TY - GEN
T1 - Energy neutral operation of vibration energy-harvesting sensor networks for bridge applications
AU - Gaglione, Andrea
AU - Rodenas-Herraiz, David
AU - Jia, Yu
AU - Nawaz, Sarfraz
AU - Arroyo, Emmanuelle
AU - Mascolo, Cecilia
AU - Soga, Kenichi
AU - Seshia, Ashwin A
N1 - Copyright © 2018 Copyright is held by the authors. Permission is granted for indexing in the ACM Digital Library. This is an accepted manuscript of a paper published in EWSN 2018, the Proceedings of the 2018 International Conference on Embedded Wireless Systems and Networks.
PY - 2018/2/16
Y1 - 2018/2/16
N2 - Structural monitoring of critical bridge structures can greatly benefit from the use of wireless sensor networks (WSNs), however energy harvesting for the operation of the network remains a challenge in this setting. While solar and wind power are possible and credible solutions to energy generation, the need for positioning sensor nodes in shaded and sheltered locations, e.g., under a bridge deck, is also often precluding their adoption in real-world deployments. In some scenarios vibration energy harvesting has been shown as an effective solution, instead.This paper presents a multihop vibration energy-harvesting WSN system for bridge applications. The system relies on an ultra-low power wireless sensor node, driven by a novel vibration based energy-harvesting technology. We use a receiver-initiated routing protocol to enable energy-efficient and reliable connectivity between nodes with different energy charging capabilities. By combining real vibration data with an experimentally validated model of the vibration energy harvester, a hardware model, and the COOJA simulator, we develop a framework to conduct realistic and repeatable experiments to evaluate the system before on-site deployment.Simulation results show that the system is able to maintain energy neutral operation, preserving energy with careful management of sleep and communication times. We also validate the system through a laboratory experiment on real hardware against real vibration data collected from a bridge. Besides providing general guidelines and considerations for the development of vibration energy-harvesting systems for bridge applications, this work highlights the limitations of the energy budget made available by traffic-induced vibrations, which clearly shrink the applicability of vibration energy-harvesting technology for WSNs to low traffic applications.
AB - Structural monitoring of critical bridge structures can greatly benefit from the use of wireless sensor networks (WSNs), however energy harvesting for the operation of the network remains a challenge in this setting. While solar and wind power are possible and credible solutions to energy generation, the need for positioning sensor nodes in shaded and sheltered locations, e.g., under a bridge deck, is also often precluding their adoption in real-world deployments. In some scenarios vibration energy harvesting has been shown as an effective solution, instead.This paper presents a multihop vibration energy-harvesting WSN system for bridge applications. The system relies on an ultra-low power wireless sensor node, driven by a novel vibration based energy-harvesting technology. We use a receiver-initiated routing protocol to enable energy-efficient and reliable connectivity between nodes with different energy charging capabilities. By combining real vibration data with an experimentally validated model of the vibration energy harvester, a hardware model, and the COOJA simulator, we develop a framework to conduct realistic and repeatable experiments to evaluate the system before on-site deployment.Simulation results show that the system is able to maintain energy neutral operation, preserving energy with careful management of sleep and communication times. We also validate the system through a laboratory experiment on real hardware against real vibration data collected from a bridge. Besides providing general guidelines and considerations for the development of vibration energy-harvesting systems for bridge applications, this work highlights the limitations of the energy budget made available by traffic-induced vibrations, which clearly shrink the applicability of vibration energy-harvesting technology for WSNs to low traffic applications.
KW - Data collection 1 Introduction
KW - Energy Harvesting
KW - Supercapacitors
KW - Vibrations
KW - Wireless Sensor Networks
UR - https://dl.acm.org/doi/abs/10.5555/3234847.3234849
UR - http://www.scopus.com/inward/record.url?scp=85084317836&partnerID=8YFLogxK
M3 - Conference publication
AN - SCOPUS:85084317836
T3 - International Conference on Embedded Wireless Systems and Networks
SP - 1
EP - 12
BT - Proceedings of the 2018 International Conference on Embedded Wireless Systems and Networks
A2 - Giustiniano, Domenico
A2 - Koutsonikolas, Dimitrios
T2 - International Conference on Embedded Wireless Systems and Networks, EWSN 2018
Y2 - 14 February 2018 through 16 February 2018
ER -