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。
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 reqttirements 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.
出处
《计算机应用》
CSCD
北大核心
2014年第7期2136-2139,共4页
journal of Computer Applications
基金
国家自然科学基金资助项目(61101235)
关键词
农业物联网
大数据
机会协作
系统设计
agricultural Internet of things
big data
opportunistic cooperation
system design
