Abstract

In this paper, we conduct an in-depth study and analysis of the suitability of real-time wireless sensor network-assisted smart tourism environment for tourism IoT and evaluate its suitability. We use nodes in wireless sensor networks as relays and collaborative transmission using mutual information accumulation. Using riteless codes, nodes can accumulate information in advance to decode out the original text. Due to the mobility of mobile robots, the planned routing paths can fail quickly, so we propose a dynamic mutual information accumulation collaborative transmission algorithm. For both cases of information transmission from the cloud to the robot and from the robot to the cloud, we dynamically acquire routing paths using neighbour search and chance transmission, respectively. Experimental results show that our dynamic mutual information accumulation collaborative transfer algorithm has lower time complexity and latency. We use a cooperative transmission algorithm with mutual information accumulation, because wireless transmission has the nature of broadcasting, and all neighbour nodes can receive part of the information when the sender starts to transmit information. Riteless codes are used in single-hop transmissions to improve the probability of successful transmissions. Since transmission failure requires waiting for the next neighbour to wake up, which consumes a lot of energy and time in a low duty cycle environment, using riteless codes to improve the transmission success rate of single-hop transmissions can effectively improve the global transmission efficiency. Experimental results show that the opportunity routing algorithm using riteless codes has lower delay and energy consumption. The two major systems, surface, and underground are used to quantitatively measure 23 indicators in five subsystems, including geological environment, soil and water environment, sensitive geological bodies, groundwater resources, and mineral resources, to evaluate the two-way grade of underground space development suitability, revealing the comprehensive bearing characteristics of the study area with an overall high bearing capacity of underground space resources and environment and an overall surplus of bearing status.

Highlights

  • Along with the steady growth in the income of urban and rural residents and the continuous improvement of the holiday system, leisure and vacation tourism has become increasingly acceptable to the people, and China is moving into the era of mass tourism

  • Our algorithm 4.1, on the other hand, tends to choose consecutive nodes to better exploit the advantages of information accumulation

  • If we take the four quadrants formed by the intersection of these three axes as the main spatial units, we can find that the tourism space is mainly

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Summary

Introduction

Along with the steady growth in the income of urban and rural residents and the continuous improvement of the holiday system, leisure and vacation tourism has become increasingly acceptable to the people, and China is moving into the era of mass tourism. On the other hand, compared with developed countries, China’s lake and reservoir resort tourism started late and developed slowly, and there are a series of problems, such as inaccurate positioning, vague market image, disorderly product development, sloppy operation, low economic efficiency, and serious pollution of lake water bodies. This is directly related to the current lack of guidance for systematic research on lake and reservoir-type tourism resorts [3]. In mobile robot-cloud communication, from the cloud to the mobile robot and from the mobile robot to the cloud will be two topological models that need to be discussed separately

Status of Research
Results and Analysis
Results of Smart Tourism Environmental Suitability Evaluation
Conclusion
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