Abstract
Wild animal tracker, as an important IoT device terminal, can collect animal's position information and movement information in real time. The analysis based on the above big data provides us with a new perspective on recognizing animal behavior. It is useful in scientific research and animal management, while the device is always limited by energy. In order to develop the tracker device and enhance the energy supplying, wild animal tracker module including solar energy module, Maximum Power Point Tracking module, lithium battery, energy module, communication module, Global Positioning System module, data management module, stability controlling module, and ephemeris backup module etc. was designed in the study to optimize energy. Circuits for watchdog, energy management, solar energy protective were also designed in the novel tracker. Solar utilization efficiency and energy conversion efficiency have been enhanced after the energy optimization based on watchdog technology. The novel trackers were applied in many wild animals. Tests showed that the positioning accuracy, energy supplying, data collection all had been improved effectively. The tracker also proper worked in many harsh environments, such as desert and so on. The novel wild animal tracker can not only connect wild animals and the natural environment, but also human activities. There is also a huge market prospect, especially with the development of IoT technology and big data technology.
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Funding
This research was supported by the National Natural Science Foundation of China (U20A20118 to X.Z.), Natural Science Foundation of Hunan Province (2019JJ40012, 2019JJ50027 to H.T. and X.Z.), Key Technology R&D Program of Hunan Province (2016TP2007; 2016TP1014; 2017TP2014 to Z.Y.) and College Students' Innovative Entrepreneurial Training Plan Program of Shannxi Province (S202010712295 to L.C.).
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Xu, Z. et al. (2021). Energy Optimization for Wild Animal Tracker Basing on Watchdog Technology. In: Sun, X., Zhang, X., Xia, Z., Bertino, E. (eds) Artificial Intelligence and Security. ICAIS 2021. Lecture Notes in Computer Science(), vol 12737. Springer, Cham. https://doi.org/10.1007/978-3-030-78612-0_52
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DOI: https://doi.org/10.1007/978-3-030-78612-0_52
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