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A wireless sensor network (WSN) is a large collection of sensor nodes with limited power supply and constrained computational capability. Clustering routing method in wireless sensor networks has been considered as an important field of research recently to prolong the network lifetime of WSNs. We present a novel clustering method that can balance the energy consumption and extend the lifetime of WSN. Network nodes can be divided into densely connected subgroups through the algorithm of detecting community structure in complex networks. Moreover, the role of cluster-head is scheduled among the cluster members according to the residual energy of nodes, and then the cluster heads send the data to the sink directly. Based on the community clustering strategy, a novel routing protocol, called community structure clustering routing protocol (CSCR), has been raised for WSN. Performance evaluation has shown that the proposed method can achieve improvement compared with LEACH and SEP.

With the rapid growth of manufacturing data, it is becoming an important issue to collect, manage, analyze and utilize the big data of manufacturing generated in the cloud manufacturing services mode. In order to solve the above problems, the characteristics of the big data and the difference from traditional manufacturing data were analyzed first. Then, the core technologies of manufacturing big data cloud service platform were grouped into a roadmap which was the guidance for research hierarchy. The platform architecture were also discussed to give an overall solution for each part and based on this platform a kind of application scenario was proposed. Thereby novel construction thinking for basic application mode of cloud manufacturing service based on manufacturing big data was provided.

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