Abstract
This paper presents an improvement that cominate the algorithm of edge computation and the Internet of things (IoT) data acuisiton system. Firstly, the environment data acquisition system of the agriculture IoT was analyzed and the distributed data processing approach was proposed to handle the abnormal data. we perform the simply processing of the raw acquisition data via the CC2530 by its spare time computation competence. The results prove our algorithm improve the data acquisition efficiency.
Highlights
In recent years, Internet of things related technologies have developed rapidly
After the combination of cloud computing and Internet of things technology, the measurement data is transmitted to the cloud module in real time by the Internet of things
The advantages of cloud computing combined with mobile Internet of things technology can help users build a relatively powerful data acquisition system
Summary
Internet of things related technologies have developed rapidly. At the technical level and application field, the academic and industrial personnel have done a lot of research and development work. After the combination of cloud computing and Internet of things technology, the measurement data is transmitted to the cloud module in real time by the Internet of things. The advantages of cloud computing combined with mobile Internet of things technology can help users build a relatively powerful data acquisition system. In the working process of a single data acquisition node, accidental faults and data anomalies caused by power supply or sensor module or external factors are inevitable. Cloud processing these single node failures and exceptions will greatly increase the system overhead and affect the synchronization performance of data streams. Reduce noise, detect and eliminate abnormal data, and optimize the quality of data stream
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