Education, Science, Technology, Innovation and Life
Open Access
Sign In

Multi-computer Communication Reliability Evaluation System Based on 8051 Microcontroller

Download as PDF

DOI: 10.23977/acss.2023.070605 | Downloads: 69 | Views: 465

Author(s)

Xiang Tang 1, Ying Yao 1, Zheng Yu 1, Lijie Liu 1

Affiliation(s)

1 School of Electrical and Automation Engineering, Liaoning Institute of Science and Technology, Benxi, Liaoning, 117004, China

Corresponding Author

Ying Yao

ABSTRACT

With the progress of society, people have higher and higher requirements for the quality of life, and electronic products play an important role in daily life. Among them, single-chip control has become a key factor to measure the quality of products and work. This paper mainly introduces the reliability evaluation system of timing communication based on 8051 microcontroller series, taking 8051 microcontroller as the core to realize the data transmission and processing process, and using modular structure to carry out circuit simulation, hardware welding and other steps to complete the debugging of various chips and related software programs. This paper also displays the experimental results and test results on the physical object. The test results show that the reliability of the system is up to more than 90%. It has been proved by many times that this function can achieve good results with high stability and high transmission efficiency.

KEYWORDS

8051 Microcontroller, Multi-computer Communication, Reliability Evaluation, System Analysis

CITE THIS PAPER

Xiang Tang, Ying Yao, Zheng Yu, Lijie Liu, Multi-computer Communication Reliability Evaluation System Based on 8051 Microcontroller. Advances in Computer, Signals and Systems (2023) Vol. 7: 36-44. DOI: http://dx.doi.org/10.23977/acss.2023.070605.

REFERENCES

[1] Yousef O. Sharrab, Izzat Alsmadi, Nabil J. Sarhan. Towards the availability of video communication in artificial intelligence-based computer vision systems utilizing a multi-objective function. Clust. Comput. 25(1). 231-247 (2022). 
[2] A. Durgadevi, N. Shanmugavadivoo. Availability Capacity Evaluation and Reliability Assessment of Integrated Systems Using Metaheuristic Algorithm. Comput. Syst. Sci. Eng. 44(3). 1951-1971 (2023). 
[3] Liang Chen, Jianpeng Qi, Xiao Su, Rui Wang. REMR. A Reliability Evaluation Method for Dynamic Edge Computing Network under Time Constraint. IEEE Internet Things J. 10(5). 4281-4291 (2023). 
[4] Alessandro Barbiero, Asmerilda Hitaj. Approximation of continuous random variables for the evaluation of the reliability parameter of complex stress-strength models. Ann. Oper. Res. 315(2). 1573-1598 (2022). 
[5] Thi-Phuong Nguyen. Evaluation of network reliability for stochastic-flow air transportation network considering discounted fares from airlines. Ann. Oper. Res. 311(1). 335-355 (2022). 
[6] Yaru Liu, Lei Wang, Dongliang Liu. Uncertain dynamic topology optimization based on the interval reliability evaluation and equivalent static loads (ESLs) algorithm. Eng. Comput. 38(6). 5657-5674 (2022). 
[7] Abhijit Bora, Subhash Medhi, Tulshi Bezboruah.Reliability evaluation for deployment of multi service multi-functional service oriented computing based on different techniques. Int. J. Adv. Intell. Paradigms 22(3/4). 362-378 (2022). 
[8] Genshen Liu, Peitang Wei, Kerui Chen, Huaiju Liu, Zehua Lu. Polymer gear contact fatigue reliability evaluation with small data set based on machine learning. J. Comput. Des. Eng. 9(2). 583-597 (2022). 
[9] Corrado De Sio, Sarah Azimi, Luca Sterpone. FireNN. Neural Networks Reliability Evaluation on Hybrid Platforms. IEEE Trans. Emerg. Top. Comput. 10(2). 549-563 (2022). 
[10] Lechang Yang, Pidong Wang, Wenhua Zhao, Chenxing Wang, Xiuli Wu, Matthias G. R. Faes.On investigation of the Bayesian anomaly in multiple imprecise dependent information aggregation for system reliability evaluation. Int. J. Intell. Syst. 36(6). 2895-2921 (2021). 
[11] Seyedsalar Sefati, Maryamsadat Mousavinasab, Roya Zareh Farkhady.Load balancing in cloud computing environment using the Grey wolf optimization algorithm based on the reliability. performance evaluation. J. Supercomput. 78(1). 18-42 (2022). 
[12] Lanlan Rui, Xushan Chen, Xiaomei Wang, Zhipeng Gao, Xuesong Qiu, Shangguang Wang.Multiservice Reliability Evaluation Algorithm Considering Network Congestion and Regional Failure Based on Petri Net. IEEE Trans. Serv. Comput. 15(2). 684-697 (2022). 
[13] Mengjie Lv, Baolei Cheng, Jianxi Fan, Xi Wang, Jingya Zhou, Jia Yu.The Conditional Reliability Evaluation of Data Center Network BCDC. Comput. J. 64(9). 1451-1464 (2021). 
[14] Thanatheepan Balachandran, Arun-Kaarthick Manoharan, Visvakumar Aravinthan, Chanan Singh. Component-Level Reliability Evaluation Model for Cyber Power Devices. IEEE Trans. Smart Grid 12(1). 692-703 (2021). 
[15] Anna Engelmann, Admela Jukan.A Combinatorial Reliability Analysis of Generic Service Function Chains in Data Center Networks. ACM Trans. Model. Perform. Evaluation Comput. Syst. 6(3). 9.1-9.24 (2021). 
[16] Osama Aslam Ansari, C. Y. Chung, Enrico Zio.A Novel Framework for the Operational Reliability Evaluation of Integrated Electric Power-Gas Networks. IEEE Trans. Smart Grid 12(5). 3901-3913 (2021). 
[17] Anis Yazidi, Hugo Lewi Hammer, Konstantin E. Samouylov, Enrique Herrera-Viedma.Game-Theoretic Learning for Sensor Reliability Evaluation Without Knowledge of the Ground Truth. IEEE Trans. Cybern. 51(12). 5706-5716 (2021). 
[18] Rohit Sharma, Raghuraj Singh.Performance evaluation and reliability analysis of predictive hardware failure models in cloud platform using ReliaCloud-NS. Int. J. Cloud Comput. 10(3). 207-224 (2021). 
[19] Manabu Mikami, Koichi Serizawa, Kohei Moto, Hitoshi Yoshino.Field Evaluation of 5G Low Latency and High Reliability Vehicle-to-Vehicle Direct Communication for Application to Truck Platooning. IEICE Trans. Commun. 104-B(9). 1026-1034 (2021). 
[20] Milos Milovancevic, Aleksandar Dimov, Kamen Boyanov Spasov, Ljubomir Vracar, Miroslav Planic.Neuro-Fuzzy Evaluation of the Software Reliability Models by Adaptive Neuro Fuzzy Inference System. J. Electron. Test. 37(4). 439-452 (2021).

Downloads: 13804
Visits: 261758

Sponsors, Associates, and Links


All published work is licensed under a Creative Commons Attribution 4.0 International License.

Copyright © 2016 - 2031 Clausius Scientific Press Inc. All Rights Reserved.