi.org/10.1016/j.physleta.2010.06.023.

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Cristea, Valentin, Ciprian Dobre, Alexandru Costan, and Florin Pop. "Middleware and architectures for space-based and situated computing." International Journal of Space-Based and Situated Computing 1, no. 1 (2011): 43. http://dx.doi.org/10.1504/ijssc.2011.039106.

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Chen, Yong, Huang Xu, Guanlin Chen, Huajian Pang, and Wujian Yang. "A parking space allocation algorithm based on distributed computing." International Journal of Sensor Networks 33, no. 4 (2020): 250. http://dx.doi.org/10.1504/ijsnet.2020.10031354.

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Chen, Guanlin, Huajian Pang, Huang Xu, Wujian Yang, and Yong Chen. "A parking space allocation algorithm based on distributed computing." International Journal of Sensor Networks 33, no. 4 (2020): 250. http://dx.doi.org/10.1504/ijsnet.2020.109196.

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Innocenti, Maria Elena, Alec Johnson, Stefano Markidis, Jorge Amaya, Jan Deca, Vyacheslav Olshevsky, and Giovanni Lapenta. "Progress towards physics-based space weather forecasting with exascale computing." Advances in Engineering Software 111 (September 2017): 3–17. http://dx.doi.org/10.1016/j.advengsoft.2016.06.011.

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Huang, Bin Wen, and Jie Yu Li. "A Teaching Resources Platform Based on Cloud Computing Technology." Applied Mechanics and Materials 687-691 (November 2014): 3074–77. http://dx.doi.org/10.4028/www.scientific.net/amm.687-691.3074.

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This paper gives a teaching resources platform that is a comprehensive feature rich, convenient use, strong interactivity based on cloud computing technology. Platform includes various cloud functions and cloud spaces such as identity authentication function, single sign-on function, resources upload/download function, resources collection function, resource integration function, instant communication function, teacher resource cloud space, student resources cloud space, theme resources cloud space, department resources cloud space and schools resources cloud space. Compared with available technology, we can build an no capacity constraints cloud platform for storage and sharing of teaching resources based on the cloud computing technology, this teaching resources cloud platform is an open, interactive public service platform of educational resources.
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Gunter, Brian C., and Daan C. Maessen. "Space-Based Distributed Computing Using a Networked Constellation of Small Satellites." Journal of Spacecraft and Rockets 50, no. 5 (September 2013): 1086–95. http://dx.doi.org/10.2514/1.a32384.

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Liu, Hongbing, Gengyi Liu, Xuewen Ma, and Daohua Liu. "Training dictionary by granular computing with L∞-norm for patch granule–based image denoising." Journal of Algorithms & Computational Technology 12, no. 2 (March 2, 2018): 136–46. http://dx.doi.org/10.1177/1748301818761131.

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Considering the objects by different granularity reflects the recognition common law of people, granular computing embodies the transformation between different granularity spaces. We present the image denoising algorithm by using the dictionary trained by granular computing with L∞-norm, which realizes three transformations, (1) the transformation from image space to patch granule space, (2) the transformation between granule spaces with different granularities, and (3) the transformation from patch granule space to image space. We demonstrate that the granular computing with L∞-norm achieved the comparable peak signal to noise ratio (PSNR) measure compared with BM3D and patch group prior based denoising for eight natural images.
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Dissertations / Theses on the topic "Space-based computing"

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Jallad, A. H. M. "Distributed computing in space-based wireless sensor networks." Thesis, University of Surrey, 2008. http://epubs.surrey.ac.uk/773025/.

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This thesis investigates the application of distributed computing in general and wireless sensor networks in particular to space applications. Particularly, the thesis addresses issues related to the design of "space-based wireless sensor networks" that consist of ultra-small satellite nodes flying together in close formations. The design space of space-based wireless sensor networks is explored. Consequently, a methodology for designing space-based wireless sensor networks is proposed that is based on a modular architecture. The hardware modules take the form of 3-D Multi-Chip Modules (MCM). The design of hardware modules is demonstrated by designing a representative on-board computer module. The onboard computer module contains an FPGA which includes a system-on-chip architecture that is based on soft components and provides a degree of flexibility at the later stages of the design of the mission.
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Wu, Qinglong. "A SOFT-COMPUTING BASED SYSTEM LEVEL DESIGN SPACE EXPLORATION METHODOLOGY FOR SYSTEM-ON-CHIP DESIGNS." Diss., The University of Arizona, 2009. http://hdl.handle.net/10150/146065.

