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學(xué)術(shù)動(dòng)態(tài)

面向車輛輔助的彈性信息和網(wǎng)絡(luò)系統(tǒng)

發(fā)布時(shí)間:2018-03-13 瀏覽次數(shù):

報(bào)告人:李鵬教授

單位:日本會(huì)津大學(xué)

報(bào)告時(shí)間:2018年3月19日(星期一)14:30

報(bào)告地點(diǎn):翡翠科教樓A樓第一會(huì)議室

報(bào)告人簡(jiǎn)介:

Peng Li received his BS degree from Huazhong University of Science and Technology, China, in 2007, the MS and PhD degrees from the University of Aizu, Japan, in 2009 and 2012, respectively. Dr. Li is currently an Associate Professor in the University of Aizu, Japan. His research interests mainly focus on cloud computing, Internet-of-Things, big data systems, as well as related wired and wireless networking problems. He won the Young Author Award of IEEE Computer Society Japan Chapter in 2014. He won the Best Paper Award of IEEE TrustCom 2016. He supervised students to win the First Prize of IEEE ComSoc Student Competition in 2016. He is a member of IEEE.

報(bào)告簡(jiǎn)介:

There is a growing trend of applying unmanned air vehicles and ground vehicles in various scenarios (e.g., military, package delivery and agriculture) in recent years. This talk will present a promising design of air-ground vehicle system with collaborative intelligence by integrating these two technologies. I will show an example of applying the proposed design in disaster management. Specifically, after big disasters, a damaged area can be out of contact because of severe damage of existing network infrastructures. Meanwhile, high demands for network connections to the disaster area will arise to collect damage information and disseminate rescue instructions. To address this challenge, a vehicle-assist resilient information and network system for disaster management is designed, despite of the Internet unavailability. An online algorithm is proposed to schedule vehicles to conduct disaster management tasks, without any knowledge of future task arrivals.

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