Talk: Dr. Mohammad Moltafet (February 24, 2022 at 1:00 PM, LNT Seminar room N2407)
Information Freshness in Wireless Networks
Dr. Mohammad Moltafet
Center for wireless communications
Zoom Meeting Details
Meeting Link: https://oulu.zoom.us/j/68192416284
Meeting ID: 6819 2416 284
The freshness of status information of various physical processes e.g., temperature of a specific environment (room, greenhouse, etc.) or a vehicular status (position, acceleration, etc.) is a key performance enabler in many time-critical applications of wireless sensor networks, e.g., surveillance in smart home systems, remote surgery, intelligent transportation systems, and drone control. In these networks, low-power sensors may be assigned to send status updates about a random process to intended destinations. The traditional metrics, such as throughput and delay, cannot fully characterize the information freshness. Recently, the age of information (AoI) was proposed as a destination-centric metric to measure the information freshness in status update systems. The AoI measures the time elapsed since the last received status update packet was generated at the sensor. The key trade-off in status update systems is the balance between frequency of sampling and delay in delivery of the status updates. Two different approaches can be considered in studying the AoI: i) analyzing the AoI when we cannot control the sampling process in the system where the AoI characterization for various queueing modes and packet management policies is studied; ii) optimizing the AoI when we can control the sampling process in the system where a dynamic control algorithm to optimize radio resource allocation and sampling action is studied.
Mohammad Moltafet received the M.Sc. degree in communications engineering from Tarbiat Modares University, Tehran, Iran, in 2016, and the Ph.D. degree in communications engineering from the University of Oulu, Finland, in 2021. He is currently a Post-Doctoral Researcher with the University of Oulu. His current research interests include queueing theory, information freshness, and stochastic optimization.