【24h】

Recovery Target Tracking in Wildlife

机译:野生动物中的恢复目标跟踪

获取原文

摘要

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.
机译:随着最近移动传感器网络的进步,传感器网络现在正在野生动物环境中使用。传感器网络用于野生动物以跟踪动物。通过这种努力做出的发现包括动物行为和生活方式。野生动物跟踪研究升级的最重要原因之一是为了保护食物链中的人类和动物。野生动物追踪的另一种可能的原因是保护濒危物种。在本文中,我们分析相关工作并描述如何跟踪移动传感器节点。然后,我们介绍了一个优化的恢复算法,以便在找不到它们时跟踪动物。这种新颖的方法是现有技术,并未被其他研究人员调查。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号