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This dissertation presents a novel intelligent embedded multi-objective multiple design space exploration methodology (IMODE) to support fast early system level System-on-Chip (SoC) design space exploration in order to improve design productivity and quality. The IMODE methodology uses two soft-computing technologies - a Pareto multi-objective genetic algorithm and a fuzzy logic system at their respective advantages to effectively and efficiently explore multiple large design spaces and make intelligent design decisions. The design space search process is guided by the Pareto multi-objective genetic algorithm to heuristically cover large design spaces and the design decision is performed by the fuzzy logic system based decision making engine which introduces another layer of computation intelligence on top of the intelligent design space search process. The IMODE methodology is unique and more comprehensive than many other existing SoC design space exploration methodologies in that design space exploration and decision making are two separated but still interdependent processes, and all heterogeneous design space explorations - computation/core exploration, communication architecture exploration, and physical design exploration, are integrated into a single SoC exploration flow and covered with a unified methodology which can significantly improve methodology continuity.
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Acharya, Debopam Kumar Vijay. "Data in your space a data staging and push pull based location dependent wireless data dissemination system /." Diss., UMK access, 2006.

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Thesis (Ph. D.)--School of Computing and Engineering. University of Missouri--Kansas City, 2006.
"A dissertation in computer science and informatics and telecommunications and computer networking." Advisor: Vijay Kumar. Typescript. Vita. Title from "catalog record" of the print edition Description based on contents viewed Jan. 26, 2007. Includes bibliographical references (leaves 115-120). Online version of the print edition.
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Sun, Yi. "High Performance Simulation of DEVS Based Large Scale Cellular Space Models." Digital Archive @ GSU, 2009. http://digitalarchive.gsu.edu/cs_diss/40.

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Cellular space modeling is becoming an increasingly important modeling paradigm for modeling complex systems with spatial-temporal behaviors. The growing demand for cellular space models has directed researchers to use different modeling formalisms, among which Discrete Event System Specification (DEVS) is widely used due to its formal modeling and simulation framework. The increasing complexity of systems to be modeled asks for cellular space models with large number of cells for modeling the systems¡¯ spatial-temporal behavior. Improving simulation performance becomes crucial for simulating large scale cellular space models. In this dissertation, we proposed a framework for improving simulation performance for large scale DEVS-based cellular space models. The framework has a layered structure, which includes modeling, simulation, and network layers corresponding to the DEVS-based modeling and simulation architecture. Based on this framework, we developed methods at each layer to overcome performance issues for simulating large scale cellular space models. Specifically, to increase the runtime and memory efficiency for simulating large number of cells, we applied Dynamic Structure DEVS (DSDEVS) to cellular space modeling and carried out comprehensive performance measurement. DSDEVS improves simulation performance by making the simulation focus only on those active models, and thus be more efficient than when the entire cellular space is loaded. To reduce the number of simulation cycles caused by extensive message passing among cells, we developed a pre-schedule modeling approach that exploits the model behavior for improving simulation performance. At the network layer, we developed a modified time-warp algorithm that supports parallel simulation of DEVS-based cellular space models. The developed methods have been applied to large scale wildfire spread simulations based on the DEVS-FIRE simulation environment and have achieved significant performance results.
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Howes, William A. "On-Orbit FPGA SEU Mitigation and Measurement Experiments on the Cibola Flight Experiment Satellite." BYU ScholarsArchive, 2011. https://scholarsarchive.byu.edu/etd/2474.

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This work presents on-orbit experiments conducted to validate SEU mitigation and detection techniques on FPGA devices and to measure SEU rates in FPGAs and SDRAM. These experiments were designed for the Cibola Flight Experiment Satellite (CFESat), which is an operational technology pathfinder satellite built around 9 Xilinx Virtex FPGAs and developed at Los Alamos National Laboratory. The on-orbit validation experiments described in this work have operated for over four thousand FPGA device days and have validated a variety of SEU mitigation and detection techniques including triple modular redundancy, duplication with compare, reduced precision redundancy, and SDRAM and FPGA block memory scrubbing. Regional SEU rates and the change in CFE's SEU rate over time show the measurable, expected effects of the South Atlantic Anomaly and the cycle of solar activity on CFE's SEU rates. The results of the on-orbit experiments developed for this work demonstrate that FPGA devices can be used to provide reliable, high-performance processing to space applications when proper SEU mitigation strategies are applied to the designs implemented on the FPGAs.
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Kramer, Stephan Christoph. "CUDA-based Scientific Computing." Doctoral thesis, Niedersächsische Staats- und Universitätsbibliothek Göttingen, 2012. http://hdl.handle.net/11858/00-1735-0000-000D-FB52-0.

