Journal on Communications ›› 2015, Vol. 36 ›› Issue (12): 57-76.doi: 10.11959/j.issn.1000-436x.2015315

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Survey on the search of Internet of Things

Yun-quan GAO1,2,Xiao-yong LI1,Bin-xing FANG1   

  1. 1 Key Laboratory of Trustworthy Distributed Computing and Service,Ministry of Education,Beijing University of Posts and Telecommunications,Beijing 100876,China
    2 School of Computer Science and Technology,Anhui University of Technology,Ma'anshan 243032,China
  • Online:2015-12-25 Published:2017-07-17
  • Supported by:
    The National Natural Science Foundation of China;Fok Ying Tung Education Foundation;Program for New Century Excellent Talents in University;Anhui University of Technology Youth Fund

Abstract:

With the popularization and development of the Internet of Things,the search of Internet of Things urgently needs to be solved in academia and industry and becomes a hot research topic.With the increasing data generated by sensors,only the search of IoT makes this data valuable.However,different from the traditional Internet search engines (such as Baidu,Google,Bing,Yahoo,etc),the search of IoT has different search objects and search architecture and data in the Internet of Things are massive,real-time,highly dynamic,heterogeneous,highly insecure.The above characteristics make search of IoT face more challenges.Firstly,the concept,characteristics,related technologies of search of IoT were summarized and presented.Secondly,several typical systems and related algorithms were described in detail.Finally,the current problems,the challenges and research prospects of this field for future were presented

Key words: Internet of Things, search engine, survey, intention understanding, context awareness

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