计算机应用 ›› 2014, Vol. 34 ›› Issue (7): 2136-2139.DOI: 10.11772/j.issn.1001-9081.2014.07.2136

• 行业与领域应用 • 上一篇    下一篇

基于机会协作的农业物联网大数据处理系统设计

袁芬1,徐从富2   

  1. 1. 浙江长征职业技术学院 计算机与信息技术系,杭州 310023
    2. 浙江大学 计算机科学与技术学院,杭州 310027
  • 收稿日期:2014-01-22 修回日期:2014-03-01 出版日期:2014-07-01 发布日期:2014-08-01
  • 通讯作者: 袁芬
  • 作者简介:袁芬(1981-),女,浙江杭州人,讲师,硕士,主要研究方向:大数据处理;徐从富(1975-),男,浙江开化人,副教授,博士,主要研究方向:信息融合。
  • 基金资助:

    国家自然科学基金资助项目

Big data processing system based on opportunistic cooperation for agricultural Internet of things

FEN Yuan1,XU Congfu2   

  1. 1. Department of Computer and Information Technology, Zhejiang Changzheng Vocational and Technical College, Hangzhou Zhejiang 310023, China;
    2. College of Computer Science and Technology, Zhejiang University, Hangzhou Zhejiang 310027, China
  • Received:2014-01-22 Revised:2014-03-01 Online:2014-07-01 Published:2014-08-01
  • Contact: FEN Yuan

摘要:

针对在农业物联网中通信环境复杂和大数据处理效率低的问题,提出了基于机会协作的自适应大数据处理机制。根据农业物联网应用需求,综合考虑了农业产业环境对无线数据传输的影响建立了跨层交互分析模型,结合机会协作机制和大数据处理需求,设计了大数据处理方案。实验分析和测试表明,所提大数据处理方案在系统吞吐率、可靠性和系统处理性能等方面,表现出了比传统协作机制和数据处理方案更优越的性能。

Abstract:

Aiming at the complex communication environment and low efficiency of big data processing in agricultural Internet Of Things (IOT), a big data processing mechanism was proposed based on the adaptive collaborative opportunities. According to the requirements of agricultural application and the impact of agricultural environment on wireless data transmission, a cross-layer interaction analysis model was established, which was combined with opportunities for collaborative mechanisms and big data processing requirements. Then the design of a large data processing was proposed. Experimental analysis and testing show that the proposed big data processing scheme has better system throughput, reliability, and system processing performance than traditional coordination mechanism and data processing programs.

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