Research Article Open Access
Real-time optical wireless mobile communication with high physical layer reliability Using GRA Method
Vinay Kumar Chunduru1* , Srinivas Gonepally2 , Kishor Kumar Amuda3 , Praveen Kumar Kumbum4 , Vijay Kumar Adari5
*Corresponding author:Vinay Kumar Chunduru, Incredible Software Solutions, Research and Development Division, Richardson, TX, 75080, USA. ; E-mail: @
Received: March 05, 2021; Accepted: April 9, 2021; Published: April 12, 2021
Citation: Vinay Kumar Ch, Srinivas G, Kishor Kumar A, Praveen Kumar K, Vijay Kumar A (2021). Real-time optical wireless mobile communication with high physical layer reliability Using GRA Method. J Comp Sci Appl Inform Technol. 6(1): 1-7. DOI: 10.15226/2474-9257/6/1/00149
AbstractTop
The demand for mobile data communication is escalating, particularly at lower radio frequencies, exacerbating the spectrum crisis due to rapid growth. To address the need for ultra-high data rate mobile communications, utilizing high frequencies such as millimeter waves becomes imperative to tap into spectrum resources effectively. In mobile platform interconnections, the conventional standard of Free Space Optics (FSO) usage presents numerous intriguing challenges within FSO setups, amplifying the complexity of establishing links between mobile platforms. The paper examines barriers within mobile communications, particularly focusing on the connections between platforms and fixed Free Space Optics (FSO) communications. It delves into several key challenges, such as alignment and monitoring issues, investigating the influence of weather on connectivity, and ensuring seamless communication for reliable connections. The feasibility of these connections is also explored as part of the study.In commercial, academic, and military sectors, there’s a continual drive for advancements in system designs, particularly in fiber optic telecommunication. Leveraging Commercial Off-The-Shelf (COTS) technology from various fields, the focus remains on enhancing data rates and utilizing modulation patterns within standard designs. To address existing limitations, this paper presents a novel approach centered around mobile terminals. It introduces an analytical framework tailored for mobile Optical Wireless Communication (OWC) networks, which encompasses capturing channel characteristics. Notably, the downlink utilizes visible light technology, while the uplink relies on infrared light transmission. The communication protocol we’re developing is multi-technological and operates across multiple layers of networking. However, this presents several challenges, particularly in supporting user mobility.

One of the innovative technologies we’re exploring is Optical Camera Communication (OCC).Our proposal involves conducting experimental validations to demonstrate the feasibility and effectiveness of OCC. This includes testing its performance in various scenarios such as sea-mobile connections, land mobile connections, and satellite downlinks.In multi-hop wireless networks, the utilization of Free-Space Optical (FSO) communication technology is imperative. Our approach involves employing FSO widely within these networks. The broader significance of our work lies in its potential to revolutionize Optical Wireless Communication (OWC). However, it’s crucial to note that FSO technology exhibits position sensitivity and may not be suitable for ultra-high throughput mobile communications.In industrial manufacturing settings, there is a growing interest in utilizing Optical Wireless Communication (OWC). As this interest expands, it becomes crucial to address challenging requirements such as reliability and low latency in application. Among the factors influencing this, the correlation coefficient is determined through the use of GRA (Grey Relational Analysis). Additionally, factors impacting food security are being studied, with a focus on a layered and multi-hierarchical architecture, where ISM (Industrial, Scientific, and Medical) frequencies are employed for installation purposes. Infant formula and milk disinfection data in China were analyzed using the GRA-ISM method, incorporating hierarchical analysis. This classical approach expands the utility of the GRA method to new applications. Additionally, the proposed method was illustrated using a case study on Electric Vehicle Charging Stations (EVCS) for site selection. Furthermore, the proposed method was applied to assess the quality of pasteurized milk and to conduct risk assessment, demonstrating the effectiveness of the GRA-HMM method in achieving high accuracy in risk assessment results.Ubiquity Design is got the first rank whereas is the Flexibility is having the Lowest rank.

