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2012 IEEE Symposium on Computers and Communications (ISCC) (2012)
Cappadocia Turkey
July 1, 2012 to July 4, 2012
ISSN: 1530-1346
ISBN: 978-1-4673-2712-1
pp: 000485-000491
J. Henkel , Dept. of Embedded Sytems, Karlsruhe Inst. of Technol., Karlsruhe, Germany
Zhonglei Wang , Dept. of Embedded Sytems, Karlsruhe Inst. of Technol., Karlsruhe, Germany
Juan Feng , Dept. of Embedded Sytems, Karlsruhe Inst. of Technol., Karlsruhe, Germany
ABSTRACT
In a typical cluster-based sensor network, the data is usually gathered and fused on cluster heads. In target tracking applications, a target is often detected by sensor nodes in multiple clusters, leading to redundant data transmissions through multiple paths from the cluster heads to the data sink. To reduce such redundant data transmissions and thus to save energy, this paper proposes an adaptive data gathering strategy, called ADGS. Our novel idea is to adaptively select one node with the most residual energy and the least communication cost from the active nodes around the target. This node is responsible for gathering and aggregating the data from the other active nodes and is therefore called Aggregation Node (AN). The aggregated data is then transmitted only from the AN to the sink. Our experiments demonstrate that the proposed approach achieves a significant reduction in power consumption for data transmission and prolongs the network lifetime by 857.6% and 85.8% compared to two state-of-the-art data gathering approaches.
INDEX TERMS
wireless sensor networks, adaptive signal processing, data communication, target tracking, network lifetime, adaptive data gathering strategy, cluster-based wireless sensor networks, target tracking applications, multiple clusters, data transmissions, ADGS, residual energy, least communication cost, power consumption, Target tracking, Data communication, Wireless sensor networks, Neodymium, Energy consumption, Equations, Mathematical model
CITATION

J. Henkel, Zhonglei Wang and Juan Feng, "An adaptive data gathering strategy for target tracking in cluster-based wireless sensor networks," 2012 IEEE Symposium on Computers and Communications (ISCC), Cappadocia Turkey, 2012, pp. 000485-000491.
doi:10.1109/ISCC.2012.6249343
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