Abstract
To explore big data processing and its application in wireless sensor network (WSN), this paper studies structural construction of the WSN based on big data processing, and numerically simulates SVC4WSN and MDF4LWSN architectures. Moreover, the relationship between the optimal network layer and node communication radius was verified at different node densities. The results indicate that the proposed model achieved better lifecycle and loading balancing effect than the other network.
Highlights
The wireless sensor network (WSN) and its application have become hotspots in in the academic circle
The big data processing was introduced based on cloud computing, aiming to support the data processing of large-scale WSN; an innovative structure of the large-scale WSN was presented for better integration of big data processing with cloud computing
In the structural design of a large-scale WSN, the key problems are the management of sensor resources and computing resources, and the storage and processing of the data generated by sensor networks
Summary
The wireless sensor network (WSN) and its application have become hotspots in in the academic circle. Typical information strategies for the WSN include Wisdom of the Earth (US), U-Japan, U-Korea, the Digital Agenda for Europe, and Perception of China. With the proliferation of the network, the information technology has been extensively applied in various fields, exerting a profound impact on all aspects of the national economy and social life. If the current trend continues, the information industry is bound to transcend to the fields of overall perception and intelligent application. The research on the management and processing of WSN data is still far from enough. The WSN management software is combined with the cloud storage platform of big data to explore WSN data management and processing
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