Informácia o dokumente



In: Computing and Informatics, vol. 29, no. 4
A.m. Khedr - W. Osamy

Nonlinear Trajectory Discovery of a Moving Target by Wireless Sensor Networks

Detaily:

Rok, strany: 2010, 647 - 662
Kľúčové slová:
Global temporal pattern, mining, nonlinear trajectories, target tracking, wireless sensor networks

O článku:

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.

Ako citovať:

ISO 690:
Khedr, A., Osamy, W. 2010. Nonlinear Trajectory Discovery of a Moving Target by Wireless Sensor Networks. In Computing and Informatics, vol. 29, no.4, pp. 647-662. 1335-9150.

APA:
Khedr, A., Osamy, W. (2010). Nonlinear Trajectory Discovery of a Moving Target by Wireless Sensor Networks. Computing and Informatics, 29(4), 647-662. 1335-9150.