Title: Research on algorithm of information transmission path planning in big data environment

Authors: Yunfan Lu; Zhenjia Zhu; Xu Tan

Addresses: School of Software Engineering, Shenzhen Institute of Information Technology, Shenzhen 518172, China ' School of Software Engineering, Shenzhen Institute of Information Technology, Shenzhen 518172, China ' School of Software Engineering, Shenzhen Institute of Information Technology, Shenzhen 518172, China

Abstract: The information transmission path planning is conducive to the improvement of efficiency of information transmission, which matches requests of development of era. However, most of the information transmission path plans select transmission paths based on ID format. Although this algorithm can make nodes in big data environment reach the optimal path of sink node, it has high computational complexity. Therefore, an information transmission path planning algorithm based on an ingress-priority under big data environment is proposed. Based on this algorithm, a method for evaluating the information transmission path planning is obtained. Then analysis model of the information transmission path planning is constructed. Based on these, dynamic information transmission path planning is implemented by utilising priority multi-actuators. Experiments show that our proposed method can effectively improve the efficiency of information transmission path planning, ensure the accuracy of information after transmission and improve the quality of information transmission. Therefore, our proposed method is significant in application.

Keywords: big data; information transmission; path planning; internet manufacturing; internet services.

DOI: 10.1504/IJIMS.2020.105036

International Journal of Internet Manufacturing and Services, 2020 Vol.7 No.1/2, pp.50 - 63

Received: 18 May 2018
Accepted: 24 Jul 2018
Published online: 11 Feb 2020 *

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