An Optimal Design and Deployment of Wireless and Optical Sensor Networks

• Applicant: Professorin Dr.-Ing. Anke Schmeink
• Subject Area: Electronic Semiconductors, Components and Circuits, Integrated Systems, Sensor Technology, Theoretical Electrical Engineering
• Term: from 2016 to 2023
• Project identifier: Deutsche Forschungsgemeinschaft (DFG) - Project number 325573538

• Final Report Year: 2024

Final Report Abstract

This project focuses on the development of cost-effective and optimal design and deployment strategies for wireless sensor networks. In order to address the limitation of sensors with low-energy capacity, we explore novel algorithms and innovative transmission schemes to achieve fast and energy-efficient performance in applications such as channel estimation and target detection. Energy harvesting techniques are also explored to further extend the sensors’ lifetime. Furthermore, the performance and energy cost of the network are dependent on the relative position of the transmitter and receiver. Given the sensor positions, an optimal receiver positioning is proposed.

Publications

• Set-membership affine projection channel estimation for wireless sensor networks. 2015 IEEE International Conference on Communications (ICC), 6199-6204. IEEE.
  Ghofrani, Pouya; Wang, Tong & Schmeink, Anke
  
• Efficient set-membership filtering algorithms for wireless sensor networks. 2016 IEEE International Conference on Wireless for Space and Extreme Environments (WiSEE), 25-30. IEEE.
  Ghofrani, Pouya & Schmeink, Anke
  
• A fast energy-aware multi-target detection technique using binary wireless sensors. 2017 International Symposium on Wireless Communication Systems (ISWCS), 252-257. IEEE.
  Ghofrani, Pouya & Schmeink, Anke
  
• A Fast Converging Channel Estimation Algorithm for Wireless Sensor Networks. IEEE Transactions on Signal Processing, 66(12), 3169-3184.
  Ghofrani, Pouya; Wang, Tong & Schmeink, Anke
  
• 3-D Energy Optimal Receiver Placement With Constraints on the LOS Delay and Angle. IEEE Transactions on Wireless Communications, 18(4), 2156-2169.
  Ghofrani, Pouya & Schmeink, Anke
  
• “On the efficient signal processing and positioning schemes for wireless sensor networks,” PhD thesis, RWTH Aachen University, Aachen, Germany, Nov. 2019
  P. Ghofrani
  
• On the Optimal Precoding for MISO-WSN: One Time Slot Detection of Multiple Binary Data on the Same Frequency Band. IEEE Transactions on Wireless Communications, 20(2), 997-1010.
  Ghofrani, Pouya & Schmeink, Anke
  
• Cooperative Power Control and Beamforming Design for Multi-Source Enabled Wireless Power Transfer Networks. 2024 18th European Conference on Antennas and Propagation (EuCAP), 1-5. IEEE.
  Yuan, Xiaopeng; Zhang, Huanyu; Zheng, Paul & Schmeink, Anke
  
• Joint Resource Allocation and Reliability Maximization in NOMA-Assisted Cooperative URLLC Networks. 2024 IEEE Wireless Communications and Networking Conference (WCNC), 1-6. IEEE.
  Yuan, Xiaopeng; Li, Boyao; Zhu, Yao; Hu, Yulin & Schmeink, Anke