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Erschienen in:
2013 | OriginalPaper | Buchkapitel
Firefly-Inspired Synchronization of Sensor Networks with Variable Period Lengths
verfasst von : Stefan Wieser, Pier Luca Montessoro, Mirko Loghi
Erschienen in: Adaptive and Natural Computing Algorithms
Verlag: Springer Berlin Heidelberg
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Synchrony is an important requirement in wireless sensor networks. Biologically inspired synchronization has received significant scientific attention for its simplicity and robustness. This paper presents a self-organized approach based on two established synchronization methods, Phase-Advance and the Reachback Firefly Algorithm, that can be used if the phase and the period length of a node must both be adjusted. By considering nodes with different period lengths, we account for and synchronize nodes with variable delays and clock inaccuracies. We evaluate our modifications through extensive simulations with a realistic model.