ECE Seminar* Research Presentations
When: Friday,
April 10, 2015
1:30 PM
-
2:15 PM
Cost: free
Description: Location: DION Building - Room 114
First Presenter: Mr. Amir Ehsani Zonouz, Ph.D. Student, UMass Dartmouth
Topic: Reliability Based Optimization in Hybrid Wireless Sensor Networks
Abstract:
Sensor nodes in wireless sensor networks (WSNs) are usually battery-powered sensor nodes (BPSNs) and can rarely meet design goals such as network lifetime, energy and reliability. Energy-harvesting sensor nodes (EHSNs) are an alternative type of sensor nodes, which are capable of converting different types of energy to electrical energy. They have longer lifetime but higher cost than BPSNs. Combining BPSNs and EHSNs in a heterogeneous WSN has the potential to deal with the conflicting design goals. In addition, consider certain scenarios where replacing batteries of BPSNs is impossible, EHSNs can be deployed instead to satisfy the quality of service (QoS) of applications running on the hybrid WSN. In this work, we study a hybrid WSN including both types of sensor nodes to deal with the network reliability and cost requirements, particularly, the limited lifetime of BPSNs and high cost of EHSNs. The problem is to find the optimal locations for a specific number of EHSNs in the hybrid WSN with the objective to provide the best combination of average path reliability, implementation path cost, and average energy consumption based on the QoS requirements. Both the centrality concept and the multivariable nonlinear programming method are explored to find the optimal positions for EHSNs in the hybrid WSN.
Biography:
Mr. Amir Ehsani Zonouz is currently pursuing the PhD degree in computer engineering at University of Massachusetts, Dartmouth, USA. From 2011, he is a Research Assistant in Dependable Computing and Networking (DCN) research group. His research centers on reliability and energy efficiency of wireless networks. From 2007 to 2010, he also worked on Computer Architecture, System/Network-On-Chip and FPGA Design.
The Seminars is open to the public free of charge.
*For further information, please contact Dr. Liudong Xing at 508.999.8883, or by via email at lxing@umassd.edu.
First Presenter: Mr. Amir Ehsani Zonouz, Ph.D. Student, UMass Dartmouth
Topic: Reliability Based Optimization in Hybrid Wireless Sensor Networks
Abstract:
Sensor nodes in wireless sensor networks (WSNs) are usually battery-powered sensor nodes (BPSNs) and can rarely meet design goals such as network lifetime, energy and reliability. Energy-harvesting sensor nodes (EHSNs) are an alternative type of sensor nodes, which are capable of converting different types of energy to electrical energy. They have longer lifetime but higher cost than BPSNs. Combining BPSNs and EHSNs in a heterogeneous WSN has the potential to deal with the conflicting design goals. In addition, consider certain scenarios where replacing batteries of BPSNs is impossible, EHSNs can be deployed instead to satisfy the quality of service (QoS) of applications running on the hybrid WSN. In this work, we study a hybrid WSN including both types of sensor nodes to deal with the network reliability and cost requirements, particularly, the limited lifetime of BPSNs and high cost of EHSNs. The problem is to find the optimal locations for a specific number of EHSNs in the hybrid WSN with the objective to provide the best combination of average path reliability, implementation path cost, and average energy consumption based on the QoS requirements. Both the centrality concept and the multivariable nonlinear programming method are explored to find the optimal positions for EHSNs in the hybrid WSN.
Biography:
Mr. Amir Ehsani Zonouz is currently pursuing the PhD degree in computer engineering at University of Massachusetts, Dartmouth, USA. From 2011, he is a Research Assistant in Dependable Computing and Networking (DCN) research group. His research centers on reliability and energy efficiency of wireless networks. From 2007 to 2010, he also worked on Computer Architecture, System/Network-On-Chip and FPGA Design.
The Seminars is open to the public free of charge.
*For further information, please contact Dr. Liudong Xing at 508.999.8883, or by via email at lxing@umassd.edu.
Contact:
ECE: Electrical & Computer Engineering Department 508.999.9164 http://www.umassd.edu/engineering/ece/
Topical Areas: General Public, University Community, College of Engineering, Electrical and Computer Engineering