PC3: Collaborative Research: Wireless Sensor Networks for Protecting Wildlife and Humans

PC3：合作研究：保护野生动物和人类的无线传感器网络

• 批准号: 1143685
• 负责人: Anish Arora
• 金额: $ 17.82万
• 依托单位: Ohio State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-10-01 至 2015-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1143685&HistoricalAwards=false
• 关键词: PC3; Collaborative; Research; Wireless; Sensor

This award provides funding for a collaborative project between Ohio State University, Cornell University, The Indian Institute of Science - Bangalore, the Wildlife Institute of India, and the Indian Institute of Information Technology - Allahabad. The dramatic dwindling of forests and concomitant escalation in human-wildlife conflicts are resulting in broad environmental impact, including large economic and social costs, increasing human deaths in areas used by large mammals, and animal population decline. This project enables a baseline operational wireless sensor network system for protection of animals, humans, and the forest. The forest setting involves complex scenes demanding the discrimination of several targets of interest in a highly cluttered setting as well as discrimination of their intent and behaviors. Activity patterns evolve in a naturally adversarial environment. The system architecture being developed integrates in a transformative way a suitably rich set of sensing modalities with intent inferencing, learning, optimization, and deployment techniques, to monitor a diverse set of targets. Mature system components are to be deployed in Panna, a tiger reserve in central India, in close cooperation with domain experts and forestry management. The project is a collaboration between researchers in the US and India who are substantially involved in complementary aspects of wildlife related research. A subsequent protection-centric effort in the US is envisioned that builds upon the lessons learned by this effort. Successful realization of system components and a baseline system would lead to an assessment of the potential benefits of using wireless sensor networks for protection related to forests and potential transition into production use. Over time, this will help establish credible early-warning systems, and monitoring protocols for animal use of human areas and human use of forest areas that can support recovery efforts. This project is part of the Pervasive Communications and Computing Collaboration (PC3) initiative.

该奖项为俄亥俄州州立大学、康奈尔大学、印度科学研究所-班加罗尔、印度野生动物研究所和印度信息技术研究所-阿拉哈巴德之间的合作项目提供资金。 森林的急剧减少以及随之而来的人与野生动物冲突的升级正在造成广泛的环境影响，包括巨大的经济和社会成本，大型哺乳动物使用地区的人类死亡人数增加，以及动物种群减少。该项目实现了一个基线操作无线传感器网络系统，用于保护动物，人类和森林。森林环境涉及复杂的场景，需要在高度杂乱的环境中区分几个感兴趣的目标，以及区分它们的意图和行为。活动模式是在自然的对抗环境中演变的。正在开发的系统架构以变革性的方式集成了一组适当丰富的传感模态与意图推断，学习，优化和部署技术，以监控各种目标。成熟的系统组件将与领域专家和林业管理部门密切合作，部署在印度中部的老虎保护区潘纳。该项目是美国和印度研究人员之间的合作，他们主要参与野生动物相关研究的互补方面。随后在美国以保护为中心的努力，设想建立在这一努力所吸取的教训。 成功实现系统组成部分和基线系统将导致评估使用无线传感器网络保护森林的潜在好处和可能过渡到生产用途。随着时间的推移，这将有助于建立可靠的预警系统，以及监测动物使用人类区域和人类使用森林区域的协议，以支持恢复工作。 该项目是普适通信和计算协作（PC 3）计划的一部分。