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For the characteristics of wireless sensor networks, combined the knowledge discover theory of data mining and knowledge application theory of data fusion, to set a unique integrated information treatment model based on neural-network based aggregation. The model is effective on saving wireless sensor energy consumption, extends net life, and is applicable to a variety of wireless sensor networks.
TinyOS is an open-source operating system, using Component Description Language NesC for development. TinyOS is designed mostly for wireless sensor network, in which nodes have very limited resources. A representative scheduling mechanism in TinyOS is analyzed and its shortcomings are listed in this paper. An improved design of the priority-based soft real-time task scheduling strategy is proposed...
This paper analyses three existing methods of WSN data storage. Based on disadvantage of data-centric storage(DCS), the shortest path first of DCS(SPF-DCS) is present. Compared to DCS, the advantage of this method is that home node finds only one node as its own replica node. SPF-DCS can reduce communication between home node and other nodes, decrease the power consumption of node and prolong lifetime...
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