REU Site: Mobile Actuator and Sensor Networks

REU 站点：移动执行器和传感器网络

• 批准号: 0851709
• 负责人: YangQuan Chen
• 金额: $ 28.28万
• 依托单位: Utah State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-07-01 至 2012-10-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0851709&HistoricalAwards=false
• 关键词: REU; Site; Mobile; Actuator; Sensor

This award is funded under the American Recovery and Reinvestment Act of 2009 (Public Law 111-5).This is a renewal of the previously funded REU Site NSF Award No. 0552758. This 10 week REU Site program in MAS-net (Mobile Actuator Sensor Networks) provides eight undergraduate students an opportunity to participate in the ongoing research activities of faculty members in the Electrical and Computer Engineering Department at Utah State University. This early exposure to research activities substantially furthers the undergraduates? learning process, significantly enhances their research experience, actively promotes their interests in MAS-net related research, and quickly develops their research skills. Intellectual Merit: The proposed work is focused on several MAS-net related techniques and their importance in interesting and crucial applications of high interest to the student participants. The work addresses challenging issues in the field of MAS-net using hands-on and stimulating research projects such as: 1. Development of Consensus Algorithms for Coordination of Multiple Robotic Vehicles, 2. Development of Plume Tracking Algorithms with Networked Mobile Sensors 3. Development of Design Methods for Swarm Emergent Behaviors in MAS-net. The site applies an intellectual approach to encourage REU students in active learning, free and open exchange of ideas, team spirit, and recognition and rewards for achievements. In addition to the research, the REU students participate in weekly individual meetings, weekly research group meetings, bi-weekly REU group meetings, bi-weekly ?expanding your horizon? seminars, and social events. They learn to assimilate latest research, assess their own research, present their own work and experimental results, prepare publications, and prepare for admission to graduate school (GRE preparation tutorials). Broader Impacts: This research directly helps undergraduate students by: 1. Exposing them to the intellectual excitement involved in research and professional meetings; 2. Teaching them to think creatively and independently in a ?learn by doing? research environment; 3. Empowering them with general research methods, and specific MAS-net skills; 4. Giving them hands-on experience in real world applications, and teaching them to apply MAS-net related technologies to real-world problems; 5. Teaching them to effectively assimilate latest research, critically assess their own research, cogently present experimental results, and effectively prepare publications; and 6. Helping them to establish a sense of self-assurance and team-spirit. The broader impacts of the proposed research are to: 1. Attract a diverse student population to the field of MAS-net. 2. Kindle students? interests in the area of MAS-net. 3. Increase the number of future professionals in the area of MAS-net. 4. Stimulate enrollments in graduate studies. 5. Promote collaborative ties between students? home institutions and USU. 6. Provide a basis for future cooperative studies and research opportunities. At least four of the eight participants are underrepresented students and at least four students are from other institutions, recruited from those institutions where research programs are limited. This active national and regional recruitment plan helps underrepresented students and students with limited exposure to research to be acquainted with interesting research projects and to gain confidence in their pursuit of baccalaureate degrees, in seeking industrial technology related jobs, and in continuing to advanced degree programs.

该奖项是根据2009年美国复苏和再投资法案（公法111-5）资助的。这是以前资助的REU网站NSF奖号0552758的延续。这个为期10周的REU网站计划在MAS-net（移动的执行器传感器网络）提供了八个本科生有机会参加正在进行的研究活动的教员在电气和计算机工程系在犹他州州立大学。这种早期接触研究活动大大促进了本科生？学习过程中，显着提高他们的研究经验，积极促进他们在MAS网络相关的研究兴趣，并迅速发展他们的研究技能。智力优势：建议的工作是集中在几个MAS-网络相关的技术和他们的重要性，在有趣的和重要的应用程序的高度兴趣的学生参与者。这项工作解决了具有挑战性的问题，在该领域的MAS-net使用动手和刺激的研究项目，如：1。多机器人车辆协调一致性算法的开发，2。网络化移动的传感器羽流跟踪算法的开发3. MAS网络中群体涌现行为设计方法的发展。该网站采用智力方法，鼓励REU学生积极学习，自由和开放的思想交流，团队精神，以及对成就的认可和奖励。除了研究，REU学生参加每周一次的个人会议，每周一次的研究小组会议，每两周一次的REU小组会议，每两周一次的？拓展你的视野研讨会和社交活动。他们学习吸收最新的研究，评估自己的研究，介绍自己的工作和实验结果，准备出版物，并准备进入研究生院（GRE准备教程）。更广泛的影响：这项研究直接帮助本科生：1。使他们接触到研究和专业会议所涉及的智力兴奋; 2.教他们创造性地独立思考？边做边学？研究环境; 3.赋予他们一般的研究方法，和具体的MAS-net技能; 4。让他们在真实的世界的应用实践经验，并教他们将MAS网络相关技术应用于现实世界的问题; 5。教他们有效地吸收最新的研究，批判性地评估自己的研究，令人信服地提出实验结果，并有效地准备出版物;帮助他们建立自信和团队精神。拟议研究的更广泛的影响是：1。吸引多元化的学生群体进入MAS网络领域。2. Kindle学生？在MAS-net领域的利益。3.增加未来在MAS网络领域的专业人员的数量。4.鼓励研究生入学。5.促进学生之间的合作关系？家庭机构和USU。6.为今后的合作研究和研究机会提供基础。八名参与者中至少有四名是代表性不足的学生，至少有四名学生来自其他机构，从研究项目有限的机构招募。这一积极的国家和地区招聘计划帮助代表性不足的学生和学生接触研究有限，熟悉有趣的研究项目，并在他们追求学士学位，寻求工业技术相关的工作，并继续先进的学位课程获得信心。