Smart Environmental Monitoring Using Low-Cost Sensors and LPWAN

Dr. Nansong Wu
ES Department Sonoma State University, Rohnert Park, CA

Cerent Engineering Science Complex, Salazar Hall 2009A
4:00 PM

Abstract - Rapid convergence of traditional research areas of embedded systems, wireless sensor networks, control systems, automation, and sensors has enabled the evolution of Internet of Things (IoT). The concept of IoT is based on a selfconfiguring and adaptive system consisting of networks of sensors that interconnect in such a way as to make them intelligent and programmable. An important application of IoT is in environmental monitoring through distributed sensors and controllers that stream data for cloud storage and web access. Lakes from nationwide often lack water quality monitoring stations that can record data for public or private users. This research is to leverage the low-cost sensors for the design and development of a mobile water quality monitoring system (WQMS). We survey the available wireless technologies, select and deploy the LoRa (Long Range) network and evaluate its performance. We also present the detailed design and implementation of the mobile WQMS based on an unmanned surface vehicle (USV).

Dr. Nansong Wu received his M.S. in Electrical Engineering, Engineering Management, and Ph.D. in Electrical Engineering from Florida International University, Miami, FL. He has several years of academic experience. His areas of interest are wireless sensor networks, low-power wide-area networks, and FPGA design.