Abstract
Storage overflow problem in wireless sensor networks is a new and challenging issue, wherein data-collecting base station is not available while more data items are generated than available storage space in the entire network. In this paper, we consider overall storage overflow problem in WSNs, the goal of which is to maximize the minimum remaining energy of data node (the node with overflow data) in order to prolong the lifetime of the sensor network. For overall storage overflow problem, we propose a two-step solution. A degree-constrained data aggregation algorithm is presented, and then we further propose a data replication algorithm which is a unified method, integrating data aggregation and data redistribution. Extensive simulations show that our proposed algorithms significantly outperform than existing algorithms especially in extending the lifetime of the sensor network.
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Song, G., Zhang, C., Liu, C., Chai, Y. (2017). A Framework for Overall Storage Overflow Problem to Maximize the Lifetime in WSNs. In: Gao, X., Du, H., Han, M. (eds) Combinatorial Optimization and Applications. COCOA 2017. Lecture Notes in Computer Science(), vol 10627. Springer, Cham. https://doi.org/10.1007/978-3-319-71150-8_2
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DOI: https://doi.org/10.1007/978-3-319-71150-8_2
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