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NONLINEAR TRAJECTORY DISCOVERY OF A MOVING TARGET BY WIRELESS SENSOR NETWORKS
Faculty
Science
Year:
2010
Type of Publication:
Article
Pages:
647-662
Authors:
Khedr, Ahmed M, Osamy, Walid
Journal:
COMPUTING AND INFORMATICS SLOVAK ACAD SCIENCES INST INFORMATICS
Volume:
29
Research Area:
Computer Science
ISSN
ISI:000284193100011
Keywords :
Global temporal pattern, mining nonlinear trajectories, target tracking, wireless sensor networks
Abstract:
Target tracking is an important cooperative sensing application of wireless sensor networks In these networks energy, computing power and communication bandwidth ace 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 co-ordinates of a given object An approach towards mines global temporal patterns from these datasets and to discovers nonliear 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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