Realizing the Potential of Internet of Things for Smart Tourism with 5G and AI

被引：175

作者：

Wang, Wei ^{[1
,2
,3
]}

Kumar, Neeraj ^{[5
,6
]}

Chen, Junxin ^{[4
,7
]}

Gong, Zhiguo ^{[4
]}

Kong, Xiangjie ^{[8
]}

Wei, Wei ^{[9
]}

Gao, Honghao ^{[10
]}

机构：

[1] Univ Macau, State Key Lab Internet Things Smart City, Macau 999018, Peoples R China

[2] Univ Macau, Dept Comp & Informat Sci, Macau 999018, Peoples R China

[3] Macau Univ Technol, Fac Informat Technol, Macau, Peoples R China

[4] Univ Macau, Dept Comp & Informat Sci, Macau, Peoples R China

[5] Thapar Inst Engn & Technol, Patiala, Punjab, India

[6] Univ Petr & Energy Studies, Sch Comp Sci, Asia Univ Taiwan, Dehra Dun, Uttarakhand, India

[7] Northeastern Univ, Coll Med & Biol Informat Engn, Shenyang, Peoples R China

[8] Zhejiang Univ Technol, Coll Comp Sci & Technol, Hangzhou, Peoples R China

[9] Xian Univ Technol, Sch Comp Sci & Engn, Xian, Peoples R China

[10] Shanghai Univ, Shanghai, Peoples R China

来源：

IEEE NETWORK | 2020年 / 34卷 / 06期

基金：

中国博士后科学基金; 国家重点研发计划;

关键词：

5G mobile communication; Internet of Things; Artificial intelligence; Real-time systems; Smart cities; Tourism industry; Big Data;

D O I：

10.1109/MNET.011.2000250

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

With the development of communication and information technologies, smart tourism is gradually changing the tourism industry. internet of Things (ioT) plays an important role in smart tourism. However, it is a challenge to apply ioT for smart tourism because of the need for dealing with a vast amount of data and low-latency communication. To this end, in this article, we outline 5G and Ai-empowered ioT systems for smart tourism. Efficient data transmission based on 5G technology and smart data processing based on Ai technology are significant to unlocking ioT based smart tourism applications. To demonstrate the superior performance of our proposed method, we perform a case study on POi recommendation. The experiment results demonstrate the efficiency and effectiveness of our proposed method.

引用

页码：295 / 301

页数：7

共 15 条

[1] Technology in tourism-from information communication technologies to eTourism and smart tourism towards ambient intelligence tourism: a perspective article
Buhalis, Dimitrios
[J]. TOURISM REVIEW, 2020, 75 (01) : 267 - 272
[2] A Comprehensive Survey of Graph Embedding: Problems, Techniques, and Applications
Cai, HongYun
Zheng, Vincent W.
Chang, Kevin Chen-Chuan
[J]. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2018, 30 (09) : 1616 - 1637
[3] Feng SS, 2017, AAAI CONF ARTIF INTE, P102
[4] Smart tourism: foundations and developments
Gretzel, Ulrike
Sigala, Marianna
Xiang, Zheng
Koo, Chulmo
[J]. ELECTRONIC MARKETS, 2015, 25 (03) : 179 - 188
[5] Griesner Jean -Benoit, 2015, Proceedings of the 9th ACM Conference on Recommender Systems, P301, DOI [10.1145/2792838.2799679, DOI 10.1145/2792838.2799679]
[6] Smart tourism technologies in travel planning: The role of exploration and exploitation
Huang, C. Derrick
Goo, Jahyun
Nam, Kichan
Yoo, Chul Woo
[J]. INFORMATION & MANAGEMENT, 2017, 54 (06) : 757 - 770
[7] Intelligence in IoT-Based 5G Networks: Opportunities and Challenges
Javaid, Nadeem
Sher, Arshad
Nasir, Hina
Guizani, Nadra
[J]. IEEE COMMUNICATIONS MAGAZINE, 2018, 56 (10) : 94 - 100
[8] Artificial Intelligence in the 21st Century
Liu, Jiaying
Kong, Xiangjie
Xia, Feng
Bai, Xiaomei
Wang, Lei
Qing, Qing
Lee, Ivan
[J]. IEEE ACCESS, 2018, 6 : 34403 - 34421
[9] Intelligent Edge Computing for IoT-Based Energy Management in Smart Cities
Liu, Yi
Yang, Chao
Jiang, Li
Xie, Shengli
Zhang, Yan
[J]. IEEE NETWORK, 2019, 33 (02): : 111 - 117
[10] Spatiotemporal Representation Learning for Translation-Based POI Recommendation
Qian, Tieyun
Liu, Bei
Quoc Viet Hung Nguyen
Yin, Hongzhi
[J]. ACM TRANSACTIONS ON INFORMATION SYSTEMS, 2019, 37 (02)

← 1 2 →