Keywords:Ubiquity, Flexibility, Accessibility, High Bandwidth and Low Attenuation.
IntroductionTop
The receiver’s effective receiving area, which is significantly smaller than the coverage area, captures only a minor portion of the energy transmitted. This limited energy interception is utilized for gathering information for communication purposes. Consequently, in terms of “energy concentration,” current Visible Light Communication (VLC) systems exhibit high performance but are not conducive to energy-efficient exchanges [1].In varying atmospheric conditions, mobile Free-Space Optical (FSO) communication encounters distinctive challenges. One such obstacle is atmospheric turbulence, which induces refractive variations, essentially creating an ‘air gap’ within the symbol stream. Consequently, the laser beam experiences phase-front distortions due to unpredictable fluctuations in intensity. The essential qualities for mobile FSO systems lie in their low power consumption and lightweight design, which are crucial factors influencing the architecture of network nodes [2].

In the FSOC terminal format, the current obstacle and emphasized area of study revolve around mobile operations within a wireless setting. Paraphrasing this, it involves leveraging accessible channel resources in wireless environments, seeking strategies to maintain stable connections despite potential loss, and addressing the dynamic nature of the mobile FSOC channel, which experiences varying levels of loss and fluctuations in measurements, unlike the more stable conditions found in existing fiber-based optical communication systems [3].Hence, the specifics of the setting and the trajectory and positioning of the user within it are primarily influenced by a blend of the MT-central pathway and variations in channel placements. Given that the wavelength of light spans only a few hundred nanometers, it’s important to note that navigating around obstacles at a macro level through light diffraction is nearly unfeasible [4].Derived from a finite beam, another benefit lies in its compactness, robustness, and confidentiality. The FSOC system’s capability to establish a direct link between two points creates a challenge for potential interception, a feat feasible only under extraordinary circumstances [5].The performance of the light source and mobile receiver in optical camera communication (OCC) is influenced by the distance between them, which affects the intensity of the light signal. Fluctuations in the system further impact its performance. Moreover, when compared to traditional OCC setups, user mobility poses stricter constraints in mobile OCC systems, leading to the introduction of inter-code interference (ISI). This means that interruptions are more likely to occur due to the proximity of every row of pixels to neighboring pixels.

Hence, opting for a mobile OCC system becomes a practical consideration due to these factors [6].It seems like you’re describing a proposed model that involves a random number generator, a low-pass filter, and paraphrasing for ease of implementation and use. This approach is suggested to be accompanied by direct detection using extreme modulation, which is valid for systems only. It’s noted that most commercially available systems use this modulation format, making it acceptable within the proposed model’s limitations [7].In order to advance the efficiency of Free-Space Optical (FSO) communications, it is necessary to engage in simulations for the development of effective Free-Space Modulation Techniques (FMT). These simulations require a channel model, particularly to account for atmospheric conditions impacting the laser beam such as extended ride out effects, which are comprehensively elucidated by existing theoretical frameworks [8].In this paper, a novel optical antenna design is proposed using modular components for enhancing mobile ad hoc wireless networks’ current capabilities for Free Space Optics (FSO) communications. The focus is on determining whether this approach offers superior performance [9].The Optical Wireless Communication (OWC) system proposed in the paper aims to address the demands of high-speed mobile applications by leveraging the advantages of optical transmission in the optical band. OWC, being the largest in the optical band, offers significant bandwidth resources for data transmission. Unlike radio frequency (RF) signals, OWC is not susceptible to electromagnetic interference (EMI), making it suitable for environments where EMI could pose challenges [10].

To facilitate the transmission of control signals, the system offers consistent performance at a lower data rate, along with swift operation in wireless networks and widespread optical communication capabilities. This ensures efficient communication with terminals for axis alignment control, necessitating accurate determination of relative position and orientation [11].In this study on Industrial Communication, we delve into the essential stages involved in developing a prototype tailored to meet specific requirements, ultimately leading to the creation of a real-time Optical Wireless Communication (OWC) system. Furthermore, we explore BMW’s robot experiment, conducted during field trials at the facility, leveraging insights gained from this prototype. Our analysis encompasses not only the initial outcomes but also delves into the benefits and complexities associated with unguided data exchange, while also examining the effects of distortions on the system [12].The cloud radio access network (C-RAN) is expected to play an important role in next-generation mobile networks by improving network performance via coordinated multipoint (CoMP) and increasing network energy efficiency via capacity sharing and optimization [13].Effective communication happens without any alteration. This paper delves into the unpredictable conditions of the atmosphere affecting dependable communication through a channel.

