Abstract

Target tracking is an important cooperative sensing application of wireless sensor networks. In these networks energy, computing power and communication bandwidth are scarce. In this paper, we consider a randomly deployed sensor network with sensors acting as a set of distributed datasets. Each dataset is assumed to have its local temporal dataset, along with spatial data and the geographical coordinates of a given object. An approach towards mines global temporal patterns from these datasets and to discovers nonlinear trajectories of a moving object is proposed. It is tested in a simulation environment and compared with straightforward method. The results of the experiments clearly show the benefits of the new approach in terms of energy consumption.

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Cite this article

@article{cai-1832-2010-4,
  author  = {Ahmed M. Khedr and Walid Osamy},
  title   = {Nonlinear Trajectory Discovery of a Moving Target by Wireless Sensor Networks},
  journal = {Computing and Informatics},
  volume  = {29},
  number  = {4},
  pages   = {647--662},
  year    = {2010},
  issn    = {1335-9150},
  url     = {https://cai.type.sk/content/2010/4/nonlinear-trajectory-discovery-of-a-moving-target-by-wireless-sensor-networks/}
}
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