Abstract
Nowadays, many algorithms are brought up to elect the optimal nodes as head nodes for WSNs, but the network lifetime may not be optimal because of the lack of maintenance for cluster heads’(CHs) energy. Based on the above consideration, we come up with the CHs’ active hibernation algorithm for dynamic clustering network. First we propose that after the CHs’ energy reaches its threshold, instead of becoming the non-CHs directly, they will enter a FIFO queue in which they can hibernate. Second, in order to avoid the effect that the hibernation has on data collection and network coverage, a data recovery mechanism is designed. Third, a theoretical model is formed to analyze the effect and efficiency improvement of the CHs’ hibernation work. The theoretical analysis and experiments show that without the influence of the redundant nodes, CHs’ hibernation algorithm has better performance in network lifetime and energy balancing.
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Acknowledgments
The paper is supported by China NSF(61572222, 61272405, 60903175,61272033, 61272451) and University Innovation Foundation (2013TS102, 2013TS106).
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Liu, C., Fu, C., Xu, D., Sun, L., Han, L. (2015). An Energy-Balanced WSN Algorithm Based on Active Hibernation and Data Recovery. In: Wang, G., Zomaya, A., Martinez, G., Li, K. (eds) Algorithms and Architectures for Parallel Processing. ICA3PP 2015. Lecture Notes in Computer Science(), vol 9528. Springer, Cham. https://doi.org/10.1007/978-3-319-27119-4_51
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DOI: https://doi.org/10.1007/978-3-319-27119-4_51
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