Data Dissemination in Mobile Phone Sensor Networks

Deploying sensors over large areas is costly in terms of configuration, hardware, and maintenance. Using onboard sensors of today mobile phones can significantly reduce the expenses in monitoring areas and disseminating events or data. Via the available short-range Bluetooth and/or WiFi interfaces, measured data are not only gradually delivered, but also possibly more reliable. In our simulation, existing Delay-Tolerant Network routing algorithms show poor performance on a complex network comprising diverse kinds of sensor nodes, such as, mobile phones, cars, and road side units. New approaches that can perform well on such heterogeneous networks are needed. They also need to support exchanging measurements among sensors for more accurate inference. In the early phase, we set up a heterogeneous architecture composed of different sorts of sensors, and propose an algorithm, Unified routing, for routing and disseminating. A further variant of the scheme is being developed. Early simulation results are consistent with theoretical prediction. After finishing the first step, Unified routing, the focus of our research will be on distributed data processing. Finally, routing and distributed data processing will be investigated in a testbed in a realistic context. Viet-Duc Le joined Pervasive Systems in June 2011 for a 4-year Ph.D. program. He is doing his research in the SenSafety project, where the main focus is on opportunistic sensing and networking, and on distributed sensor data processing. He received a Bachelor degree in ElectricalElectronics Engineering from Ho Chi Minh City University of Technology, Vietnam, in 2002, and a Master degree in Computer Engineering from KyungHee University, South Korea, in 2009. He is interested in Machine Learning and Pattern Recognition. More specifically, the focus of his research is to design and analyze inference algorithms for data in Wireless Sensor Networks and Opportunistic Network that can be applied to Health-care applications, Location Tracking, Public Safety, and Smart Transportation Systems. Besides his academic research, he has worked more than six years as a researcher or a team leader of many industrial projects related to sensor applications and web database.