We will investigate the limits of information theory concerning the transmission of lasers and employing direct-detection receivers in a point-to-point, single-user setup while also examining correlations [14].Both LED and laser systems have their own advantages and disadvantages. LED systems generally have higher stability but emit lower optical energy, requiring drive current. On the other hand, laser systems offer various temperatures but may lack stability in aging levels. For last-mile telecommunication, LED systems offer compatibility with mobile platforms, low cost with auto tracking features, as well as being lightweight and low power. Our goal is to develop a system that combines the advantages of both technologies to create an efficient and reliablesolution [15].Increased optical power gains have been observed within the cell’s direction, along with changes in the prominence of noise, the precision of the directional noise source’s beam width, and external noise sources, all contributing to enhancements in current circumstances [16].Wireless radio frequency (RF) communication and optical wireless communication represent two distinct approaches to transmitting data wirelessly. While RF communication operates through electromagnetic waves in the radio frequency spectrum, optical wireless communication utilizes light waves for transmission [17].

This paper introduces an innovative approach to optical communication using SSK Pulse Position Modulation (PPM) alongside Spatial PPM (SPPM). The proposed method involves utilizing a constant optical power for transmitting PPM signals instead of traditional Pulse Amplitude Modulation (PAM). By doing so, the simplicity of SSK and the energy efficiency advantages of PPM are leveraged simultaneously. This strategy aims to enhance the efficiency and reliability of optical communication systems [18].

Materials and MethodTop
Ubiquity:
A condition of being present everywhere simultaneously, or as if present everywhere at the same time. Synonyms include omnipresence and ubiquity

Flexibility:
Adaptability is a benefit of this system, allowing it to easily adjust to different situations. Its flexibility is its advantage. Conversely, the rigidity of the table prevents any adjustments or adaptability.

Accessibility:
To gain entry or utilize a feature, input or possess the necessary qualifications. Touch screen voting machines offer accessibility to individuals with disabilities to fulfill their needs.

High Bandwidth:
If the data link possesses substantial bandwidth, it enables the transmission and reception of larger quantities of data simultaneously. Think of bandwidth akin to a pipe, where its diameter determines the volume of water that can flow through it at any given time. In essence, the greater the bandwidth, the more data can be transferred simultaneously, similar to how a wider pipe allows more water to flow through.

Low Attenuation:
Non-enhanced computed tomography (CT) scans can differentiate low-attenuation renal lesions, identifying those considered benign cysts that do not require additional imaging. However, certain subtypes of renal cell carcinoma (RCC), such as the papillary subtype, may exhibit comparable radiological characteristics.

Coverage:
Coverage refers to the degree or extent of inclusion, indicating the relative value or scope of encompassment. It delineates the breadth or range of coverage.

Security :
Security measures, whether in the form of safety precautions or protective actions, are essential. To ensure the safety of the parade, municipal authorities frequently deploy additional constables. Similarly, a young child may find comfort and a sense of security in holding onto a blanket or stuffed animal.

Bandwidth:
Bandwidth refers to the capacity of a network to transmit data. For instance, if a network has a bandwidth of 40 Mbps, it means that data cannot be transmitted at a speed exceeding 40 Mbps.

Latency:
In the realm of computer networking, latency refers to the duration it takes for a data packet to travel from one specific point to another destination. It represents the time it takes for data to traverse the network.

GRA Method:
Initially, influence is determined through the interaction among factors, where the coefficient is computed via GRA. This process concurrently evaluates the strength of mutual relations and weaknesses. To assess factors affecting food safety, ISM is employed for sorting, facilitating the derivation of key influencing factors [19].The GRA method, developed by Ten gal, serves as a valuable approach for addressing MADM issues. It represents a significant contribution stemming from PIS, emphasizing the assessment of relevant and non-relevant degrees alongside their respective levels of minor ambiguity.

