Welcome to Scholar Publishing Group

Distributed Processing System, 2022, 3(3); doi: 10.38007/DPS.2022.030303.

Implementation of Device Joining Technology in Distributed System Based on Information Transfer Algorithm


Porter Bryony

Corresponding Author:
Porter Bryony

CiItalian Aerosp Res Ctr, Adapt Struct Dept, I-81043 Capua, Italy


With the continuous development and popularization of computer network applications, various ideas, theories, technologies and products related to the network emerge in an endless stream. The application of network in many fields such as industrial control, commercial activities, and daily life is becoming more and more frequent, and its role is becoming increasingly important. The purpose of this paper is to research and implement the technology of adding distributed system equipment based on the message passing algorithm, and propose a receiver scheme that introduces parallel computing in the clustered message passing algorithm (CMPA), optimizes the pruning rule and iterative update rule. According to the idea of reducing the number of iterations of the edge message passing algorithm (PM-MPA), a method is proposed by verifying that the confidence information of a certain codeword is much larger than that of other codewords. When the number of iterations of the receiver is reduced, the video monitoring equipment is added to the distributed system, and the remote and multi-point network video monitoring of the scene is realized. Through the simulation results, it can be found that Max-Log PMPA can reduce the complexity of Max-Log MPA by 65% when the overload rate is 200%. Therefore, when the overload is high, the advantages of Max-Log PMPA parallelism are even greater.


Information Transfer Algorithm, Distributed System, Device Joining Technology, PMPA Algorithm

Cite This Paper

Porter Bryony. Implementation of Device Joining Technology in Distributed System Based on Information Transfer Algorithm. Distributed Processing System (2022), Vol. 3, Issue 3: 18-25. https://doi.org/10.38007/DPS.2022.030303.


[1] Kakita R, Palukuri V B. IJRTE-ICETESM21-2019. International Journal of Recent Technology and Engineering, 2021, 7(ICETESM18):86-90.

[2] Shafiabadi M H, Souri A, Ghasempour A, et al. A security-based asymmetric cryptographic algorithm to improve IEEE802.11i protocol. International Journal of Information Technology, 2019, 11(4):821-827.

[3] Efimenko D, Bogumil V, Vlasov V, et al. Priority Transfer Management Algorithm, Based on Interaction of the Public Transport Dispatch Systems Information and Traffic Lights Control. Transport and Telecommunication Journal, 2018, 19(4):315-324.

[4] Bhardwaj R. Hiding patient information in medical images : an encrypted dual image reversible and secure patient data hiding algorithm for E-healthcare. Multimedia Tools and Applications, 2022, 81(1):1125-1152.

[5] Khani A. An online shortest path algorithm for reliable routing in schedule-based transit networks considering transfer failure probability. Transportation Research Part B: Methodological, 2019, 126(AUG.):549-564.

[6] Grassi M, Loewenstein D A, Caldirola D, et al. A clinically-translatable machine learning algorithm for the prediction of Alzheimer's disease conversion: Further evidence of its accuracy via a transfer learning approach. International Psychogeriatrics, 2018, 31(7):1-9.

[7] Gaddam S, Lobial D K, Lal M. An Efficient Intelligent Time Slice Based Round Robin Scheduling Algorithm for ATM Using ISBP. Wireless Personal Communications, 2022, 122(1):1-21.

[8] Choi Y, Shin D B, Kim J, et al. Passive Microwave Precipitation Retrieval Algorithm With $A~Priori$ Databases of Various Cloud Microphysics Schemes: Tropical Cyclone Applications. IEEE Transactions on Geoscience and Remote Sensing, 2020, 58(4):2366-2382.

[9] Hyeon-Kyun, Lee, Yong-Jun, et al. A clipping algorithm on non-conformal interface for heat conduction analysis. Journal of Mechanical Science and Technology, 2019, 33(11):5537-5546.

[10] Janakiraman S. An enhanced hybrid Pareto metaheuritic algorithm-based multicast tree estimation for reliable multicast routing in VANETs. APTIKOM Journal on Computer Science and Information Technologies, 2020, 3(3):100-105.

[11] Amini S M, Karimi A. Two-level distributed clustering routing algorithm based on unequal clusters for large-scale Internet of Things networks. The Journal of Supercomputing, 2020, 76(3):2158-2190.

[12] Gheisari M, Alzubi J, Zhang X, et al. A new algorithm for optimization of quality of service in peer to peer wireless mesh networks. Wireless Networks, 2019, 26(7):4965-4973.

[13] Burggraf J, Uhrmann T, Pires M. Collective Die Bonding: An Enabling Toolkit for Heterogeneous Integration. ECS Transactions, 2020, 98(4):173-180.

[14] Hood R L, Johnson S A, Lauby R S, et al. A Market Review of Available Airway Suction Technology. Prehospital and Disaster Medicine, 2022, 37(3):390-396.

[15] Fehri C E, Baccour N, Kammoun I. Performance evaluation of the Over-The-Air activation procedure in a large scale LoRaWAN. Wireless Networks, 2022, 28(6):2455-2470.

[16] Farias G, Fabregas E, I Martínez, et al. Nuclear Fusion Pattern Recognition by Ensemble Learning. Complexity, 2021, 2021(3A):1-9.

[17] Eneman G, Veloso A, Favia P, et al. (Invited) Stress Simulations of Fins, Wires, and Nanosheets. ECS Transactions, 2020, 98(5):253-265.

[18] Salama R, Uzunboylu H, Alkaddah B. Distance learning system, learning programming languages by using mobile applications. New Trends and Issues Proceedings on Humanities and Social Sciences, 2020, 7(2):23-47.