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Distributed network control for mobile multi-modal wireless sensor networks
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DOI：10.1016/j.jpdc.2010.08.016.png)
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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, a 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.(1) (C) 2010 Elsevier Inc. All rights reserved.
Keyword:
Distributed sensor networks
Multi-modal data fusion
Mobile wireless network
Target localization
Target tracking
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