The central objective of this method is to facilitate the selection of the most suitable alternative [20].The findings suggest that employing Hidden Markov Models (HMM) can yield highly accurate results in evaluating food quality and mitigating security risks. These results demonstrate the feasibility of estimating potential risks and implementing proactive measures in food production and management. This allows for timely adjustments and recommendations by research and management departments to ensure food safety and security [21].

The proposed method integrates second subjective and objective information scale weights to determine and evaluate alternatives using gray relational analysis. A case study is provided to illustrate the application of the model. Additionally, comparative analysis and sensitivity analysis are conducted to assess performance [22].The proposed approach involves assessing the network’s performance by comparing specified criteria. It incorporates the Analytic Hierarchy Process (AHP) to assign weights and employs the Grey Relational Analysis (GRA) to rank network alternatives. The GRA method offers several advantages, such as deriving results directly from raw data, simplicity in calculations, and versatility in decision-making within wireless network environments. Ultimately, it stands out as one of the most effective methods for decision-making in such contexts [23].They are linked with every option, showing reluctance to incorporate unclear data.

The Hesitant Fuzzy Weighted Average (HFWA) operator is used to calculate scores, and based on this, they organized the alternatives according to their functionality [24].Gray techniques, including GRA, are valuable tools for decision-making and judgment in situations where traditional methods may be insufficient due to uncertainties or incomplete information. They provide a structured approach to understanding and dealing with complex systems, helping to make predictions and guide actions in the face of ambiguity [25]. Ongoing research is continually advancing design engineering practices. When faced with particular circumstances, making the optimal decision is paramount. Emphasizing design engineering is crucial for achieving desired outcomes. Optimization remains a lucrative field, particularly in mass and force metrology. Spring elements, commonly referred to as characteristic elements, play a significant role in measuring deformation in shaped bodies, serving as a fundamental principle for determining forces. [26]. Thrust force, torque, and delamination factor are three significant performance metrics in drilling operations.

The optimization of drilling processes aims to achieve the best drilling outcomes, often involving parameter adjustments. In this context, the Grey Relational Analysis (GRA) method is utilized to identify optimal parameter settings. It has been observed that axial thrust plays a crucial role in predicting the delamination factor, highlighting its significance as the most influential factor in drilling operations [27].Without compromising fundamental quality, shedding weight could open the door to exerting more force, whether it involves individuals or additional baggage. Furthermore, it boasts a high weight-to-quality ratio and a notable solidity that renders it resistant to vulnerabilities [28].
Ultimately, the gateway is determined by selecting the Gray Relative Degree (GRD) based on correlation analysis (GRA) for each GPD group, alongside the mean rank distribution. The maximum GRD associated with the extreme entry POT model is then chosen as the optimal gateway [29].

Table 1: Mobile and Optical Communication

Table 1. Mobile and Optical Communication

 

Coverage

Security

Bandwidth

Latency

Ubiquity

32.16

150.91

22.17

15.23

Flexibility

22.55

111.15

96.85

89.52

Accessibility

98.56

170.20

55.49

69.42

High Bandwidth

53.62

172.50

36.52

47.22

Low Attenuation

85.75

251.50

89.10

50.16

Figure 1:Mobile and Optical Communication.
Figure 1 shows the Mobile and Optical Communication for Grey relational analysis. Ubiquity, Flexibility, Accessibility, High Bandwidth and Low Attenuation. Coverage, Security, Bandwidth and Latency. From the figure 1 and table 1 it is seen that Accessibility is showing the Highest Value for Coverageand Flexibilityis showing the Lower value. Low Attenuationis showing the Highest Value forSecurity and Flexibility is showing the Lower value. Flexibilityis showing the Highest Value forBandwidth and Ubiquity is showing the Lower value. Flexibilityis showing the Highest Value forLatency and Ubiquityis showing the Lower value.
Table 2: Normalized Data

Table 2. Normalized Data

 

Coverage

Security

Bandwidth

Latency

Ubiquity

0.1264

0.2833

1.0000

1.0000

Flexibility

0.0000

0.0000

0.0000

0.0000

Accessibility

1.0000

0.4207

0.5538

0.2706

High Bandwidth

0.4088

0.4371

0.8078

0.5694

Low Attenuation

0.8315

1.0000

0.1038

0.5298

Table 2 shows the Normalized data forMobile and Optical Communication for Grey relational analysis. Ubiquity, Flexibility, Accessibility, High Bandwidth and Low Attenuation. Coverage, Security, Bandwidth and Latencyit is also the Normalized value.

