Abstract
The design of wireless sensor networks for signal detection applications has to consider the limited battery power of the sensor nodes. Considering the scenario of using distributed radar-like sensors to detect the presence of an object through active sensing, we formulate the problem of power allocation between sensing and communication for signal detection under the Neyman-Pearson criterion. An allocation scheme of node’s power budget between sensing and communication is presented. The objective is to maximize the global probability of detection under a fixed node’s power constraint and a given global probability of false alarm. Simulation results show that the proposed method leads to a big gain in performance.
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Liu, X., Bai, W., Zhu, P., Han, Z. (2013). Detection Performance Optimization Based Power Allocation between Sensing and Communication in Wireless Sensor Networks. In: Wang, R., Xiao, F. (eds) Advances in Wireless Sensor Networks. CWSN 2012. Communications in Computer and Information Science, vol 334. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-36252-1_28
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DOI: https://doi.org/10.1007/978-3-642-36252-1_28
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-36251-4
Online ISBN: 978-3-642-36252-1
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