Abstract
To explore the wireless sensor network (WSN) structure, the cooperative WSN architecture of mass data processing based on cloud computing is studied. The technology of WSN and cloud computing is deeply discussed. The system and node structure of WSN are studied by theoretical analysis method, and the performance of the WSN is studied by using the numerical simulation method. The mass data processing technology based on Map Reduce and its application in WSN are discussed. The numerical simulation method is used to experiment on the architecture of SVC4WSN and MD4LWSN. The relationship between the optimal network number and the node communication radius at different node density is verified. Moreover, the energy and time delay Reduce path is compared with three protocols of LEACH, PEGASIS and PEDAP. The results show that the two Reduce paths have better performance in both network survival time and the total time slot of data acquisition.
Highlights
Since twenty-first Century, with the rapid popularization of automatic information generation equipment represented by sensors and intelligent recognition terminals, people can accurately perceive the data of the physical world in real time
The new wireless sensor network (WSN) is combined with cloud computing architecture technology. It is mainly divided into two aspects: first, the cloud computing mass data processing technology is introduced to provide strong support for large-scale WSN data processing; second, for the large-scale WSN itself, the innovative architecture suitable for the massive data processing is put forward, which can better integrate with cloud computing
On the basis of the comprehensive analysis of WSN and cloud computing technology, some suggestions on the architecture of WSN based on cloud computing and the large-scale data processing scheme are put forward
Summary
Since twenty-first Century, with the rapid popularization of automatic information generation equipment represented by sensors and intelligent recognition terminals, people can accurately perceive the data of the physical world in real time. According to the Forrester of the authoritative advisory body, by 2020, the world's interconnected business will reach 30:1 compared to the human communication business; by 2035, the wireless sensor network (WSN) terminal of China will reach hundreds of billions; and by 2050, the sensor will be ubiquitous in life and this is the scale effect of intelligent devices in IoT. The IoT is a network that connects any objects with the Internet for information exchange and communication to realize intelligent identification, location, tracking, monitoring and management of objects through information sensing devices, such as ratio frequency identification, infrared sensors, global positioning systems, and laser scanners. With the large-scale development of WSNs used by the perceptive layer in the IoT, the massive data produced in this network need to be processed in time, and users expect to get more useful information from these data. The research on massive data processing and collaborative WSN architecture has realistic and long-term significance
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