Table 3: Deviation sequence

Table 3. Deviation sequence

 

Coverage

Security

Bandwidth

Latency

Ubiquity

0.8736

0.7167

0.0000

0.0000

Flexibility

1.0000

1.0000

1.0000

1.0000

Accessibility

0.0000

0.5793

0.4462

0.7294

High Bandwidth

0.5912

0.5629

0.1922

0.4306

Low Attenuation

0.1685

0.0000

0.8962

0.4702

Table 3 shows the Deviation sequence forMobile and Optical Communication. Ubiquity, Flexibility, Accessibility, High Bandwidth and Low Attenuation. Coverage, Security, Bandwidth and Latencyit is also the Maximum or Deviation sequence value.

Figure 2:Normalized data
Figure 2 shows the Normalized data forMobile and Optical Communication for Grey relational analysis. Ubiquity, Flexibility, Accessibility, High Band-width and Low Attenuation. Coverage, Security, Bandwidth and Latencyit is also the Normalized value.
Figure 3:Grey relation coefficient
Figure 3 shows the Grey relation coefficient Mobile and Optical Communication. Ubiquity, Flexibility, Accessibility, High Bandwidth and Low Attenuation. Coverage, Security, Bandwidth and Latencyit is also Calculated the Maximum and minimum Value
Table 4:Grey Relation Coefficient

Table 4. Grey Relation Coefficient

 

Coverage

Security

Bandwidth

Latency

Ubiquity

0.3640

0.4109

1.0000

1.0000

Flexibility

0.3333

0.3333

0.3333

0.3333

Accessibility

1.0000

0.4633

0.5284

0.4067

High Bandwidth

0.4582

0.4704

0.7224

0.5373

Low Attenuation

0.7479

1.0000

0.3581

0.5154

Table 4 shows the Grey relation coefficient Mobile and Optical Communication. Ubiquity, Flexibility, Accessibility, High Bandwidth and Low Attenuation. Coverage, Security, Bandwidth and Latencyit is also Calculated the Maximum and minimum Value.
Table 5: Result of final GRG Rank

Table 5. Result of final GRG Rank

 

GRG

Rank

Ubiquity

0.6937

1

Flexibility

0.3333

5

Accessibility

0.5996

3

High Bandwidth

0.5471

4

Low Attenuation

0.6553

2

Table 5 shows the Result of final GRG Rank of GRA for Mobile and Optical Communication. GRG RankUbiquity is showing the highest value for GRG Rankand Flexibility is showing the lowest value.
Figure 4:GRG
Figure 4 shows the Result of final GRG Rank of GRA for Mobile and Optical Communication. GRG RankUbiquity is showing the highest value for GRG Rankand Flexibility is showing the lowest value
Figure 5:Shown the Rank
Figure 5 shows the Rank of GRA for Mobile and Optical Communication. Ubiquity Design is got the first rank whereas is the Flexibilityis having the Lowest rank.
ConclusionTop
This limited energy interception is utilized for gathering information for communication purposes. Consequently, in terms of “energy concentration,” current Visible Light Communication (VLC) systems exhibit high performance but are not conducive to energy-efficient exchanges. The FSOC system’s capability to establish a direct link between two points creates a challenge for potential interception, a feat feasible only under extraordinary circumstances [5].The performance of the light source and mobile receiver in optical camera communication (OCC) is influenced by the distance between them, which affects the intensity of the light signal. In order to advance the efficiency of Free-Space Optical (FSO) communications, it is necessary to engage in simulations for the development of effective Free-Space Modulation Techniques (FMT).

