Abstract
This paper presents low-latency routing strategies that take account of energy-harvesting sensor nodes in wireless sensor networks. Currently, in the case of tree-based network connectivity, ‘lazy’ nodes with a long interval between computational activities may slow down communication if deployed along a routing path. To cope with this problem, we suggest a random graph in which a node may have multiple parent nodes, thus allowing a choice of path to the sink node. We also propose three path selection schemes for the network topology on the basis of (a) the cost of a single hop from the current node, (b) the cost of two hops, and (c) the cost of a single hop plus a cost estimate for the remainder of the path to the sink, respectively. The proposed strategies are shown to outperform the existing routing algorithm for a tree-structured energy-harvesting sensor network.
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Kwon, H., Noh, D., Kim, J., Lee, J., Lee, D., Shin, H. (2007). Low-Latency Routing for Energy-Harvesting Sensor Networks. In: Indulska, J., Ma, J., Yang, L.T., Ungerer, T., Cao, J. (eds) Ubiquitous Intelligence and Computing. UIC 2007. Lecture Notes in Computer Science, vol 4611. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73549-6_42
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DOI: https://doi.org/10.1007/978-3-540-73549-6_42
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-73548-9
Online ISBN: 978-3-540-73549-6
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