Dr. Yanxiao Zhao is an Assistant Professor in the Electrical and Computer Engineering Department, Virginia Commonwealth University, where she joined in Aug. 2018. Prior to joining VCU, Dr. Zhao was an Assistant Professor at South Dakota School of Mines and Technology from 2012-2018, where she was awarded tenure and promotion in spring 2018. She received her Ph.D. degree from the Department of Electrical and Computer Engineering, Old Dominion University, USA, in May 2012, under the supervision of Dr. Min Song. Dr. Zhao’s research interests include, but not limited to: cyber security, wireless networks including cognitive radio networks, vehicular networks, wireless autonomous networks, wireless body area networks, software-defined networks, and device-to-device (D2D) communications, energy harvesting for Internet of Things with wearable sensors, power management and communications in smart grid. Dr. Zhao’s research has been supported by different agencies. Dr. Zhao has published over 60 papers in prestigious journals and international conferences. She was the recipient of the Best Paper Award for two international conferences WASA2009 and ChinaCom2016. She has been actively organizing international conferences by serving as TPC co-chair, publicity chairs and TPC members. She is an IEEE Senior Member.
Industry Expertise (2)
Areas of Expertise (4)
Old Dominion University: Ph.D., Electrical and Computer Engineering 2012
Selected Articles (17)
G. Wang, Y. Zhao, J. Huang, W. Wang
In this article, we first survey the state-of-the-art solutions to the controller placement problem in SDN, and draw a
taxonomy based on their objectives, and then propose a new approach to minimize the packet propagation latency between controllers and switches.
Y. Zhao, MD N. Anjum, L. Pu, G. Wang, Y. Luo
In this paper, we fully consider the distinct delay constraints and frame demands of users and formulate the resource allocation optimization problem as an integer programming problem. A new approach termed On Demand Delay-constrained Fair Distribution (ODDFD) is proposed to solve this optimization problem.
Y. Luo, L. Pu, Y. Zhao, G. Wang, M. Song
We propose a new energy harvesting strategy that uses a dedicated energy source (ES) to optimally replenish energy for radio frequency (RF) energy harvesting powered Internet of Things. Specifically, we develop a two-step dual tunnel energy requesting (DTER) strategy that minimizes the energy consumption on both the energy harvesting device and the ES.
G. Wang, Y. Zhao, Y. Ying, J. Huang, R. Winter
In this paper, we investigate the DAP placement problem and propose solutions to reduce the distance between DAPs and smart meters. Specifically, the DAP placement problem is formulated with two objectives, e.g., the average distance minimization and the maximum distance minimization.
Y. Luo, L. Pu, Y. Zhao, J. Cui
In this paper, we propose a new communication scheme, called the mirror node assisted communication (MNAC), to improve the channel efficiency in underwater sensor networks (UWSNs). In the new scheme, a mirror node is selected properly for each specified source node so that the signals from the source and the mirror nodes could add destructively at a protected receiver.
Y. Zhao, Z. Hong, Y. Luo, G. Wang, L. Pu
In this paper, we propose a new prediction-based spectrum management strategy to tackle this challenge. Both spectrum prediction and users’ mobility prediction are fully considered in the proposed strategy.
Y. Luo, L. Pu, Y. Zhao, J. Cui
In this letter, we study delay uncertainties of a real underwater system on sending and receiving acoustic signals. Based on experimental data, the delay is first decomposed into seven components, then the features of each component are studied carefully.
J. Huang, Y. Yin, Y. Zhao, Q. Duan, W. Wang, S. Yu,
In this paper, we investigate the resource allocation issue for intercell scenarios where a D2D link is located in the overlapping area of two neighboring cells. Furthermore, we present three intercell D2D scenarios regarding the resource allocation problem.
M. Hasan, Y. Zhao, G. Wang, Y. Luo, R. Winter
To detect and prevent flooding attacks, we propose a new AODV-based routing protocol called FLOoding aWareness AODV (FLOW-AODV) considering both with and without Internet Protocol (IP) spoofing.
Md R. Hasan, Y. Zhao, G.Wang, Y. Luo and R. Winter,
To detect and avoid black hole attacks, we propose a new routing protocol, termed Enhanced Ad-hoc On-Demand Distance Vector (E-AODV) by modifying the Route Reply (RREP) system based on AODV.
Y. Luo, L. Pu, Y. Zhao, G.Wang, M. Song,
This paper introduces a new energy harvesting strategy that uses a dedicated energy source to optimally replenish energy for radio frequency (RF) based wireless communication systems. Specifically, we develop a two-step dual tunnel energy requesting (DTER) strategy that allows an energy harvesting device to effectively obtain energy from a dedicated energy source.
G. Wang, Y. Zhao, J. Huang, Q. Duan, J. Li,
In this paper, we investigate multi-controller placement problem from the perspective of latency minimization. Distinct from previous works, the network partition technique is introduced to simplify the problem.
Y. Zhao, Z. Hong, G. Wang, J. Huang
In this paper, we propose a novel prediction approach termed high-order hidden bivariate Markov model (H^2BMM), by leveraging the advantages of both HBMM and high-order. H^2BMM applies two dimensional parameters, i.e., hidden process and underlying process, to more accurately describe the channel behavior.
Y. Zhao, MD N. Anjum, M. Song, X. Xu, G. Wang
To fully consider various delay constraints and
frame demands, in this paper we formulate the resource allocation optimization problem as an integer programming problem and present a new approach termed On Demand Delay-constrained Fair Distribution (ODDFD).
Y. Zhao, J Huang, W Wang, R. Zaman
In this paper, we address this issue and propose to employ an Angle of Arrival (AoA) based sensing approach to effectively distinct a primary user's signal from a secondary user' signal.
Y. Zhao, M. Song, C. Xin
In this paper, we introduce a novel MAC protocol, termed fairness-oriented media access control (FMAC), to address the dynamic availability of channels and achieve fair and efficient coexistence of cognitive radio networks.
Y. Zhao, M. Song, C. Xin, M. Wadhwa
In this paper, we propose a three-state sensing model that distinguishes the channel into three states: idle, occupied by a primary user, or occupied by a secondary user.