Application of Internet of Things and Edge Computing Technology in Sports Tourism Services | Zendy

Benxia Zheng | Zendy; Zheng Mei | Zendy; LiangYu Hou | Zendy; Shuoli Qiu | Zendy

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Application of Internet of Things and Edge Computing Technology in Sports Tourism Services

Author(s) -

Benxia Zheng,

Zheng Mei,

LiangYu Hou,

Shuoli Qiu

Publication year - 2021

Publication title -

security and communication networks

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.446

H-Index - 43

eISSN - 1939-0114

pISSN - 1939-0122

DOI - 10.1155/2021/9980375

Subject(s) - tourism , computer science , service (business) , sports tourism , the internet , consumption (sociology) , energy consumption , enhanced data rates for gsm evolution , sport management , business , world wide web , marketing , tourism geography , telecommunications , public relations , political science , ecology , social science , sociology , law , biology

Aiming at the problems of long retrieval time of sports tourism data, high integration error of sports tourism data, and high energy consumption of sports tourism service management in traditional methods, the application of Internet of +ings and edge computing technology in sports tourism services is proposed. We established a sports tourism service application model based on Internet technology to realize the functions of sports tourism service internal management control, external collaboration, and information release. We calculated the similarity of sports tourism resources from the two levels of feature words and the environment where the sports tourism resources are located. According to the calculation results, the edge computing method is used to realize the integration of sports tourism service resources to improve the application effect of sports tourism service applicationmodels.+e experimental results show that the minimum data retrieval time of the proposedmethod is only 2.35s.+e sports tourism data fusion error is low. +e management energy consumption is small, which significantly improves the existing problems and fully verifies the practical application value of the method.

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