These simulations require a channel model, particularly to account for atmospheric conditions impacting the laser beam such as extended ride out effects, which are comprehensively elucidated by existing theoretical frameworks. Effective communication happens without any alteration. This paper delves into the unpredictable conditions of the atmosphere affecting dependable communication through a channel. We will investigate the limits of information theory concerning the transmission of lasers and employing direct-detection receivers in a point-to-point, single-user setup while also examining correlations. This process concurrently evaluates the strength of mutual relations and weaknesses. To assess factors affecting food safety, ISM is employed for sorting, facilitating the derivation of key influencing factors [19].

The GRA method, developed by Ten gal, serves as a valuable approach for addressing MADM issues. It represents a significant contribution stemming from PIS, emphasizing the assessment of relevant and non-relevant degrees alongside their respective levels of minor ambiguity. Ultimately, the gateway is determined by selecting the Gray Relative Degree (GRD) based on correlation analysis (GRA) for each GPD group, alongside the mean rank distribution.

ReferencesTop
  1. Zhang, Zaichen, Jian Dang, Liang Wu, Haibo Wang, Jun Xia, Wei Lei, Jiangzhou Wang, and Xiaohu You. "Optical mobile communications: Principles, implementation, and performance analysis." IEEE Transactions on Vehicular Technology 68, no. 1 (2018): 471-482.
  2. Al-Akkoumi, Mouhammad K., Alan Harris, Robert C. Huck, and James J. Sluss Jr. "Challenges facing mobile free-space optical communications." In Atmospheric Propagation VI, vol. 7324, pp. 163-173. SPIE, 2009.
  3. Minch, Jeffrey R., David R. Gervais, and Daniel J. Townsend. "Adaptive transceivers for mobile free-space optical communications." In MILCOM 2006-2006 IEEE Military Communications conference, pp. 1-5. IEEE, 2006.
  4. Wu, Zi-Yang, Muhammad Ismail, Justin Kong, ErchinSerpedin, and Jiao Wang. "Channel characterization and realization of mobile optical wireless communications." IEEE Transactions on Communications 68, no. 10 (2020): 6426-6439.
  5. Juarez, Juan C., Anurag Dwivedi, A. Roger Hammons, Steven D. Jones, VijithaWeerackody, and Robert A. Nichols. "Free-space optical communications for next-generation military networks." IEEE Communications Magazine 44, no. 11 (2006): 46-51.
  6. Shi, Jin, Jing He, Zhongwei Jiang, Yudong Zhou, and Yaoqiang Xiao. "Enabling user mobility for optical camera communication using mobile phone." Optics express 26, no. 17 (2018): 21762-21767.
  7. Ghassemlooy, Zabih, and WasiuOyewolePopoola. "Terrestrial free-space optical communications." Mobile and Wireless Communications Network layer and circuit level design 17 (2010): 355-391.
  8. Epple, Bernhard. "Simplified channel model for simulation of free-space optical communications." Journal of Optical Communications and networking 2, no. 5 (2010): 293-304.
  9. Akella, Jayasri, Chang Liu, David Partyka, Murat Yuksel, Shiv Kalyanaraman, and Partha Dutta. "Building blocks for mobile free-space-optical networks." In Second IFIP International Conference on Wireless and Optical Communications Networks, 2005. WOCN 2005., pp. 164-168. IEEE, 2005.
  10. Zhang, Zaichen, Liang Wu, Jian Dang, Guanghao Zhu, Jiashun Hu, Hao Jiang, and Xiaohu You. "Optical mobile communications: Principles and challenges." In 2017 26th Wireless and Optical Communication Conference (WOCC), pp. 1-4. IEEE, 2017.
  11. Yoshida, Koichi, and Takeshi Tsujimura. "Tracking control of the mobile terminal in an active free-space optical communication system." In 2006 SICE-ICASE International Joint Conference, pp. 369-374. IEEE, 2006.
