IoT Compressed Perception and Information Interaction Technology in Intelligent Transportation Layout

Authors

  • Yanhao Jing Henan University Minsheng College, Kaifeng, Henan 475000, China
  • Yujie Sun Henan University Minsheng College, Kaifeng, Henan 475000, China

Abstract

This paper provides an in-depth analysis and application of the Internet ofThings (IoT) compressed perception and information interaction technology to intelligent transportation layout, and builds a group intelligence-based traffic management system for event collection and reporting, which significantly shortens the response time of traffic management servers and reduces the communication overhead. Secondly, the real-time traffic management problem is modelled as an optimization problem, taking both global goals and individual utility into account. Finally, a delay-sensitive routing algorithm is proposed to shorten the transmission delay. The algorithm significantly reduces the response time of the system while ensuring efficient message transmission. A dynamic computational task offloading mechanism for efficient data distribution is proposed. This mechanism is the first in existing research to elaborate on the design of in-vehicle fog computing systems. This paper details how to scale the cloud infrastructure using docked and moving vehicles as fog nodes, and optimally models the system task scheduling, using a low-complexity approximation method to solve the optimization problem. The algorithm not only improves the resource utilization of the system and reduces the installation and maintenance cost of fog nodes, but also ensures the task latency constraint. Based on the Kronecker joint observation matrix optimization model, an optimal Kronecker spatiotemporal joint observation matrix solution method is designed, which can minimize the intercorrelation between the observation matrix and
sparse bases, and reduce the autocorrelation of the observation matrix so that the matrix can be adapted to a variety of real-life scenarios, to further improve the performance of the Kronecker spatiotemporal joint observation matrix.

Keywords: Internet of Things, compressed perception, information interaction technology, intelligent transportation layout, applications

Cite As

Y. Jing, Y. Sun, "IoT Compressed Perception and Information Interaction Technology in Intelligent
Transportation Layout", Engineering Intelligent Systems, vol. 29 no. 5, pp. 301-311, 2021.



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Published

2021-09-01

Issue

Vol. 29 No. 5 (2021): International Journal of Engineering Intelligent Systems

Section

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