While the Internet of Things (IoT) shows great promise in automating remote monitoring and control applications, programming the sensor nodes to achieve reliable operation remains a difficult task due to firmware complexity. In this talk, we will describe a cloud-driven wireless sensor network (WSN) architecture that virtualizes a multi-hop WSN into a graph tree in the cloud, and all routing and communication functions are performed on the tree. The benefits are reduced firmware complexity, improved reliability, powerful algorithms in the cloud, and easy programming by the users. We will also talk about the challenges in deploying these devices, including impact of harsh environments, influence of governmental regulations, and scaling to 100k+ nodes.
Andy Wang received his B.S. degree in Electrical Engineering from the University of Maryland College Park in 1998, and his M.S. and Ph.D. degrees in Electrical Engineering and Computer Science from the Massachusetts Institute of Technology in 2000 and 2005, respectively. He joined Analog Devices as an IC design engineer in 2005, working on high-speed communication chipsets for video and networking applications. He co-founded GTI IoT Technology Co, LTD in 2011 and serves as its CTO, working on low-power wireless sensor networks for smart-city applications. Currently Andy is working on a new venture focusing on edge computing technology.
Copyright ⓒ 2015 KAIST Electrical Engineering. All rights reserved. Made by PRESSCAT
Copyright ⓒ 2015 KAIST Electrical Engineering. All rights reserved. Made by PRESSCAT
Copyright ⓒ 2015 KAIST Electrical
Engineering. All rights reserved.
Made by PRESSCAT
