Abstract
This paper proposes a control-based approach to duty cycle adaptation for wireless sensor networks. The proposed method controls duty cycle through queue management in order to achieve high performance under variable traffic rates. To have energy efficiency while minimizing the delay, we design a feedback controller, which adapts sleeping interval time to traffic change dynamically by constraining the queue length at a predetermined value. Based on the control theory, we analyze the adaptation behavior of the proposed controller and demonstrate system stability. The simulation results show that the proposed method outperforms existing scheduling protocols by achieving more energy savings while minimizing the delay.
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Byun, H., So, J. (2011). Queue-Based Adaptive Duty Cycle Control for Wireless Sensor Networks. In: Xiang, Y., Cuzzocrea, A., Hobbs, M., Zhou, W. (eds) Algorithms and Architectures for Parallel Processing. ICA3PP 2011. Lecture Notes in Computer Science, vol 7017. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24669-2_20
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DOI: https://doi.org/10.1007/978-3-642-24669-2_20
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-24668-5
Online ISBN: 978-3-642-24669-2
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