The smart-house technology aims to increase home automation and security with reduced energy consumption. A smart house consists of various intelligent sensors and actuators operating on different platforms with conflicting objectives. This paper proposes a multi-agent system (MAS) design framework to achieve smart house automation. The novelties of this work include the developments of (1) belief, desire and intention (BDI) agent behavior models; (2) a regulation policy-based multi-agent collaboration mechanism; and (3) a set of metrics for MAS performance evaluation. Simulations of case studies are performed using the Java Agent Development Environment (JADE) to demonstrate the advantages of the proposed method
In order to solve the problems of high sampling rate which could shorten the lifetime of wireless sensor networks in wild relics security system, the power spectrum reprocessing is applied to the feature extraction of seismic wave signal. This method is used to solve the target recognition problem, and three data sets are used to verify its effectiveness. The result shows that the power spectrum reprocessing can reduce the communication consumption and prolong the lifetime of networks. This method can also increase the accuracy of target classification. This method, indicating its good performance, had been applied to wild relics security system of Museum of the Terra-cotta Warriors and Horses of Qin Shihuang.
Abstract.In this paper, we study the impacts of sensor node distributions on network coverage. We first show the impacts on network coverage by adopting different sensor node distributions through both analytical and simulation studies. Then, we adopt a distribution-free approach to study network coverage, in which no assumption of probability distribution of sensor node locations is needed. The proposed approach has yielded good estimations of network coverage.
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