Efficiency-Aware: Maximizing Energy Utilization for Sensor Nodes Using Photovoltaic-Supercapacitor Energy Systems
Recently, photovoltaic-supercapacitor-based energy systems have become more and more popular in the design of energy harvesting wireless sensor networks (EH-WSNs) as an alternative to battery power. Existing research on this area mainly focuses on hardware design and the improvement of the charging...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2013-04-01
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| Series: | International Journal of Distributed Sensor Networks |
| Online Access: | https://doi.org/10.1155/2013/627963 |
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| _version_ | 1832547859663159296 |
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| author | Zheng Liu Xinyu Yang Shusen Yang Julie McCann |
| author_facet | Zheng Liu Xinyu Yang Shusen Yang Julie McCann |
| author_sort | Zheng Liu |
| collection | DOAJ |
| description | Recently, photovoltaic-supercapacitor-based energy systems have become more and more popular in the design of energy harvesting wireless sensor networks (EH-WSNs) as an alternative to battery power. Existing research on this area mainly focuses on hardware design and the improvement of the charging efficiency. However, energy is wasted not only by the inefficient charging process, but also the inefficient discharging process and energy leakage. Therefore, to maximize node lifetime and energy utilization, all the previous energy loss should be considered. In this paper, we develop realistic hardware models of the complete photovoltaic-supercapacitor energy systems and propose the efficiency-aware , a systematic duty cycling framework to maximize energy utilization. We formalize the maximization problem as a nonlinear optimization problem and develop two efficient algorithms for its optimal solutions. The performance of our approaches is evaluated via extensive numeric simulations, and the results show that our efficiency-aware framework can, respectively, achieve 60% and 56% more active time (i.e. energy utilization) than the fixed duty cycle scheme and leakage-aware , a state-of-the-art scheme for photovoltaic-supercapacitor energy systems. |
| format | Article |
| id | doaj-art-93823571b09d4c48b67f1ac0ad5a40b6 |
| institution | Kabale University |
| issn | 1550-1477 |
| language | English |
| publishDate | 2013-04-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Distributed Sensor Networks |
| spelling | doaj-art-93823571b09d4c48b67f1ac0ad5a40b62025-02-03T06:43:14ZengWileyInternational Journal of Distributed Sensor Networks1550-14772013-04-01910.1155/2013/627963Efficiency-Aware: Maximizing Energy Utilization for Sensor Nodes Using Photovoltaic-Supercapacitor Energy SystemsZheng Liu0Xinyu Yang1Shusen Yang2Julie McCann3 Computer Science and Technology Department, School of Electronics & Information Engineering, Xi'an Jiaotong University, Xi'an 710049, China Computer Science and Technology Department, School of Electronics & Information Engineering, Xi'an Jiaotong University, Xi'an 710049, China Department of Computing, Imperial College London, London SW7 2AZ, UK Department of Computing, Imperial College London, London SW7 2AZ, UKRecently, photovoltaic-supercapacitor-based energy systems have become more and more popular in the design of energy harvesting wireless sensor networks (EH-WSNs) as an alternative to battery power. Existing research on this area mainly focuses on hardware design and the improvement of the charging efficiency. However, energy is wasted not only by the inefficient charging process, but also the inefficient discharging process and energy leakage. Therefore, to maximize node lifetime and energy utilization, all the previous energy loss should be considered. In this paper, we develop realistic hardware models of the complete photovoltaic-supercapacitor energy systems and propose the efficiency-aware , a systematic duty cycling framework to maximize energy utilization. We formalize the maximization problem as a nonlinear optimization problem and develop two efficient algorithms for its optimal solutions. The performance of our approaches is evaluated via extensive numeric simulations, and the results show that our efficiency-aware framework can, respectively, achieve 60% and 56% more active time (i.e. energy utilization) than the fixed duty cycle scheme and leakage-aware , a state-of-the-art scheme for photovoltaic-supercapacitor energy systems.https://doi.org/10.1155/2013/627963 |
| spellingShingle | Zheng Liu Xinyu Yang Shusen Yang Julie McCann Efficiency-Aware: Maximizing Energy Utilization for Sensor Nodes Using Photovoltaic-Supercapacitor Energy Systems International Journal of Distributed Sensor Networks |
| title | Efficiency-Aware: Maximizing Energy Utilization for Sensor Nodes Using Photovoltaic-Supercapacitor Energy Systems |
| title_full | Efficiency-Aware: Maximizing Energy Utilization for Sensor Nodes Using Photovoltaic-Supercapacitor Energy Systems |
| title_fullStr | Efficiency-Aware: Maximizing Energy Utilization for Sensor Nodes Using Photovoltaic-Supercapacitor Energy Systems |
| title_full_unstemmed | Efficiency-Aware: Maximizing Energy Utilization for Sensor Nodes Using Photovoltaic-Supercapacitor Energy Systems |
| title_short | Efficiency-Aware: Maximizing Energy Utilization for Sensor Nodes Using Photovoltaic-Supercapacitor Energy Systems |
| title_sort | efficiency aware maximizing energy utilization for sensor nodes using photovoltaic supercapacitor energy systems |
| url | https://doi.org/10.1155/2013/627963 |
| work_keys_str_mv | AT zhengliu efficiencyawaremaximizingenergyutilizationforsensornodesusingphotovoltaicsupercapacitorenergysystems AT xinyuyang efficiencyawaremaximizingenergyutilizationforsensornodesusingphotovoltaicsupercapacitorenergysystems AT shusenyang efficiencyawaremaximizingenergyutilizationforsensornodesusingphotovoltaicsupercapacitorenergysystems AT juliemccann efficiencyawaremaximizingenergyutilizationforsensornodesusingphotovoltaicsupercapacitorenergysystems |