Abstract
A sensor network consists of sensing devices which may exchange data through wireless communication; sensor networks are highly energy constrained since they are usually battery operated. Data aggregation is a possible way to save energy consumption: nodes may delay data in order to aggregate them into a single packet before forwarding them towards some central node (sink). However, many applications impose constraints on data freshness; this translates into latency constraints for data arriving at the sink.
We study the problem of data aggregation to minimize maximum energy consumption under latency constraints on sensed data delivery and we assume unique transmission paths that form a tree rooted at the sink. We prove that the off-line problem is strongly NP-hard and we design a 2-approximation algorithm. The latter uses a novel rounding technique.
Almost all real life sensor networks are managed on-line by simple distributed algorithms in the nodes. In this context we consider both the case in which sensor nodes are synchronized or not. We consider distributed on-line algorithms and use competitive analysis to assess their performance.
Supported by EU Integrated Project AEOLUS (FET-15964), EU project ADONET (MRTN-CT-2003-504438), EU COST-action 293, MIUR-FIRB project VICOM, Dutch project BRICKS, DFG Focus Program 1126, “Algorithmic Aspects of Large and Complex Networks”, grant SK 58/5-3, MIUR-FIRB Israel-Italy project RBIN047MH9.
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Becchetti, L., Korteweg, P., Marchetti-Spaccamela, A., Skutella, M., Stougie, L., Vitaletti, A. (2006). Latency Constrained Aggregation in Sensor Networks. In: Azar, Y., Erlebach, T. (eds) Algorithms – ESA 2006. ESA 2006. Lecture Notes in Computer Science, vol 4168. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11841036_11
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DOI: https://doi.org/10.1007/11841036_11
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-38875-3
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