{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,12]],"date-time":"2026-03-12T03:53:36Z","timestamp":1773287616132,"version":"3.50.1"},"reference-count":24,"publisher":"Wiley","license":[{"start":{"date-parts":[[2021,10,27]],"date-time":"2021-10-27T00:00:00Z","timestamp":1635292800000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Comprehensive Key Laboratory of Sports Ability Evaluation and Research of the General Administration of Sport of China","award":["2018YFF0300603"],"award-info":[{"award-number":["2018YFF0300603"]}]},{"name":"Beijing Key Laboratory of Sports Function Assessment and Technical Analysis","award":["2018YFF0300603"],"award-info":[{"award-number":["2018YFF0300603"]}]},{"name":"State Key R&D Program","award":["2018YFF0300603"],"award-info":[{"award-number":["2018YFF0300603"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Mobile Information Systems"],"published-print":{"date-parts":[[2021,10,27]]},"abstract":"<jats:p>As a new tourism industry model, the ice and snow sports tourism industry has played an increasingly important role in the development of China\u2019s entire tourism industry. This paper analyzes the structural optimization of the ice and snow sports industry chain based on sensor network communication and artificial intelligence and aims to fully apply sensor network communication and artificial intelligence technology to the development of the ice and snow sports industry. Let us look for an optimized method to promote the development of the ice and snow sports industry chain structure. This paper conducts a research on the optimization of the ice and snow sports industry chain structure based on sensor network communication and artificial intelligence. In the method part, this article explains the architecture of sensor nodes and networks, uses the long-term monitoring of wireless sensor networks and the flexibility of the data acquisition structure, combined with the superiority of artificial intelligence in information processing and analysis, to obtain and analyze the experimental data of this research, and introduces the specific content of artificial intelligence and the ice and snow sports industry. In the algorithm, the grey relational analysis method is introduced. In the part of the experimental results, experiments were carried out on the ice and snow city resources, competitive advantages, the quarterly average value of the ice and snow sports enterprise prosperity index, ice and snow sports venues, GDP, and the speed comparison and structure of the development of the sports industry, and simulation experiments were carried out from the perspective of sensors. On the whole, the development curve of China\u2019s ice and snow sports industry basically conforms to the economic development curve. With the slowdown of GDP growth rate, the growth rate of the sports industry slowed down simultaneously. However, despite the continued decline in economic growth, the sports industry has ushered in a peak of development, with a growth rate of 89.45%, a year-on-year increase of 69.3 percentage points. This phenomenon shows that the sports industry has sufficient endogenous development momentum and huge development potential. It is an important driving force and emerging growth point of the economic society and modern services. It has a comprehensive driving role in stimulating urban consumption, promoting economic transformation and upgrading, and driving the development of the service industry.<\/jats:p>","DOI":"10.1155\/2021\/7267006","type":"journal-article","created":{"date-parts":[[2021,10,27]],"date-time":"2021-10-27T22:20:10Z","timestamp":1635373210000},"page":"1-10","source":"Crossref","is-referenced-by-count":5,"title":["Optimization of Ice and Snow Sports Industry Chain Structure Based on Sensor Network Communication and Artificial Intelligence"],"prefix":"10.1155","volume":"2021","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6464-0400","authenticated-orcid":true,"given":"Xingxing","family":"Li","sequence":"first","affiliation":[{"name":"Graduate School, Capital University of Physical Education and Sport, Beijing 100191, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lulu","family":"Song","sequence":"additional","affiliation":[{"name":"College of P.E and Sports, Beijing Normal University, Beijing 100191, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hao","family":"Wu","sequence":"additional","affiliation":[{"name":"Research Department, Capital University of Physical Education and Sport, Beijing 100191, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yongan","family":"Wang","sequence":"additional","affiliation":[{"name":"The Faculty of Physical Education, China West Normal University, Nanchong 637009, Sichuan, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","reference":[{"issue":"17","key":"1","doi-asserted-by":"crossref","first-page":"12109","DOI":"10.1016\/j.jfranklin.2020.08.005","article-title":"Coverage control for mobile sensor networks with time-varying communication delays on a closed curve","volume":"357","author":"Q. 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