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Hemprich, Izabella Campolina Silva e. "Consortia optimization for European Space Agency proposals based on cognitive computing." Master's thesis, 2019. http://hdl.handle.net/10451/39603.

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Trabalho de projeto de mestrado, Matemática Aplicada à Economia e Gestão, Universidade de Lisboa, Faculdade de Ciências, 2019
Esta tese de mestrado estuda as relações entre as palavras escritas nos resumos dos concursos da Agência Espacial Europeia (ESA - Invitation to Tender - ITT) e, em particular, se existe alguma correlação entre as palavras e a possibilidade de determinado país ser o ganhador do concurso. Um conjunto de dados de 2013 a 2016, com as informações dos dashboards dos status dos concursos e as informações do site Emits fornecidos pela ESA foram organizadas e compiladas. Em seguida, os códigos necessários para analisar esse conjunto de dados foi desenvolvido em R. Construímos matrizes e representações gráficas com as relações entre os países vencedores, os escritórios da ESA e os diferentes programas da ESA. Com base nisso, os primeiros pontos foram levantados e analisados. Em seguida, selecionamos cinco países com base no número de ITTs premiados e representatividade nos escritórios da ESA para desenvolvimento de modelos estatísticos. Esses países são: Alemanha, França, Grã-Bretanha ( Reino Unido), Itália e Bélgica. Com o uso de pacotes de mineração de dados (text mining), com o “TM” do R, os resumos originais foram organizados, de forma a retirar informação irrelevante que poderiam dificultar a realização deste trabalho. Números, espaços em branco e palavras mais frequentes foram removidas e todo texto foi colocado em minúsculo. Após estas etapas, a matriz documento por termo (DTM) foi construída. Nesta matrix, cada linhas é um documento (neste caso, o resumo de cada um dos ITTs) e cada coluna as variáveis (neste caso, as palavras mais frequentes na base de dados). A DTM é a base de todo o estudo relativo a análise textual. Para cada um dos cinco países com mais ITTs, modelos logísticos foram criados e métodos de seleção Stepwise aplicados. Os modelos criados relacionam palavras com a possibilidade de um determinado país ganhar um ITT. A validade dos modelos foi analisada utilizando parâmetros estatísticos como: sensibilidade x curva de especificidade (ponto de corte), área curva Roc e Odd. Posteriormente, começamos a investigar se os ITTs se aglomeraram em clusters definidos por estas variáveis. Diferentes métodos foram utilizados. O parâmetro da silhueta foi usado para validação dos clusters, porém os resultados não foram satisfatórios. Aplicou-se a análise de componentes principais (PCA), que permaneceu deixando lacunas, sugerindo que estudos mais avançados devem ser feitos para entender essa questão. Com este estudo, podemos inferir que existem relações entre as palavras escritas nos resumos dos ITTS e a chance de um determinado país ser o vencedor de um determinado ITT. Por essa razão, este tema merece continuar a ser desenvolvido em trabalhos futuros.
This master thesis intends to study relations between the words written in European Space Agency (ESA) Invitation to Tender (ITT) abstracts, and, if there is any correlation between the words and the chance of a certain country to award a bid. An intermediate task was to compile and organize a proper dataset. A dataset was created using the ESA Dashboards and ESA Emits from 2013 to 2016 as basis. Then, we developed the necessary codes to analyze this dataset in R. We constructed matrices and graphical representations with the relations between Winner Countries, the ESA Offices and the different ESA Programs. Based on this, our firsts points were raised and analyzed. Five countries were selected based in the number of awarded ITTs. They are Germany, France, Great Britain, Italy and Belgium. These countries were scrutinized using text mining techniques and statistics models. Using our dataset, we analyzed the entire text abstract with R packages for text mining, as the TM package. The original abstracts were organized removing numbers, white spaces and most frequent words. After these steps, document term matrix (DTM) were constructed. DTM is a matrix, where the rows are the documents (ITT abstract) and the columns are the variables (most frequent words). The DTM was the basis for all textual analysis study. Regression models (logistic regression) were created for these five countries and stepwise methods used for variables selection. The created models relate words with the chance of a certain country winning an ITT. The validity of the models was analyzed using statistics parameters as: Sensibility x Specificity curve (cut-off point), Area under ROC curve, ODD. Ratio and fitted values. Afterwards, we started to investigate if the ITTs clustered in the DTM defined space. Different methods were used to define clusters. We verified if clustered formed in the word frequency space and also in a principal component analysis transformed space. However, results show that no method results in an automatic clustering using the Silhouette method, suggesting that more advanced techniques might be needed to extract the true number of clusters. The results of the application of PCA do not show agglomeration, suggesting internal clustering tendency. Finally, we can conclude that there seems to exist some relations between words and winner countries, the reasons for which remains to be studied in further works.
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Kuwahara, Toshinori [Verfasser]. "FPGA-based reconfigurable on-board computing systems for space applications / by Toshinori Kuwahara." 2010. http://d-nb.info/1000794369/34.

