题 目：Internet of Things——Some Challenges and Recent Results
Biography Victor C.M. Leungis a Distinguished Professor of Computer Science and Software Engineering at Shenzhen University, Shenzhen, China, and a Professor Emeritus at the University of British Columbia (UBC), Vancouver, Canada. Before he retired from UBC at the end of 2018, he was a Professor of Electrical and Computer Engineering and holder of the TELUS Mobility Research Chair there. His research is in the broad areas of wireless networks and mobile systems. He has co-authored more than 1200 journal/conference papers and book chapters. Dr. Leung is serving on the editorial boards of the IEEE Transactions on Green Communications and Networking, IEEE Transactions on Cloud Computing, IEEE Access, IEEE Network, and several other journals. He received the IEEE Vancouver Section Centennial Award, 2011 UBC Killam Research Prize, 2017 Canadian Award for Telecommunications Research, and 2018 IEEE TCGCC Distinguished Technical Achievement Recognition Award. He co-authored papers that won the 2017 IEEE ComSoc Fred W. Ellersick Prize, 2017 IEEE Systems Journal Best Paper Award, 2018 IEEE CSIM Best Journal Paper Award, and 2019 IEEE TCGCC Best Journal Paper Award. He is a Fellow of IEEE, the Royal Society of Canada, Canadian Academy of Engineering, and Engineering Institute of Canada. He is named in the current Clarivate Analytics list of "Highly Cited Researchers”.
AbstractInternet of Things (IoT) extends the Internet to connect not only computers and smart devices carried by people, but “things” with embedded sensors, actuators, and networking capabilities. IoT will enable many new services and applications such as smart grids, intelligent transportation, e-health, smart homes/buildings/offices/factories, which will be an integral part of the future smart cities. However, widespread deployment of IoT in society, especially in the context of smart cities, is challenged by a number of issues, most notably the utility, efficiency and security of IoT solutions. In this presentation, we shall focus on the first two of these issues. Conventionally IoT applications have been provisioned with dedicated protocol stacks that are fine tuned for the specific applications, which limit the utility of such systems to other possibly new applications that were not considered when these “application silos” were designed and implemented. Following the trend of network functions virtualization, software-defined networking, and virtualized cloud computing services, we present a framework for wireless sensors as a service, aided by sensor-cloud integration. Due to the distributed and heterogeneous nature of this framework and the fact that computations are increasingly migrated to the network edge, programming such a system, especially coordinating the multitude of software components that are deployed on the edge computing devices, is challenging. We present some results on programming model and process coordination mechanisms to address this challenge. Energy efficiency is another important issue in the design of IoT systems, due to the potentially widespread deployment of IoT devices and the fact that many such devices are battery operated and deployed in situations where battery replacement is awkward if not impossible. We address this issue from the sensor-cloud perspective by developing a sensor sleep scheduling scheme driven by the needs of sensor data by applications. On the other hand, we are developing embedded radio and enabling protocol for IoT devices that incorporate energy harvesting and message-driven wake-up capabilities. We conclude the presentation with a brief discussion on open problems and future research directions.