Abstract
Aircraft Prognostic and Health Management (PHM) is a system which could diagnose device faults and assess its health status. Due to the complexity of the airborne environment, the aircraft PHM uses Wireless Sensor Network (WSN) technology to collect and transmit data. In this paper, a Power Control Algorithm based on Small World (PCS) is proposed to reduce the network delay. The PCS algorithm adds several shortcuts into the network based on the small world theory and uses genetic algorithm to optimize the shortcuts. Simulation results demonstrate that this method can effectively shorten the average path length and reduce the network delay.
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Acknowledgments
This work is supported by the National Natural Science Foundation of China under grant NO.61262020; the Aeronautical Science Foundation of China NO.2012ZD56; the Natural Science Foundation of Education Bureau of Jiangxi Province NO.GJJ12460; the Nanchang Hang Kong University doctoral Sustentation Fund NO.EA201120180.
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Zheng, W., Luo, D. (2014). Small World-Based Wireless Sensor Network Power Control Algorithm for Airborne PHM. In: Wang, X., Cui, L., Guo, Z. (eds) Advanced Technologies in Ad Hoc and Sensor Networks. Lecture Notes in Electrical Engineering, vol 295. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-54174-2_16
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DOI: https://doi.org/10.1007/978-3-642-54174-2_16
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