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Ahsan, Muhammad. "Architecture Framework for Trapped-ion Quantum Computer based on Performance Simulation Tool." Diss., 2015. http://hdl.handle.net/10161/10461.

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The challenge of building scalable quantum computer lies in striking appropriate balance between designing a reliable system architecture from large number of faulty computational resources and improving the physical quality of system components. The detailed investigation of performance variation with physics of the components and the system architecture requires adequate performance simulation tool. In this thesis we demonstrate a software tool capable of (1) mapping and scheduling the quantum circuit on a realistic quantum hardware architecture with physical resource constraints, (2) evaluating the performance metrics such as the execution time and the success probability of the algorithm execution, and (3) analyzing the constituents of these metrics and visualizing resource utilization to identify system components which crucially define the overall performance.

Using this versatile tool, we explore vast design space for modular quantum computer architecture based on trapped ions. We find that while success probability is uniformly determined by the fidelity of physical quantum operation, the execution time is a function of system resources invested at various layers of design hierarchy. At physical level, the number of lasers performing quantum gates, impact the latency of the fault-tolerant circuit blocks execution. When these blocks are used to construct meaningful arithmetic circuit such as quantum adders, the number of ancilla qubits for complicated non-clifford gates and entanglement resources to establish long-distance communication channels, become major performance limiting factors. Next, in order to factorize large integers, these adders are assembled into modular exponentiation circuit comprising bulk of Shor's algorithm. At this stage, the overall scaling of resource-constraint performance with the size of problem, describes the effectiveness of chosen design. By matching the resource investment with the pace of advancement in hardware technology, we find optimal designs for different types of quantum adders. Conclusively, we show that 2,048-bit Shor's algorithm can be reliably executed within the resource budget of 1.5 million qubits.


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Books on the topic "Space-based computing"

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Mobile interface theory: Embodied space and locative media. New York: Routledge, 2012.

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Quotient Space Based Problem Solving A Theoretical Foundation Of Granular Computing. Elsevier Science & Technology, 2014.

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Mobile Interface Theory: Embodied Space and Locative Media. Taylor & Francis Group, 2020.

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Farman, Jason. Mobile Interface Theory: Embodied Space and Locative Media. Taylor & Francis Group, 2013.

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Farman, Jason. Mobile Interface Theory: Embodied Space and Locative Media. Taylor & Francis Group, 2020.

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Farman, Jason. Mobile Interface Theory: Embodied Space and Locative Media. Taylor & Francis Group, 2020.

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Farman, Jason. Mobile Interface Theory: Embodied Space and Locative Media. Taylor & Francis Group, 2020.

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Farman, Jason. Mobile Interface Theory: Embodied Space and Locative Media. Taylor & Francis Group, 2013.

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Mobile Interface Theory: Embodied Space and Locative Media. Taylor & Francis Group, 2020.

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Farman, Jason. Mobile Interface Theory: Embodied Space and Locative Media. Taylor & Francis Group, 2013.

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Book chapters on the topic "Space-based computing"

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Riemer, Johannes, Francisco Martin-Recuerda, Ying Ding, Martin Murth, Brahmananda Sapkota, Reto Krummenacher, Omair Shafiq, Dieter Fensel, and Eva Kühn. "Triple Space Computing: Adding Semantics to Space-Based Computing." In The Semantic Web – ASWC 2006, 300–306. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11836025_30.

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Andrić, Marina, Rocco De Nicola, and Alberto Lluch Lafuente. "Replica-Based High-Performance Tuple Space Computing." In Lecture Notes in Computer Science, 3–18. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-19282-6_1.

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Łapa, Krystian, Krzysztof Cpałka, Andrzej Przybył, and Konrad Grzanek. "Negative Space-Based Population Initialization Algorithm (NSPIA)." In Artificial Intelligence and Soft Computing, 449–61. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-91253-0_42.

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Giunchiglia, Enrico, and Alessandro Armando. "Mental-Model and Mental-Logic based Reasoning about Space." In Workshops in Computing, 267–77. London: Springer London, 1993. http://dx.doi.org/10.1007/978-1-4471-3562-3_17.

