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Adaptive sensor selection for multitarget detection in Heterogeneous Sensor Networks | IEEE Conference Publication | IEEE Xplore

Adaptive sensor selection for multitarget detection in Heterogeneous Sensor Networks


Abstract:

Resource management for multitarget detection in Heterogeneous Sensor Networks (HSN) is an open research area. By considering communication capabilities, energy differenc...Show More

Abstract:

Resource management for multitarget detection in Heterogeneous Sensor Networks (HSN) is an open research area. By considering communication capabilities, energy differences and mobility dissimilarities jointly, we propose a fuzzy logic system (FLS) and apply fuzzy c-mean (FCM) clustering to adaptively select sensors that report surrounding targets information for further data fusion. Monte Carlo simulations reveal the optimized cluster numbers, averagely selected nodes and the performance of multitarget detection. The proposed resource management approach not only extends the overall system lifetime, but also offers an appropriate tradeoff between resource consumption and detection performance.
Date of Conference: 10-12 August 2010
Date Added to IEEE Xplore: 09 September 2010
ISBN Information:
Conference Location: Yantai, China

References

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