Recovery Target Tracking in Wildlife

H. Susanto, F. Lalooses, and C.H. Chang (USA)


Algorithms, Recovery, Sensor Networks, Tracking


With recent advances in mobile sensor networks, sensor networks are now being used in wildlife environments. Sensor networks are utilized in wildlife to track animals. The discoveries that have been made through such efforts include animal behavior and lifestyles. One of the most significant reasons why wildlife tracking research has escalated is for the protection of humans and animals in the food chain. Another possible reason for wildlife tracking is to protect endangered species. In this paper, we analyze related work and describe how to track mobile sensor nodes. We then present an optimized recovery algorithm to track animals when they cannot be found. This novel approach is state of the art and has not been investigated by other researchers.

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