Kang G.Shin教授，IEEE Fellow，ACM Fellow， 韩国工程院院士，密歇根大学电子工程与计算机科学系实时计算实验室奠基人。本次应竺可桢基金的特别邀请，来浙江大学做短期学术交流。
讲座时间：2004年10月19日下午15：00
讲座地点：曹光彪西楼201
讲座题目：Secure Management of Sensor Networks for Monitoring Environments
讲座内容：
Under the auspice of DARPA, we have been developing middleware for securely managing sensor networks for environment monitoring. This talk will begin with the generic aspects of sensors networks, and then describe details of our current research that covers adaptive query processing (AQP), minimum-cost routing, and security.
Sensor networks, built with thousands of small and smart sensor nodes, may be deployed for various applications, which usually require a certain pre-specified network lifetime. I will first describe a hierarchical architecture for query processing in such sensor networks, and then focus on energy-aware adaptive query processing. Especially, I will present (1) a cost-based query allocation algorithm that minimizes
the total power consumption by maximizing cost sharing among different queries; and (2) an energy-aware Quality-of-Service (QoS) adaptation algorithm that gracefully makes tradeoff between total power consumption and total QoS of all queries when node availability or workload changes.
Among many others, efficient routing between sensor nodes and protection sensor nodes and information exchanged between them are essential to support applications like AQP. Hence, the second part of my talk will deal with these two issues.
讲座时间：2004年10月19日下午15：00
讲座地点：曹光彪西楼201
讲座题目：Secure Management of Sensor Networks for Monitoring Environments
讲座内容：
Under the auspice of DARPA, we have been developing middleware for securely managing sensor networks for environment monitoring. This talk will begin with the generic aspects of sensors networks, and then describe details of our current research that covers adaptive query processing (AQP), minimum-cost routing, and security.
Sensor networks, built with thousands of small and smart sensor nodes, may be deployed for various applications, which usually require a certain pre-specified network lifetime. I will first describe a hierarchical architecture for query processing in such sensor networks, and then focus on energy-aware adaptive query processing. Especially, I will present (1) a cost-based query allocation algorithm that minimizes
the total power consumption by maximizing cost sharing among different queries; and (2) an energy-aware Quality-of-Service (QoS) adaptation algorithm that gracefully makes tradeoff between total power consumption and total QoS of all queries when node availability or workload changes.
Among many others, efficient routing between sensor nodes and protection sensor nodes and information exchanged between them are essential to support applications like AQP. Hence, the second part of my talk will deal with these two issues.
