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Rare Wild Animal Tracking in the Forest area with Wireless Sensor Network in Network Simulator-2

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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2016
Authors:
Sanjyot S. Ghumare, Rekha P. Labade, Sunil R. Gagare
10.5120/ijca2016907415

Sanjyot S Ghumare, Rekha P Labade and Sunil R Gagare. Article: Rare Wild Animal Tracking in the Forest area with Wireless Sensor Network in Network Simulator-2. International Journal of Computer Applications 133(4):1-4, January 2016. Published by Foundation of Computer Science (FCS), NY, USA. BibTeX

@article{key:article,
	author = {Sanjyot S. Ghumare and Rekha P. Labade and Sunil R. Gagare},
	title = {Article: Rare Wild Animal Tracking in the Forest area with Wireless Sensor Network in Network Simulator-2},
	journal = {International Journal of Computer Applications},
	year = {2016},
	volume = {133},
	number = {4},
	pages = {1-4},
	month = {January},
	note = {Published by Foundation of Computer Science (FCS), NY, USA}
}

Abstract

To keep of track wild animal in forest area is very difficult task. As one cannot go to the deep inside forest, as no one wants to jeopardize one’s life. Use of Wireless sensors in such areas is best solution. As these sensors only have to put in one place and after that they self-organize their position in the given or programmed area. To track an animal Localization is very important factor. As if the position of the sensor nodes are known in the sensor network, it is easy to identify position of an animal in that network. In wireless sensor network energy saving is also an important factor for networks lifetime. Here clustering algorithm is using to save energy in the nodes which is Low Energy Adaptive Clustering Hierarchy along with prediction operation in the area. Spatial resolution is also measure in this simulation for checking accuracy in the animal tracking.

References

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Keywords

Animals Trajectory finder, Prediction, clustering, NS-2.