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Dunham, Mark E., Michael P. Caffrey, and Paul S. Graham. "Challenges and Successes in Space Based Reconfigurable Computing." In Field Programmable Logic and Application, 948–51. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-540-45234-8_92.

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Ma, Jian-Min, Wen-Xiu Zhang, Wei-Zhi Wu, and Tong-Jun Li. "Granular Computing Based on a Generalized Approximation Space." In Rough Sets and Knowledge Technology, 93–100. Berlin, Heidelberg: Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-72458-2_11.

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Huang, Cheng, Huaping Liu, Fuchun Sun, and Yuming Sheng. "Space Robot Teleoperation Based on Active Vision." In Advances in Intelligent Systems and Computing, 229–40. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-54927-4_22.

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Yin, Wenhui. "Adaptive Testing Based on Knowledge Space Theory." In Advances in Intelligent Systems and Computing, 416–21. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-70042-3_60.

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Lv, Jin-Xiong, and Shikui Tu. "Integration of Data-Space and Statistics-Space Boundary-Based Test to Control the False Positive Rate." In Intelligent Computing Methodologies, 628–38. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-95957-3_65.

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Ferdowsi, Sohrab, Sviatoslav Voloshynovskiy, Marcin Gabryel, and Marcin Korytkowski. "Multi-class Classification: A Coding Based Space Partitioning." In Artificial Intelligence and Soft Computing, 593–604. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-07176-3_52.

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Conference papers on the topic "Space-based computing"

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Ling Zhang and Bo Zhang. "Quotient space based multi-granular computing." In 2005 IEEE International Conference on Granular Computing. IEEE, 2005. http://dx.doi.org/10.1109/grc.2005.1547242.

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Yang, Shuling, Suzhi Cao, Junyong Wei, Yi Zhao, Hao Han, and Lei Yan. "Space-Based Computing Platform Based on SoC FPGA." In 2019 IEEE World Congress on Services (SERVICES). IEEE, 2019. http://dx.doi.org/10.1109/services.2019.00049.

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Rui, Zhao, Yu Yongquan, and Cheng Mingjun. "An Extension-Based Quotient Space Computing Model." In 2009 Sixth International Conference on Fuzzy Systems and Knowledge Discovery. IEEE, 2009. http://dx.doi.org/10.1109/fskd.2009.51.

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Zhang, Yanxiang. "Painting Based Enterable Tunnel-Like VR Space." In 2015 International Conference on Culture and Computing (Culture Computing). IEEE, 2015. http://dx.doi.org/10.1109/culture.and.computing.2015.19.

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Dooley, James, Martin Henson, Vic Callaghan, Hani Hagras, Daniyal Al-Ghazzawi, Areej Malibari, Mohammed Al-Haddad, and Abdullah Al-Malaise Al-Ghamdi. "A Formal Model for Space Based Ubiquitous Computing." In 2011 7th International Conference on Intelligent Environments (IE). IEEE, 2011. http://dx.doi.org/10.1109/ie.2011.63.

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Ke Zhang, Jun Luo, and Xilin Chen. "Text similarity computing based on sememe Vector Space." In 2013 IEEE 4th International Conference on Software Engineering and Service Science (ICSESS). IEEE, 2013. http://dx.doi.org/10.1109/icsess.2013.6615289.

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Liang, Yide, Xueli Yu, and Rui Wang. "Triple Space Computing Based Semantic Web Services Communication." In Workshop on Intelligent Information Technology Application (IITA 2007). IEEE, 2007. http://dx.doi.org/10.1109/iita.2007.42.

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McCall, Paul, Gildo Torres, Keith LeGrand, Malek Adjouadi, Chen Liu, Jacob Darling, and Henry Pernicka. "Many-core computing for space-based stereoscopic imaging." In 2013 IEEE Aerospace Conference. IEEE, 2013. http://dx.doi.org/10.1109/aero.2013.6497430.

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Craß, Stefan, and Eva Kühn. "A coordination-based access control model for space-based computing." In the 27th Annual ACM Symposium. New York, New York, USA: ACM Press, 2012. http://dx.doi.org/10.1145/2245276.2232026.

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Wang, Chen, Zhiyuan Ren, Wenchi Cheng, Shuya Zheng, and Hailin Zhang. "Time-Expanded Graph-Based Dispersed Computing Policy for LEO Space Satellite Computing." In 2021 IEEE Wireless Communications and Networking Conference (WCNC). IEEE, 2021. http://dx.doi.org/10.1109/wcnc49053.2021.9417247.

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