Work place: Department of Electrical Engineering, Tsinghua University, Beijing, P.R. China
E-mail: zhaowei@mail.tsinghua.edu.cn
Website:
Research Interests: Computational Engineering, Engineering
Biography
Wei Zhao received the B.S., M.S. degree in Electrical Engineering from Tsinghua University.
He is a professor of the Department of Electrical Engineering for Tsinghua University. He also serves as the Dean of the Department of Electrical Engineering for Tsinghua University. His research interests include virtual instrument technology, electronic measurement, data fusion and sensor network technologies and application.
By Chunyan Qiu Wei Zhao Jianhua Jiang Jialing Han
DOI: https://doi.org/10.5815/ijeme.2013.01.03, Pub. Date: 29 Jan. 2013
With the rapid development of economy, information Security is becoming more and more important for any modern organization in recent years. Therefore, How to teach information security is a challenge to universities. This paper aims to apply schema theory to information security curriculum. The teaching result shows that there is a significant difference in final exam and practice exam between the proposed model and a regular teaching model.
[...] Read more.By Jing Yang Wei Zhao Mai Xu Baoguo Xu
DOI: https://doi.org/10.5815/ijcnis.2009.01.07, Pub. Date: 8 Oct. 2009
For monitoring burst events in a kind of reactive wireless sensor networks (WSNs), a multipath routing protocol (MRP) based on dynamic clustering and ant colony optimization (ACO) is proposed.. Such an approach can maximize the network lifetime and reduce the energy consumption. An important attribute of WSNs is its limited power supply, and therefore in MRP, some metrics (such as energy consumption of communication among nodes, residual energy, path length) are considered as very important criteria while designing routing. Firstly, a cluster head (CH) is selected among nodes located in the event area according to some parameters, such as residual energy. Secondly, an improved ACO algorithm is applied in search for multiple paths between the CH and sink node. Finally, the CH dynamically chooses a route to transmit data with a probability that depends on many path metrics, such as energy consumption. The simulation results show that MRP can prolong the network lifetime, as well as balance energy consumption among nodes and reduce the average energy consumption effectively.
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