25 September 2007 Collaborative sensor management for decentralized asynchronous sensor networks
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In this paper, we consider the problem of sensor resource management in decentralized tracking systems with asynchronous communication and sensor selection. Due to the availability of cheap sensors, it is possible to deploy a large number of sensors and use them to monitor a large surveillance region. Even though a large number of sensors are available, due to frequency, power and other physical limitations, only a maximum of certain number of sensors can be used by any fusion center at any one time. The problem is then to select the sensor subsets that should be used at each sampling time in order to optimize the tracking performance under the given constraints. In recent papers, we proposed algorithms to handle the above problem in centralized, distributed and decentralized architectures. However, in the paper for sensor subset selection for decentralized architecture, we assumed that all the fusion centers change their sensors at the same time, and their sensor change time interval is fixed and known. However, in general case, fusion centers may change their sensors at different time, and their sensor change intervals may not be fixed. In this case, the sensor management become more difficult. We have to decide when to change the subsets, and how to incorporate the changes made in the neighboring fusion centers in selecting the future sensor subsets. We propose an efficient algorithm to handle the above problem in real time. Simulation results illustrating the performance of the proposed algorithm are also presented.
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R. Tharmarasa and T. Kirubarajan "Collaborative sensor management for decentralized asynchronous sensor networks", Proc. SPIE 6699, Signal and Data Processing of Small Targets 2007, 66990Z (25 September 2007); doi: 10.1117/12.734747; https://doi.org/10.1117/12.734747

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