  12. Berenguer, Pablo Wilke, Peter Hellwig, Dominic Schulz, Jonas Hilt, Gerhard Kleinpeter, Johannes K. Fischer, and Volker Jungnickel. "Real-time optical wireless mobile communication with high physical layer reliability." Journal of Lightwave Technology 37, no. 6 (2019): 1638-1646.
  13. Liu, Xiang, and Frank Effenberger. "Emerging optical access network technologies for 5G wireless." Journal of Optical Communications and Networking 8, no. 12 (2016): B70-B79.
  14. Haas, Shane M., and Jeffrey H. Shapiro. "Capacity of wireless optical communications." IEEE Journal on Selected Areas in communications 21, no. 8 (2003): 1346-1357.
  15. Wang, Xian, Chi Yeh Hsu, and XiaominJin. "Mobile free space optical communication system." In Free-Space Laser Communication Technologies XX, vol. 6877, pp. 55-61. SPIE, 2008.
  16. Valadas, Rui T., and A. M. de Oliveira Duarte. "Sectored receivers for indoor wireless optical communication systems." In 5th IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, Wireless Networks-Catching the Mobile Future., vol. 4, pp. 1090-1095. IEEE, 1994.
  17. Wang, Haibo, Zaichen Zhang, Jian Dang, and Liang Wu. "Optical adaptive antenna array for multiuser mobile optical communication." IEEE Access 7 (2019): 65444-65449.
  18. Popoola, Wasiu O., Enrique Poves, and Harald Haas. "Spatial pulse position modulation for optical communications." Journal of Lightwave Technology 30, no. 18 (2012): 2948-2954.
  19. Lin, Xiaoyong, Shiying Cui, Yongming Han, ZhiqiangGeng, and YanhuaZhong. "An improved ISM method based on GRA for hierarchical analyzing the influencing factors of food safety." Food control 99 (2019): 48-56.
  20. Wei, Guiwu, Jianping Lu, Cun Wei, and Jiang Wu. "Probabilistic linguistic GRA method for multiple attribute group decision making." Journal of Intelligent & Fuzzy Systems 38, no. 4 (2020): 4721-4732.
  21. Han, Yongming, Shiying Cui, ZhiqiangGeng, Chong Chu, Kai Chen, and Yajie Wang. "Food quality and safety risk assessment using a novel HMM method based on GRA." Food Control 105 (2019): 180-189.
  22. Liu, Aijun, XingruGuo, Taoning Liu, Yan Zhang, Sang-Bing Tsai, Qiuyun Zhu, and Chao-Feng Hsu. "A GRA-based method for evaluating medical service quality." IEEE Access 7 (2019): 34252-34264.
  23. Verma, Rajiv, and NirajPratap Singh. "GRA based network selection in heterogeneous wireless networks." Wireless personal communications 72 (2013): 1437-1452.
  24. Li, Xuyang, and Guiwu Wei. "GRA method for multiple criteria group decision making with incomplete weight information under hesitant fuzzy setting." Journal of Intelligent & Fuzzy Systems 27, no. 3 (2014): 1095-1105.
  25. Jana, Chiranjibe, and Madhumangal Pal. "A dynamical hybrid method to design decision making process based on GRA approach for multiple attributes problem." Engineering Applications of Artificial Intelligence 100 (2021): 104203.
  26. Kolhapure, Rakesh, VasudevShinde, and Vijay Kamble. "Geometrical optimization of strain gauge force transducer using GRA method." Measurement 101 (2017): 111-117.
  27. Lei, Fan, Jianping Lu, Guiwu Wei, Jiang Wu, Cun Wei, and YanfengGuo. "GRA method for waste incineration plants location problem with probabilistic linguistic multiple attribute group decision making." Journal of Intelligent & Fuzzy Systems 39, no. 3 (2020): 2909-2920.
  28. Barik, Tarakeswar, Sourav Kumar Jena, ShivrajGahir, Kamal Pal, and Sanat Kumar Pattnaik. "Process parametric optimization in drilling of CFRP composites using GRA method." Materials Today: Proceedings 39 (2021): 1281-1286.
  29. He, Jialong, Xinyue Zhao, Guofa Li, Chuanhai Chen, Zhaojun Yang, Liang Hu, and Zhang Xinge. "Time domain load extrapolation method for CNC machine tools based on GRA-POT model." The International Journal of Advanced Manufacturing Technology 103 (2019): 3799-3812.
 
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