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Distributed Network Control for Mobile Multi-Modal Wireless Sensor Networks

机译:移动多模无线传感器网络的分布式网络控制

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A sensor network operates on an infrastructure of sensing, computation, and communication through which it perceives the evolution of events it observes. We propose a fusion-driven distributed dynamic network controller, called MDSTC for a multi-modal sensor network that incorporates distributed computation for in situ assessment, prognosis, and optimal reorganization of constrained resources to achieve high quality multi-modal data fusion. For arbitrarily deployed sensors certain level of data quality cannot be guaranteed in sparse regions. MDSTC reallocates resources to sparse regions; reallocation of network resources in this manner is motivated by the fact that an increased density of sensor nodes in a region of interest leads to better quality data and enriches the network resilience. Simulation results in NS-2 show the effectiveness of the proposed MDSTC.

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