Cloud-Based Large-Scale Sensor Networks: Motivation, Taxonomies, and Open Challenges
Recently, the integration of ubiquitous wireless sensor network (WSN) and powerful cloud computing (CC) has attracted growing attention and efforts in both academic and industry. In this new paradigm, cloud computing can be exploited to perform analysis of online as well as offline data streams provided by sensor networks. This can help to deal with the inherent limitations of WSN in combining and analyzing of the heterogeneous large number of sensory data. The study we present in this paper provides a comprehensive analysis and discussion of the representative works on large-scale WSNs, the need for integrating sensor with the cloud, the main challenges deriving from such integration, and future research directions in this promising field.
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